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International INTERNATIONAL Journal of Civil Engineering JOURNAL and OF Technology CIVIL (IJCIET), ENGINEERING ISSN 0976 – 6308 AND 
(Print), 
ISSN 0976 – 6316(Online), Volume 5, Issue 10, October (2014), pp. 58-73 © IAEME 
TECHNOLOGY (IJCIET) 
ISSN 0976 – 6308 (Print) 
ISSN 0976 – 6316(Online) 
Volume 5, Issue 10, October (2014), pp. 58-73 
© IAEME: www.iaeme.com/Ijciet.asp 
Journal Impact Factor (2014): 7.9290 (Calculated by GISI) 
www.jifactor.com 
IJCIET 
©IAEME 
INVESTIGATION OF MATERIAL WASTE INCURRED IN 
 58 
 
THE CONSTRUCTION PROJECTS AT KARBALA 
PROVINCE IN IRAQ 
Dr. Zeyad S. M. Khaled 1, Dr. Basil S. Alshathr 2, Ali Hasan Hadi3 
1(College of Engineering, Alnahrain University/ Baghdad, Iraq) 
2, 3(Building and Construction Engineering Department, University of Technology/ Baghdad, Iraq) 
ABSTRACT 
Construction waste is continually increasing due to everlasting need of new building and 
infrastructure development projects. This has become one of the major environmental problems all 
over the world. According to the European Union Waste Strategy, construction waste is considered 
as one of the priority waste streams. This research aims at finding out waste percentages of 
construction materials at the local construction industry in Karbala. Data of ten major construction 
materials are extracted from past records of thirty finished projects. In addition, a field study is 
employed to measure wastes of the same construction materials from six under construction projects. 
Data analysis is carried out using the Statistical Package for Social Sciences (SPSS). Goodness of fit 
tests, and t- Tests under (99%) level of confidence are conducted. Results show that waste 
percentages of construction materials on local scale are fairly high and widely variable across the 
studied projects, and there is lack of interest in waste minimization by all participants. The majority 
of this waste can be avoided by implementing some preventive measures during construction, value 
engineering, sustainability concepts, and constructability review at the pre-construction phases. 
Keywords: Construction Materials Waste, Materials Waste Management, Waste Recycling, 
Waste Reuse. 
1. INTRODUCTION 
Construction waste is a major challenge because of its tremendous environmental and 
economic bad effects. On global scale, construction waste produces an average of (32%) of the total 
annual waste that is disposed to landfills. It comprises (10-20%) of the total annual construction
International Journal of Civil Engineering and Technology (IJCIET), ISSN 0976 – 6308 (Print), 
ISSN 0976 – 6316(Online), Volume 5, Issue 10, October (2014), pp. 58-73 © IAEME 
materials used. Since construction materials account for (40-50%) of the total cost of construction 
projects, thence (4-10%) of the project total cost is wasted [1]. 
 59 
 
1.1 RESEARCH OBJECTIVE 
This study aims at finding out waste percentages of ten major construction materials on local 
scale. 
Results can be employed as early warning indicators that point out any access in waste 
percentages at early stages in order to offer a chance to understand causes of waste and employ 
suitable treatments in time. 
1.2 RESEARCH JUSTIFICATION 
Construction waste in the local construction industry is not paid enough care. The official 
bodies concerned almost overly ignore it. There is a serious need to understand the impact of 
construction waste on the environment. In addition to the economic benefits gained through reducing 
the construction cost. 
1.3 RESEARCH HYPOTHESES 
Construction materials waste at the local construction industry in Karbala exceeds the limits 
of the Ministry of Housing and Construction. This excess wastage can be eliminated by improving 
the materials management process. 
1.4 RESEARCH METHODOLOGY 
A wide survey of literature is conducted through the net to explore construction waste types, 
causes, and treatment. Past records of thirty completed construction projects for each major type of 
construction materials are studied carefully and analyzed. Observations of the streamline of materials 
and workflow in six under construction projects are also conducted to check and verify past records. 
2. CONSTRUCTION MATERIAL WASTE 
Construction waste is defined as any losses produced by activities that generate direct or 
indirect costs but do not add any value to the product from the point of view of the client [2]. It is 
also defined as the surplus materials that are generated from construction, renovation and demolition 
activities [3]. 
According to the U.S. Environmental Protection Agency (USEPA), construction waste 
materials also include packaging material and rubble material that results from construction, 
remodeling, repair, and demolition operations. In addition to any improvement materials that may be 
used in construction sites [4]. 
2.1 CAUSES OF CONSTRUCTION WASTE 
The main causes that lead to generate material wastage in construction projects are found to 
be [5]: 
i. Design mistakes. ii. Wrong specifications. 
iii. Lack of execution information. iv. Bad estimating. 
v. Bad transportation. vi. Bad storage of materials. 
vii. Bad handling of materials. viii. Bad workmanship. 
ix. Lack of supervision. x. Inefficient site management.
International Journal of Civil Engineering and Technology (IJCIET), ISSN 0976 – 6308 (Print), 
ISSN 0976 – 6316(Online), Volume 5, Issue 10, October (2014), pp. 58-73 © IAEME 
 60 
 
2.2 CLASSIFICATION OF CONSTRUCTION WASTE 
Construction waste is generally classified according to: 
• The possibility of controlling the process of material usage where waste is classified into 
avoidable waste (produced due the execution technique) and unavoidable waste (inherent in the 
execution of the activity) [6]. 
• Its nature into direct waste (related to the physical nature of materials) and indirect waste 
(related to the financial loss and the surplus use of materials). Both types exist in all seven 
phases of work; delivery, processing, overproduction, substitution, waiting time, movement, and 
inventories [7]. 
• Its origin, i.e. the stage that the main root cause is related to. Table (1) summarized the origins of 
waste and its causes in each origin [8]: 
Table 1: Construction waste origins and causes 
Origins Causes of waste 
Design Complexity, errors, changes, non-clarity, unsuitability … 
Contract Errors, incomplete contract documents ... 
Supply Ordering errors, over allowances, supplier errors ... 
Transport Damage, improper site access, inefficient unloading ... 
Storage Inappropriate place or location, improper methods … 
Handling Inadequate, loose form ... 
Planning Improper organization, information, supervision … 
Mgmt. Malfunction, poor craftsmanship, wrong materials … 
Residual Off-cuts, uneconomical shapes, packaging ... 
Others Weather, vandalism, theft ... 
3. SIMILAR PREVIOUS RESEARCHS 
Material waste in (114) construction sites in the UK have been monitored. It was found that 
there is a considerable amount of waste that can be avoided by adopting relatively simple prevention 
procedures. In addition, storage and handling were pointed out as the major causes of construction 
waste [9].
International Journal of Civil Engineering and Technology (IJCIET), ISSN 0976 – 6308 (Print), 
ISSN 0976 – 6316(Online), Volume 5, Issue 10, October (2014), pp. 58-73 © IAEME 
In the United State, an empirical study was conducted in which five houses at four separate 
construction sites were observed. Three processes were analyzed: masonry foundations, timber 
frames, and concrete members. The main causes of waste were investigated, based on a model that 
generically describes the flow of solid waste in building sites and on a proposed classification of 
waste according to its sources. One of the major sources of waste was the residual scrap resulting 
from cutting materials. Packaging and improper handling were also identified as fairly important 
causes of waste [10]. 
A two years study co-ordinated by the Brazilian Institute of Technology and Quality in 
Construction (ITQC) involving (15) universities and more than one hundred construction sites had 
been conducted. The wastes of eighteen construction materials were monitored. The study concluded 
that the waste of construction materials is higher than the percentages that are assumed by the 
companies in their cost estimates, and the variability between the waste indices from site to site 
indicates that a considerable portion of this wastage can be avoided [11]. 
Another study was developed in Hong Kong University. The main objective of this study was 
to collect data about waste in construction materials. Seventeen construction companies were 
surveyed to collect the necessary data. The study found that there are different levels of waste for the 
different types of projects [12]. 
 61 
 
4. DATA ACQUISITION 
To determine the average waste percentages of construction materials at the local 
construction industry in Karbala, past records of thirty construction projects concerning each major 
type of construction materials are studied carefully and analyzed. Table (2) summarizes the 
distribution of these finished projects among local principal clients. On the other hand field 
investigations that include live observations of materials flow and waste generation in six under 
construction projects are also conducted. Table (3) summarizes the distribution of these under 
construction projects among local principal clients. 
Table 2: Finished projects covered by the study 
Client No. of projects 
Directorate of Karbala Municipality. 5 
Directorate of Karbala Education. 10 
General Directorate of Roads and Bridges. 3 
Directorate of Karbala Electric. 2 
General Secretariat of the Husseiniya Shrine. 9 
General Secretariat of the Abasia Shrine. 1 
Total 30
International Journal of Civil Engineering and Technology (IJCIET), ISSN 0976 – 6308 (Print), 
ISSN 0976 – 6316(Online), Volume 5, Issue 10, October (2014), pp. 58-73 © IAEME 
 62 
 
Table 3: Under construction projects covered by the study 
Client No. of projects 
Karbala Investment Commission. 1 
Directorate of Karbala Education. 2 
Karbala Health Department. 1 
General Secretariat of the Husseiniya Shrine. 2 
Total 6 
A preliminary meeting was held with each executive manager to explain the objectives of this 
study and the procedure to be followed as well as to agree upon the way of coordination with the 
archive officials of the finished projects to extract data from past records. 
In a parallel endeavor, the same meetings were held concerning the six under construction 
projects in order to agree upon the coordination with the construction site staff about field 
observations. During field observation, periodical meetings are held with the related staff of the six 
under construction projects including contractors, consultants, resident engineers, site managers, 
quantity surveyors, and store keepers. The meeting aims at a clearer understanding of the causes and 
origins of waste and the possible preventive actions. 
4.1 PAST RECORDS 
A retrospective study is conducted to extract data from the materials ordering sheets of thirty 
finished projects and estimate net quantities from related drawings. Ordering records of construction 
materials were analyzed in order to determine the actually purchased quantities of materials, while 
the net required quantities of materials were accurately estimated from design drawings. The 
required quantity of each material is the quantity needed to execute a definite item according to 
design (so called estimated). The purchased quantity of material is the quantity actually delivered to 
execute the same item of work (so called Consumed). Waste percentage is then simply calculated by 
using equation (1) as follows: 
W% =
……………… (1) 
4.2 FIELD OBSERVATION 
On the other hand, an observational method is employed to measure the required data in six 
under construction projects by the aid of a worksheet that is shown in Fig. (1). 
The stream line movement of materials once it is delivered the work site until being used and 
built in its final position is intensively tracked and measured. Several factors that usually cause 
construction materials waste in local construction industry are studied in an attempt to discover their 
influences. The construction materials streamline flowchart is illustrated in Fig. (2). 
At the storage phase, many factors can cause more construction materials waste. 
Inappropriate storing, ineffective control, poor organization, and hasty work are some of them. At
International Journal of Civil Engineering and Technology (IJCIET), ISSN 0976 – 6308 (Print), 
ISSN 0976 – 6316(Online), Volume 5, Issue 10, October (2014), pp. 58-73 © IAEME 
hauling and placing phases, it is found that the main reason to generate waste is workmanship. 
Without careful control and rewarding systems, construction workers may become careless in 
hauling and processing materials. As a result; reusable reinforcement bars, discarded half-bags of 
cement, discarded brick and timber pieces are often thrown around the sites. The research study 
indicates that skill, enthusiasm and collectivism are the main factors affecting the amounts of wastes 
produced by workers. 
 63 
 
Construction Materials Waste Data acquisition Worksheet 
General Information 
Sheet No.: Date: Location: 
Material: Work Time: (from: to: ) 
Project: 
Contractor: 
Client: 
Field Measurements 
Activity: 
Construction Method: 
Weather: Temperature: Moisture: 
Level of execution: 
Estimated Quantity: 
According to drawing No.: 
Actual quantity: 
According to delivery sheet No.: 
Calculation Results 
W% = 
	 
 
  
W% = ( ) % 
Specific Notes 
Figure 1: Data acquisition worksheet form
International Journal of Civil Engineering and Technology (IJCIET), ISSN 0976 – 6308 (Print), 
ISSN 0976 – 6316(Online), Volume 5, Issue 10, October (2014), pp. 58-73 © IAEME 
 
Ordering Supply 
Storage 
Hauling 
Processing 
Residual materials Off-site 
Reusable Non-reusable 
 64 
 
Pre-construction phase 
Construction phase 
Estimating 
recycling, 
reclamation, 
or landfill. 
Figure 2: Construction materials streamline flowchart 
5. STUDY RESULTS 
Ten major construction materials that are used in the majority of construction activities 
namely; sand, gravel, cement, steel reinforcement, bricks, thermo-stone, gypsum, terrazzo tiles, 
marble, and ceramics are considered. Waste percentages are measured in various activities, of 
different architectural design, at several elevations, for various work gangs. Nevertheless, all of them 
are carried out at the same storage conditions, with the same way of unloading and handling, and at 
the same work conditions using the same specifications and equipment available at the local 
industry. Records of related quantities for thirty finished projects are collected and analyzed. The 
waste percentages determined in the retrospective study are shown in table (4). 
Table 4: Waste percentages of materials as for past records 
Project Sand Gravel Cement Steel Brick Stone Gyps. Tiles Marble Ceram. 
Almujtaba Library. 11.12 10.18 5.69 5.07 - 12.07 18.07 - - - 
Second Municipal. 11.32 10.25 5.41 4.59 15.24 - 17.88 - 8.19 8.39 
Sixth Municipal. 12.00 10.33 5.58 4.61 15.31 - 18.17 - 8.28 10.62 
Gardens Dept. 12.07 10.42 4.84 4.69 15.43 - 18.68 - 7.89 11.54 
Alwaeli Hospital. 12.66 10.53 4.76 4.73 - 11.43 17.85 - - - 
Alsomood school. 11.70 11.03 5.18 4.84 15.67 - 17.94 11.70 - - 
Alhindia school. 11.80 11.32 5.07 4.81 15.78 - 18.33 11.80 - -
International Journal of Civil Engineering and Technology (IJCIET), ISSN 0976 – 6308 (Print), 
ISSN 0976 – 6316(Online), Volume 5, Issue 10, October (2014), pp. 58-73 © IAEME 
 65 
 
Almojtaba school. 12.91 11.41 5.03 4.94 15.96 - 17.59 12.91 - - 
Alshimokh school. 12.98 11.28 5.08 5.13 16.1 - 18.95 12.98 - - 
Altaka school. 13.33 10.78 5.21 5.27 16.28 - 17.37 13.33 - - 
Omalhawa school. 11.80 10.62 5.33 5.39 16.38 - 13.91 11.8 - - 
Alrafidain school. 13.64 10.86 5.41 5.47 16.41 - 19.21 13.64 - - 
Aldobat school. 14.00 10.91 5.48 5.56 16.5 - 17.20 14.00 - - 
Alitarat school. 14.12 11.59 5.18 5.64 16.64 - 14.64 14.12 - - 
Alsalam nursery. 10.00 9.89 5.64 5.81 14.13 - 19.74 10.00 - - 
Alkawther Mall. 10.64 8.92 5.72 6.03 14.23 13.51 17.68 10.64 - 9.75 
Almustafa Mall. 12.07 8.75 5.91 6.21 - 13.79 14.94 12.07 - 6.81 
Zain Hospital. 12.04 8.61 6.22 6.46 - 13.97 17.58 - 7.27 - 
Alkafel Hospital. 12.13 8.83 6.43 6.90 - 17.02 17.47 - 7.38 - 
Alataba Plantation. 10.63 9.47 4.98 4.54 13.91 - 15.43 - - - 
Medinat Al-Zairin1. 12.50 9.56 4.83 4.48 13.64 - 20.31 - 6.54 9.88 
Medinat Al-Zairin2. 11.24 13.19 4.76 4.31 13.00 - 17.39 - 9.47 12.65 
Medinat Al-Zairin3. 14.55 11.73 4.62 4.18 12.74 - 15.77 - 9.67 7.81 
Mukhaim Toilets1. 12.66 12.19 4.53 4.01 - - 17.18 - 9.81 8.83 
Mukhaim Toilets2. 14.56 12.96 4.48 2.98 12.00 - 16.97 - 10.09 7.25 
Aldariba Bridge. 13.00 12.43 4.23 3.29 - - - - - - 
Towayrige Bridge. 13.30 12.69 4.08 3.48 16.91 - - - - - 
Algaire Bridge. 13.34 11.73 3.89 3.54 - - - - - - 
Friha E. Station. 14.45 11.84 3.71 3.72 17.46 - 16.28 13.34 - 13.39 
Alkhairat E. Station. 13.66 10.18 3.46 3.96 17.91 - 16.17 13.66 - 10.56
International Journal of Civil Engineering and Technology (IJCIET), ISSN 0976 – 6308 (Print), 
ISSN 0976 – 6316(Online), Volume 5, Issue 10, October (2014), pp. 58-73 © IAEME 
The observational study targeted the usage process during executing the same activities in 
both finished and under construction projects. When observed measures are compared with the 
estimated quantities, it is found that, most of the waste occurs due to estimating errors and storage 
defects. Improper storage areas cause a noticeable increase in waste because of acts of tamper, 
impairing, damp, dispersion, and mixture with other materials. The findings also reveal that, waste of 
steel reinforcement bars is not well considered at the design stage. Results of the field study 
indicated a lack of interest paid from both designers and contractors to optimize dimensions. It is 
found that, most of the brick waste occurs due to unloading and workmanship. Table (5) summarizes 
the waste percentages of the same materials obtained from the field study observations and shows 
waste representative rates founded by analyzing both past records and observed measures. 
 66 
 
Table 5: Observed waste percentages 
Project Sand Gravel Cement Steel Brick Stone Gyps. Tiles Marble Ceram. 
Durrat 
Housing. 
12.00 10.33 5.38 4.81 14.50 11.62 17.84 10.17 - 9.67 
Khatem 
Hospital. 
11.92 10.72 5.03 4.34 15.32 - - - - - 
Orphans 
School. 
13.01 11.01 5.29 4.64 - - - - - - 
Turkish 
Hospital. 
12.04 11.44 4.72 5.27 15 - - - 8.93 10.75 
Alsalam 
school. 
12.66 10.09 4.90 4.61 15.11 - 17.41 - - 8.81 
Almilad 
school. 
11.91 10.23 5.11 5.19 14.66 - 16.71 - - 9.08 
Norm 
rates 
12.47 10.76 5.03 4.81 15.23 12.77 17.25 9.45 9.19 10.27 
6. DATA ANALYSIS AND VERIFICATION 
In order to determine a representative waste percentage for each major construction material 
at the local scale, the past data obtained are tested against statistical measures. Normal distribution 
curves are fitted to verify the credibility of the determined statistical society of past records for each 
material using the Statistical Package for Social Sciences (SPSS) as shown in Fig. (3). Then, the 
distribution of each statistical society of past records is submitted to the Goodness of fit test to 
verify its characteristic under (99%) level of confidence. The results of goodness of fit test for all 
materials wastes are summarized in table (6) which reveals that (Ho) is accepted i.e. the statistical 
society of all materials wastes conform to the normal distribution. 
Reliability of the method adopted to determine the waste percentages of materials are verified 
against the data measured from field investigation of six under construction projects then a t- Test 
for six different iterations of each material at (99%) level of confidence is conducted. The results of 
hypotheses test of the field measures for all materials wastes are summarized in table (7) which 
reveals that (Ho) of each test is accepted i.e. the observed waste percentages of all materials have no 
significant diversion from the hypothetical mean.
International Journal of Civil Engineering and Technology (IJCIET), ISSN 0976 – 6308 (Print), 
ISSN 0976 – 6316(Online), Volume 5, Issue 10, October (2014), pp. 58-73 © IAEME 
 67 
 
Figure 3: Statistical distributions of past records
International Journal of Civil Engineering and Technology (IJCIET), ISSN 0976 – 6308 (Print), 
ISSN 0976 – 6316(Online), Volume 5, Issue 10, October (2014), pp. 58-73 © IAEME 
 68 
 
Table 6: Results of goodness of fit test of past records 
Materials Chi-Square Df * Asymp. Sig.** 
Sand 17.103 26 0.045 
Gravel 13.651 28 0.153 
Cement 2.406 26 0.194 
Reinforcement Steel Bars 2.087 29 0.081 
Bricks 3.12 29 0.09 
Thermo-stone 10.71 28 0.163 
Gypsum 4.333 29 0.294 
Terrazzo Tiles 26.059 28 0.067 
Marble 3.933 28 0.509 
Ceramics 8.083 29 0.019 
*Degree of Freedom. ** Two tailed test. 
Table 7: Results of hypotheses test of observed data 
Material 
Waste 
% 
t Df * Sig.** 
MeanDi 
f. 
Conf. Interval *** 
Lower Upper 
Sand 
12 2.391 29 0.023 0.5206 -0.795 1.1208 
11.92 2.759 29 0.01 0.6006 0.0005 1.2008 
13.01 -2.202 29 0.036 -0.4793 -1.079 0.1208 
12.04 2.208 29 0.035 0.4806 -0.1195 1.0808 
12.66 -0.64 29 0.527 -0.1393 -0.7395 0.4608 
11.91 2.805 29 0.009 0.6167 0.0105 1.2108 
Gravel 
10.33 19.74 29 0.058 0.4576 -0.1815 1.0968 
10.72 0.292 29 0.773 0.0676 -0.5715 0.7068 
11.01 -0.959 29 0.346 -0.2223 -0.8615 0.4168 
11.44 -2.813 29 0.009 -0.6523 -1.2915 -0.013 
10.09 3.009 29 0.005 0.6976 0.0585 1.3368 
10.23 2.405 29 0.023 0.5576 -0.815 1.1968 
Cement 
5.38 -2.778 29 0.009 -0.3573 -0.7118 -0.003 
5.03 -0.057 29 0.955 -0. 007 -0.3618 0.3472 
5.29 -2.079 29 0.047 -0.2673 -0.6218 0.0872 
4.72 2.353 29 0.026 0.3026 -0.0518 0.6572 
4.9 0.954 29 0.348 0.1226 -0.2318 0.4772 
5.11 -0.679 29 0.502 -0.0873 -0.4418 0.2672 
Reinfor-cement 
Steel 
Bars 
4.81 0.065 29 0.949 0.0113 -0.4696 0.4923 
4.34 2.759 29 0.01 0.4813 0.0004 0.9623 
4.64 1.039 29 0. 307 0.1813 -0.2996 0.6623 
5.27 0.571 29 0.016 -0.4467 -0.9296 0.0323 
4.61 1.211 29 0.236 0.2113 -0.2696 0.6923 
5.19 2.113 29 0.043 -0.3687 -0.8496 0.1123 
* Degrees of freedom. ** Two tailed test. *** 90% Confidence interval.
International Journal of Civil Engineering and Technology (IJCIET), ISSN 0976 – 6308 (Print), 
ISSN 0976 – 6316(Online), Volume 5, Issue 10, October (2014), pp. 58-73 © IAEME 
 69 
 
Table 7: Results of hypotheses test of observed data (continued) 
Material Waste % t Df * Sig.** Mean Dif. 
Conf. Interval *** 
Lower Upper 
Bricks 
14.5 2.903 29 0.007 0.801 0.0404 1.5616 
15.32 0.069 29 0.946 -0.019 -0.7796 0.7416 
14.93 1.345 29 0.189 0.371 -0.3896 1.1316 
15 1.091 29 0.284 0.301 -0.4596 1.0616 
15.11 0.692 29 0.494 0.191 -0.5696 0.9516 
14.66 2.323 29 0.027 0.641 -0.1196 1.4016 
Thermo-stone 
11.62 2. 937 29 0.006 1.1636 0.0715 2.2559 
12.84 0.766 29 0.45 0.3036 -0.7885 1.3959 
13.77 -2.489 29 0.019 -0.9863 -2.0785 0.1059 
13.59 -2.035 29 0.051 -0.8063 -1.8985 0.2859 
12.56 0.564 29 0.577 0.2236 -0.8685 1.3159 
12.07 1.801 29 0.082 0.7136 -0.3785 1.8059 
Gypsum 
17.84 -2.159 29 0.039 -0.5777 -1.3153 0.1599 
17.31 -0.178 29 0.86 -0.0477 -0.7853 0.6899 
16.96 1.1301 29 0.268 0.3023 -0.4353 1.0399 
18.01 -2.794 29 0.009 -0.74767 -1.4853 -0.010 
17.41 -0.552 29 0.585 -0.14767 -0.8853 0.5899 
16.71 2.064 29 0.048 0.55233 -0.1853 1.2899 
Terrazzo Tiles 
10.17 -2.545 29 0.016 -0.73733 -1.5358 0.0611 
9 1.494 29 0.146 0.43267 -0.3658 1.2311 
9.81 -1.303 29 0.203 -0.37733 -1.1758 0.4211 
8.63 2.771 29 0.01 0. 80267 0.0042 1.6011 
9.38 0.182 29 0.857 0.05267 -0.7458 0.8511 
10.31 -3.029 29 0.005 -0.87733 -1.6758 -0.079 
Marble 
9.52 -1.265 29 0.216 -0.34133 -1.0853 0.4027 
10 -3.043 29 0.005 -0.82133 -1.5653 -0.077 
8.44 2.737 29 0.01 0.73867 -0.053 1.4827 
8.93 0.921 29 0.365 0.24867 -0.4953 0.9927 
9.71 -1.968 29 0.059 -0.53133 -1.2753 0.2127 
9.07 0.403 29 0.69 0.10867 -0.6353 0.8527 
Ceramic 
9.67 1.724 29 0.095 0.68733 -0.4114 1.7861 
9.38 2.452 29 0.02 0.97733 -0.1214 2.0761 
10.17 0.47 29 0.642 0.18733 -0.9114 1.2861 
10.75 -0.985 29 0.333 -0.39267 -1.4914 0.7061 
9.13 3.079 29 0.005 1.22733 0.1286 2.3261 
10.08 0.696 29 0.492 0.27733 -0.8214 1.3761 
* Degrees of freedom. ** Two tailed test. *** 90% Confidence interval.
International Journal of Civil Engineering and Technology (IJCIET), ISSN 0976 – 6308 (Print), 
ISSN 0976 – 6316(Online), Volume 5, Issue 10, October (2014), pp. 58-73 © IAEME 
The test also helped to cross check the compatibility of waste percentages for each material 
obtained from past records with field observations. This means that, the waste percentages of all 
materials that are determined from past records do represent the waste percentages at the local 
construction industry of Karbala to an acceptable degree. 
It is quite clear that values of the mean, median and mode for each material waste are 
convergent values. This gives an indication to the consistency of data and its credibility. The travail 
skewness is acceptable due to specific circumstances of each project. The kurtosis is relatively small 
indicating that the distributions have a slightly high or low crest. The average of squares deviations is 
very slightly away from the mean value. All of that indicate that values tend to centralized around 
the mean values and the mean values can truly represent materials wastes in construction sites at 
Karbala. 
 70 
 
7. COMPARISON WITH MOHC LIMITS 
Table (8) shows the descriptive statistics of all materials wastes obtained by SPSS. The 
results summarized in table (8) confirm that the waste of materials at the local construction industry 
in Karbala is relatively higher than the limits set by the Iraqi Ministry of Housing and Construction 
(MOHC) and that much of this waste is predictable and avoidable which coincides with the research 
hypothesis. 
The fact that some relatively simple and inexpensive preventive measures have not been 
implemented in the local construction industry indicates a lack of knowledge among construction 
managers and contractors about the performance at their sites. The study of waste origins indicated 
that a high percentage of construction material waste occurs within materials flow activities such as 
material supply, storage, hauling and processing. 
Table 8: Results of major construction materials waste percentages 
Material Mean Median St. Dev. Variance Range MOHC* 
Sand 12.477 12.315 1.104 1.219 4.55 10 
Gravel 10.76 10.75 1.174 1.378 4.58 9 
Cement 5.03 5.05 0.648 0.42 2.97 4 
Reinforcement Steel 4.81 4.77 0.88 0.775 3.92 6 
Bricks 15.23 15.275 1.387 1.926 5.91 15 
Thermo-stone 12.77 12.7 2.01 4.044 8.81 15 
Gypsum 17.25 17.4 1.328 1.785 6.4 18 
Terrazzo tiles 9.45 9.265 1.466 2.151 6.25 10 
Marble 9.19 9.015 1.363 1.859 5.48 7 
Ceramics 10.27 9.965 2.008 4.034 8.26 7 
* After reference [13].
International Journal of Civil Engineering and Technology (IJCIET), ISSN 0976 – 6308 (Print), 
ISSN 0976 – 6316(Online), Volume 5, Issue 10, October (2014), pp. 58-73 © IAEME 
 71 
 
8. CONCLUSIONS AND RECOMMENDATIONS 
Through this work that covers (36) different construction projects executed by different 
contractors for the benefit of different owners, It is found that construction waste management 
concepts are absent in the prevailing professional culture at local scale in Karbala. In fact, the 
occurrence of waste for most materials is usually the result of a combination of factors. Unawareness 
of waste in pre-construction stages is among the most important causes of waste. This include lack of 
modular coordination in design, poor integration of building subsystems during the design stage, 
poor detailing of design, lack of resources optimization during design, imprecise specification of 
components. In addition to, poor site layout planning, mistakes in materials procurement, delivery, 
and distribution to the workplaces. 
8.1 CONCLUSIONS 
The main conclusions arrived at by this research is the following: 
1. The actual waste percentages of construction materials at the local scale at Karbala are more 
than the limits set by the Iraqi Ministry of Housing and Construction. 
2. Local contracting companies do not seem to be concerned about material waste hence they do 
not apply a systematic control of material usage. 
3. High variation of wastage is found at the same project itself for different construction 
materials. 
4. There is a considerable variance between the waste percentages from site to site for the same 
material even in similar projects. 
5. A serious absence of the appropriate knowledge of construction materials waste management 
to the extent that most of the contracting companies, do not know what amount of waste they 
suffer. 
6. Most of the generated waste can be avoided by implementing few preventive measures, mostly 
related to managerial actions. Low percentages of wastage at some sites provide an indication 
that high percentages are avoidable. 
7. A significant ratio of waste is predominantly caused by decisions taken before the execution 
stage, such as inadequate design, lack of planning, and flaws in the material supply system. 
8.2 RECOMMENDATIONS 
It is recommended to adopt the following in order to pass over the prevailing obsolete practice: 
1. The Ministry of Environment is invited to conduct a series of studies to determine the 
environmental and economic effects of the accumulation of construction waste in Iraq and to 
set regulation to keep it to a minimum. 
2. The Ministry of Construction and Housing is invited to issue a series of instructions to enable 
construction firms to use feasible approaches in managing the construction waste in a 
deliberate scientific way.
International Journal of Civil Engineering and Technology (IJCIET), ISSN 0976 – 6308 (Print), 
ISSN 0976 – 6316(Online), Volume 5, Issue 10, October (2014), pp. 58-73 © IAEME 
3. The Ministry of planning is invited to develop the contracts condition in order to compel 
contractors to apply the approaches of construction waste management at the construction 
phase. 
4. The Union of Iraqi contractors is invited to conduct symposiums to raise contractors' 
awareness using modern appropriate measures to lower down materials waste in the 
construction sites. 
5. The Iraqi Engineers League is invited to hold symposiums to raise the awareness of the 
professional teams (designers, procurement committees, and site planning engineers) in the 
dilemma of construction material waste. 
 72 
 
8.3 FUTURE STUDIES 
Construction waste management is a fertile subject that has a high potential for further 
research such as: 
1. Investigation of alternative waste disposal methods. 
2. Design of a waste management plan suitable for the execution environment in Iraqi 
construction sites. 
3. Develop a waste disposal data system because of the acute demerit in the construction waste 
data base at local scale. 
4. Develop a software package for fully managing construction waste. 
REFERENCES 
[1] Shen, L. Y., Vivian, W. Y. T., Tam, C. M. and Drew, D., Mapping Approach for Examining 
Waste Management on Construction Sites, Journal of Construction Engineering and 
Demolition (2004), pp. (472-481). 
[2] Formoso, C. T., Isatto, E. L., and Hirota, E. H., Method for Waste Control in the Building 
Industry, Journal of University of California, Berkeley (1999), pp. (325-334). 
[3] Teo, M. M., Loosemore, M.,A theory of waste behaviour in the construction industry. 
Journal of Construction Management and Economics (2001), Vol. (19), Issue (7), 
pp. (741–751). 
[4] Ortiza, O., Pasqualinoa, J.C., and Castellsa, F., Environmental performance of construction 
waste: Comparing three scenarios from a case study in Catalonia, Spain, Journal of Waste 
Management (2010), Vol. (30), Issue (4), pp. (646–654). 
[5] Formoso, C. T., M.ASCE, L. S., Cesare, C. D. and Isatto, E. L., Material Waste in Building 
Industry: Main Causes and Prevention, Journal of Construction Engineering and 
Management (2002), pp. (316-325). 
[6] Poon, C.S., Yu, A.T.W., and Ng, L.H., On-site sorting of construction and demolition waste 
in Hong Kong, Journal of Resource Conserve Recycling (2001), Vol. (32), Issue (2), 
pp. (157–172). 
[7] Beguma, R. A., Siwar, C., Pereira, J. J., and Jaafar, A., A benefit–cost analysis on the 
economic feasibility of construction waste minimisation: The case of Malaysia, Journal of 
Conservation and Recycling (2006), Vol. (48), pp. (86-98).

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Investigation of material waste incurred in the construction projects at karbala province in iraq

  • 1. International INTERNATIONAL Journal of Civil Engineering JOURNAL and OF Technology CIVIL (IJCIET), ENGINEERING ISSN 0976 – 6308 AND (Print), ISSN 0976 – 6316(Online), Volume 5, Issue 10, October (2014), pp. 58-73 © IAEME TECHNOLOGY (IJCIET) ISSN 0976 – 6308 (Print) ISSN 0976 – 6316(Online) Volume 5, Issue 10, October (2014), pp. 58-73 © IAEME: www.iaeme.com/Ijciet.asp Journal Impact Factor (2014): 7.9290 (Calculated by GISI) www.jifactor.com IJCIET ©IAEME INVESTIGATION OF MATERIAL WASTE INCURRED IN 58 THE CONSTRUCTION PROJECTS AT KARBALA PROVINCE IN IRAQ Dr. Zeyad S. M. Khaled 1, Dr. Basil S. Alshathr 2, Ali Hasan Hadi3 1(College of Engineering, Alnahrain University/ Baghdad, Iraq) 2, 3(Building and Construction Engineering Department, University of Technology/ Baghdad, Iraq) ABSTRACT Construction waste is continually increasing due to everlasting need of new building and infrastructure development projects. This has become one of the major environmental problems all over the world. According to the European Union Waste Strategy, construction waste is considered as one of the priority waste streams. This research aims at finding out waste percentages of construction materials at the local construction industry in Karbala. Data of ten major construction materials are extracted from past records of thirty finished projects. In addition, a field study is employed to measure wastes of the same construction materials from six under construction projects. Data analysis is carried out using the Statistical Package for Social Sciences (SPSS). Goodness of fit tests, and t- Tests under (99%) level of confidence are conducted. Results show that waste percentages of construction materials on local scale are fairly high and widely variable across the studied projects, and there is lack of interest in waste minimization by all participants. The majority of this waste can be avoided by implementing some preventive measures during construction, value engineering, sustainability concepts, and constructability review at the pre-construction phases. Keywords: Construction Materials Waste, Materials Waste Management, Waste Recycling, Waste Reuse. 1. INTRODUCTION Construction waste is a major challenge because of its tremendous environmental and economic bad effects. On global scale, construction waste produces an average of (32%) of the total annual waste that is disposed to landfills. It comprises (10-20%) of the total annual construction
  • 2. International Journal of Civil Engineering and Technology (IJCIET), ISSN 0976 – 6308 (Print), ISSN 0976 – 6316(Online), Volume 5, Issue 10, October (2014), pp. 58-73 © IAEME materials used. Since construction materials account for (40-50%) of the total cost of construction projects, thence (4-10%) of the project total cost is wasted [1]. 59 1.1 RESEARCH OBJECTIVE This study aims at finding out waste percentages of ten major construction materials on local scale. Results can be employed as early warning indicators that point out any access in waste percentages at early stages in order to offer a chance to understand causes of waste and employ suitable treatments in time. 1.2 RESEARCH JUSTIFICATION Construction waste in the local construction industry is not paid enough care. The official bodies concerned almost overly ignore it. There is a serious need to understand the impact of construction waste on the environment. In addition to the economic benefits gained through reducing the construction cost. 1.3 RESEARCH HYPOTHESES Construction materials waste at the local construction industry in Karbala exceeds the limits of the Ministry of Housing and Construction. This excess wastage can be eliminated by improving the materials management process. 1.4 RESEARCH METHODOLOGY A wide survey of literature is conducted through the net to explore construction waste types, causes, and treatment. Past records of thirty completed construction projects for each major type of construction materials are studied carefully and analyzed. Observations of the streamline of materials and workflow in six under construction projects are also conducted to check and verify past records. 2. CONSTRUCTION MATERIAL WASTE Construction waste is defined as any losses produced by activities that generate direct or indirect costs but do not add any value to the product from the point of view of the client [2]. It is also defined as the surplus materials that are generated from construction, renovation and demolition activities [3]. According to the U.S. Environmental Protection Agency (USEPA), construction waste materials also include packaging material and rubble material that results from construction, remodeling, repair, and demolition operations. In addition to any improvement materials that may be used in construction sites [4]. 2.1 CAUSES OF CONSTRUCTION WASTE The main causes that lead to generate material wastage in construction projects are found to be [5]: i. Design mistakes. ii. Wrong specifications. iii. Lack of execution information. iv. Bad estimating. v. Bad transportation. vi. Bad storage of materials. vii. Bad handling of materials. viii. Bad workmanship. ix. Lack of supervision. x. Inefficient site management.
  • 3. International Journal of Civil Engineering and Technology (IJCIET), ISSN 0976 – 6308 (Print), ISSN 0976 – 6316(Online), Volume 5, Issue 10, October (2014), pp. 58-73 © IAEME 60 2.2 CLASSIFICATION OF CONSTRUCTION WASTE Construction waste is generally classified according to: • The possibility of controlling the process of material usage where waste is classified into avoidable waste (produced due the execution technique) and unavoidable waste (inherent in the execution of the activity) [6]. • Its nature into direct waste (related to the physical nature of materials) and indirect waste (related to the financial loss and the surplus use of materials). Both types exist in all seven phases of work; delivery, processing, overproduction, substitution, waiting time, movement, and inventories [7]. • Its origin, i.e. the stage that the main root cause is related to. Table (1) summarized the origins of waste and its causes in each origin [8]: Table 1: Construction waste origins and causes Origins Causes of waste Design Complexity, errors, changes, non-clarity, unsuitability … Contract Errors, incomplete contract documents ... Supply Ordering errors, over allowances, supplier errors ... Transport Damage, improper site access, inefficient unloading ... Storage Inappropriate place or location, improper methods … Handling Inadequate, loose form ... Planning Improper organization, information, supervision … Mgmt. Malfunction, poor craftsmanship, wrong materials … Residual Off-cuts, uneconomical shapes, packaging ... Others Weather, vandalism, theft ... 3. SIMILAR PREVIOUS RESEARCHS Material waste in (114) construction sites in the UK have been monitored. It was found that there is a considerable amount of waste that can be avoided by adopting relatively simple prevention procedures. In addition, storage and handling were pointed out as the major causes of construction waste [9].
  • 4. International Journal of Civil Engineering and Technology (IJCIET), ISSN 0976 – 6308 (Print), ISSN 0976 – 6316(Online), Volume 5, Issue 10, October (2014), pp. 58-73 © IAEME In the United State, an empirical study was conducted in which five houses at four separate construction sites were observed. Three processes were analyzed: masonry foundations, timber frames, and concrete members. The main causes of waste were investigated, based on a model that generically describes the flow of solid waste in building sites and on a proposed classification of waste according to its sources. One of the major sources of waste was the residual scrap resulting from cutting materials. Packaging and improper handling were also identified as fairly important causes of waste [10]. A two years study co-ordinated by the Brazilian Institute of Technology and Quality in Construction (ITQC) involving (15) universities and more than one hundred construction sites had been conducted. The wastes of eighteen construction materials were monitored. The study concluded that the waste of construction materials is higher than the percentages that are assumed by the companies in their cost estimates, and the variability between the waste indices from site to site indicates that a considerable portion of this wastage can be avoided [11]. Another study was developed in Hong Kong University. The main objective of this study was to collect data about waste in construction materials. Seventeen construction companies were surveyed to collect the necessary data. The study found that there are different levels of waste for the different types of projects [12]. 61 4. DATA ACQUISITION To determine the average waste percentages of construction materials at the local construction industry in Karbala, past records of thirty construction projects concerning each major type of construction materials are studied carefully and analyzed. Table (2) summarizes the distribution of these finished projects among local principal clients. On the other hand field investigations that include live observations of materials flow and waste generation in six under construction projects are also conducted. Table (3) summarizes the distribution of these under construction projects among local principal clients. Table 2: Finished projects covered by the study Client No. of projects Directorate of Karbala Municipality. 5 Directorate of Karbala Education. 10 General Directorate of Roads and Bridges. 3 Directorate of Karbala Electric. 2 General Secretariat of the Husseiniya Shrine. 9 General Secretariat of the Abasia Shrine. 1 Total 30
  • 5. International Journal of Civil Engineering and Technology (IJCIET), ISSN 0976 – 6308 (Print), ISSN 0976 – 6316(Online), Volume 5, Issue 10, October (2014), pp. 58-73 © IAEME 62 Table 3: Under construction projects covered by the study Client No. of projects Karbala Investment Commission. 1 Directorate of Karbala Education. 2 Karbala Health Department. 1 General Secretariat of the Husseiniya Shrine. 2 Total 6 A preliminary meeting was held with each executive manager to explain the objectives of this study and the procedure to be followed as well as to agree upon the way of coordination with the archive officials of the finished projects to extract data from past records. In a parallel endeavor, the same meetings were held concerning the six under construction projects in order to agree upon the coordination with the construction site staff about field observations. During field observation, periodical meetings are held with the related staff of the six under construction projects including contractors, consultants, resident engineers, site managers, quantity surveyors, and store keepers. The meeting aims at a clearer understanding of the causes and origins of waste and the possible preventive actions. 4.1 PAST RECORDS A retrospective study is conducted to extract data from the materials ordering sheets of thirty finished projects and estimate net quantities from related drawings. Ordering records of construction materials were analyzed in order to determine the actually purchased quantities of materials, while the net required quantities of materials were accurately estimated from design drawings. The required quantity of each material is the quantity needed to execute a definite item according to design (so called estimated). The purchased quantity of material is the quantity actually delivered to execute the same item of work (so called Consumed). Waste percentage is then simply calculated by using equation (1) as follows: W% =
  • 6. ……………… (1) 4.2 FIELD OBSERVATION On the other hand, an observational method is employed to measure the required data in six under construction projects by the aid of a worksheet that is shown in Fig. (1). The stream line movement of materials once it is delivered the work site until being used and built in its final position is intensively tracked and measured. Several factors that usually cause construction materials waste in local construction industry are studied in an attempt to discover their influences. The construction materials streamline flowchart is illustrated in Fig. (2). At the storage phase, many factors can cause more construction materials waste. Inappropriate storing, ineffective control, poor organization, and hasty work are some of them. At
  • 7. International Journal of Civil Engineering and Technology (IJCIET), ISSN 0976 – 6308 (Print), ISSN 0976 – 6316(Online), Volume 5, Issue 10, October (2014), pp. 58-73 © IAEME hauling and placing phases, it is found that the main reason to generate waste is workmanship. Without careful control and rewarding systems, construction workers may become careless in hauling and processing materials. As a result; reusable reinforcement bars, discarded half-bags of cement, discarded brick and timber pieces are often thrown around the sites. The research study indicates that skill, enthusiasm and collectivism are the main factors affecting the amounts of wastes produced by workers. 63 Construction Materials Waste Data acquisition Worksheet General Information Sheet No.: Date: Location: Material: Work Time: (from: to: ) Project: Contractor: Client: Field Measurements Activity: Construction Method: Weather: Temperature: Moisture: Level of execution: Estimated Quantity: According to drawing No.: Actual quantity: According to delivery sheet No.: Calculation Results W% = W% = ( ) % Specific Notes Figure 1: Data acquisition worksheet form
  • 8. International Journal of Civil Engineering and Technology (IJCIET), ISSN 0976 – 6308 (Print), ISSN 0976 – 6316(Online), Volume 5, Issue 10, October (2014), pp. 58-73 © IAEME Ordering Supply Storage Hauling Processing Residual materials Off-site Reusable Non-reusable 64 Pre-construction phase Construction phase Estimating recycling, reclamation, or landfill. Figure 2: Construction materials streamline flowchart 5. STUDY RESULTS Ten major construction materials that are used in the majority of construction activities namely; sand, gravel, cement, steel reinforcement, bricks, thermo-stone, gypsum, terrazzo tiles, marble, and ceramics are considered. Waste percentages are measured in various activities, of different architectural design, at several elevations, for various work gangs. Nevertheless, all of them are carried out at the same storage conditions, with the same way of unloading and handling, and at the same work conditions using the same specifications and equipment available at the local industry. Records of related quantities for thirty finished projects are collected and analyzed. The waste percentages determined in the retrospective study are shown in table (4). Table 4: Waste percentages of materials as for past records Project Sand Gravel Cement Steel Brick Stone Gyps. Tiles Marble Ceram. Almujtaba Library. 11.12 10.18 5.69 5.07 - 12.07 18.07 - - - Second Municipal. 11.32 10.25 5.41 4.59 15.24 - 17.88 - 8.19 8.39 Sixth Municipal. 12.00 10.33 5.58 4.61 15.31 - 18.17 - 8.28 10.62 Gardens Dept. 12.07 10.42 4.84 4.69 15.43 - 18.68 - 7.89 11.54 Alwaeli Hospital. 12.66 10.53 4.76 4.73 - 11.43 17.85 - - - Alsomood school. 11.70 11.03 5.18 4.84 15.67 - 17.94 11.70 - - Alhindia school. 11.80 11.32 5.07 4.81 15.78 - 18.33 11.80 - -
  • 9. International Journal of Civil Engineering and Technology (IJCIET), ISSN 0976 – 6308 (Print), ISSN 0976 – 6316(Online), Volume 5, Issue 10, October (2014), pp. 58-73 © IAEME 65 Almojtaba school. 12.91 11.41 5.03 4.94 15.96 - 17.59 12.91 - - Alshimokh school. 12.98 11.28 5.08 5.13 16.1 - 18.95 12.98 - - Altaka school. 13.33 10.78 5.21 5.27 16.28 - 17.37 13.33 - - Omalhawa school. 11.80 10.62 5.33 5.39 16.38 - 13.91 11.8 - - Alrafidain school. 13.64 10.86 5.41 5.47 16.41 - 19.21 13.64 - - Aldobat school. 14.00 10.91 5.48 5.56 16.5 - 17.20 14.00 - - Alitarat school. 14.12 11.59 5.18 5.64 16.64 - 14.64 14.12 - - Alsalam nursery. 10.00 9.89 5.64 5.81 14.13 - 19.74 10.00 - - Alkawther Mall. 10.64 8.92 5.72 6.03 14.23 13.51 17.68 10.64 - 9.75 Almustafa Mall. 12.07 8.75 5.91 6.21 - 13.79 14.94 12.07 - 6.81 Zain Hospital. 12.04 8.61 6.22 6.46 - 13.97 17.58 - 7.27 - Alkafel Hospital. 12.13 8.83 6.43 6.90 - 17.02 17.47 - 7.38 - Alataba Plantation. 10.63 9.47 4.98 4.54 13.91 - 15.43 - - - Medinat Al-Zairin1. 12.50 9.56 4.83 4.48 13.64 - 20.31 - 6.54 9.88 Medinat Al-Zairin2. 11.24 13.19 4.76 4.31 13.00 - 17.39 - 9.47 12.65 Medinat Al-Zairin3. 14.55 11.73 4.62 4.18 12.74 - 15.77 - 9.67 7.81 Mukhaim Toilets1. 12.66 12.19 4.53 4.01 - - 17.18 - 9.81 8.83 Mukhaim Toilets2. 14.56 12.96 4.48 2.98 12.00 - 16.97 - 10.09 7.25 Aldariba Bridge. 13.00 12.43 4.23 3.29 - - - - - - Towayrige Bridge. 13.30 12.69 4.08 3.48 16.91 - - - - - Algaire Bridge. 13.34 11.73 3.89 3.54 - - - - - - Friha E. Station. 14.45 11.84 3.71 3.72 17.46 - 16.28 13.34 - 13.39 Alkhairat E. Station. 13.66 10.18 3.46 3.96 17.91 - 16.17 13.66 - 10.56
  • 10. International Journal of Civil Engineering and Technology (IJCIET), ISSN 0976 – 6308 (Print), ISSN 0976 – 6316(Online), Volume 5, Issue 10, October (2014), pp. 58-73 © IAEME The observational study targeted the usage process during executing the same activities in both finished and under construction projects. When observed measures are compared with the estimated quantities, it is found that, most of the waste occurs due to estimating errors and storage defects. Improper storage areas cause a noticeable increase in waste because of acts of tamper, impairing, damp, dispersion, and mixture with other materials. The findings also reveal that, waste of steel reinforcement bars is not well considered at the design stage. Results of the field study indicated a lack of interest paid from both designers and contractors to optimize dimensions. It is found that, most of the brick waste occurs due to unloading and workmanship. Table (5) summarizes the waste percentages of the same materials obtained from the field study observations and shows waste representative rates founded by analyzing both past records and observed measures. 66 Table 5: Observed waste percentages Project Sand Gravel Cement Steel Brick Stone Gyps. Tiles Marble Ceram. Durrat Housing. 12.00 10.33 5.38 4.81 14.50 11.62 17.84 10.17 - 9.67 Khatem Hospital. 11.92 10.72 5.03 4.34 15.32 - - - - - Orphans School. 13.01 11.01 5.29 4.64 - - - - - - Turkish Hospital. 12.04 11.44 4.72 5.27 15 - - - 8.93 10.75 Alsalam school. 12.66 10.09 4.90 4.61 15.11 - 17.41 - - 8.81 Almilad school. 11.91 10.23 5.11 5.19 14.66 - 16.71 - - 9.08 Norm rates 12.47 10.76 5.03 4.81 15.23 12.77 17.25 9.45 9.19 10.27 6. DATA ANALYSIS AND VERIFICATION In order to determine a representative waste percentage for each major construction material at the local scale, the past data obtained are tested against statistical measures. Normal distribution curves are fitted to verify the credibility of the determined statistical society of past records for each material using the Statistical Package for Social Sciences (SPSS) as shown in Fig. (3). Then, the distribution of each statistical society of past records is submitted to the Goodness of fit test to verify its characteristic under (99%) level of confidence. The results of goodness of fit test for all materials wastes are summarized in table (6) which reveals that (Ho) is accepted i.e. the statistical society of all materials wastes conform to the normal distribution. Reliability of the method adopted to determine the waste percentages of materials are verified against the data measured from field investigation of six under construction projects then a t- Test for six different iterations of each material at (99%) level of confidence is conducted. The results of hypotheses test of the field measures for all materials wastes are summarized in table (7) which reveals that (Ho) of each test is accepted i.e. the observed waste percentages of all materials have no significant diversion from the hypothetical mean.
  • 11. International Journal of Civil Engineering and Technology (IJCIET), ISSN 0976 – 6308 (Print), ISSN 0976 – 6316(Online), Volume 5, Issue 10, October (2014), pp. 58-73 © IAEME 67 Figure 3: Statistical distributions of past records
  • 12. International Journal of Civil Engineering and Technology (IJCIET), ISSN 0976 – 6308 (Print), ISSN 0976 – 6316(Online), Volume 5, Issue 10, October (2014), pp. 58-73 © IAEME 68 Table 6: Results of goodness of fit test of past records Materials Chi-Square Df * Asymp. Sig.** Sand 17.103 26 0.045 Gravel 13.651 28 0.153 Cement 2.406 26 0.194 Reinforcement Steel Bars 2.087 29 0.081 Bricks 3.12 29 0.09 Thermo-stone 10.71 28 0.163 Gypsum 4.333 29 0.294 Terrazzo Tiles 26.059 28 0.067 Marble 3.933 28 0.509 Ceramics 8.083 29 0.019 *Degree of Freedom. ** Two tailed test. Table 7: Results of hypotheses test of observed data Material Waste % t Df * Sig.** MeanDi f. Conf. Interval *** Lower Upper Sand 12 2.391 29 0.023 0.5206 -0.795 1.1208 11.92 2.759 29 0.01 0.6006 0.0005 1.2008 13.01 -2.202 29 0.036 -0.4793 -1.079 0.1208 12.04 2.208 29 0.035 0.4806 -0.1195 1.0808 12.66 -0.64 29 0.527 -0.1393 -0.7395 0.4608 11.91 2.805 29 0.009 0.6167 0.0105 1.2108 Gravel 10.33 19.74 29 0.058 0.4576 -0.1815 1.0968 10.72 0.292 29 0.773 0.0676 -0.5715 0.7068 11.01 -0.959 29 0.346 -0.2223 -0.8615 0.4168 11.44 -2.813 29 0.009 -0.6523 -1.2915 -0.013 10.09 3.009 29 0.005 0.6976 0.0585 1.3368 10.23 2.405 29 0.023 0.5576 -0.815 1.1968 Cement 5.38 -2.778 29 0.009 -0.3573 -0.7118 -0.003 5.03 -0.057 29 0.955 -0. 007 -0.3618 0.3472 5.29 -2.079 29 0.047 -0.2673 -0.6218 0.0872 4.72 2.353 29 0.026 0.3026 -0.0518 0.6572 4.9 0.954 29 0.348 0.1226 -0.2318 0.4772 5.11 -0.679 29 0.502 -0.0873 -0.4418 0.2672 Reinfor-cement Steel Bars 4.81 0.065 29 0.949 0.0113 -0.4696 0.4923 4.34 2.759 29 0.01 0.4813 0.0004 0.9623 4.64 1.039 29 0. 307 0.1813 -0.2996 0.6623 5.27 0.571 29 0.016 -0.4467 -0.9296 0.0323 4.61 1.211 29 0.236 0.2113 -0.2696 0.6923 5.19 2.113 29 0.043 -0.3687 -0.8496 0.1123 * Degrees of freedom. ** Two tailed test. *** 90% Confidence interval.
  • 13. International Journal of Civil Engineering and Technology (IJCIET), ISSN 0976 – 6308 (Print), ISSN 0976 – 6316(Online), Volume 5, Issue 10, October (2014), pp. 58-73 © IAEME 69 Table 7: Results of hypotheses test of observed data (continued) Material Waste % t Df * Sig.** Mean Dif. Conf. Interval *** Lower Upper Bricks 14.5 2.903 29 0.007 0.801 0.0404 1.5616 15.32 0.069 29 0.946 -0.019 -0.7796 0.7416 14.93 1.345 29 0.189 0.371 -0.3896 1.1316 15 1.091 29 0.284 0.301 -0.4596 1.0616 15.11 0.692 29 0.494 0.191 -0.5696 0.9516 14.66 2.323 29 0.027 0.641 -0.1196 1.4016 Thermo-stone 11.62 2. 937 29 0.006 1.1636 0.0715 2.2559 12.84 0.766 29 0.45 0.3036 -0.7885 1.3959 13.77 -2.489 29 0.019 -0.9863 -2.0785 0.1059 13.59 -2.035 29 0.051 -0.8063 -1.8985 0.2859 12.56 0.564 29 0.577 0.2236 -0.8685 1.3159 12.07 1.801 29 0.082 0.7136 -0.3785 1.8059 Gypsum 17.84 -2.159 29 0.039 -0.5777 -1.3153 0.1599 17.31 -0.178 29 0.86 -0.0477 -0.7853 0.6899 16.96 1.1301 29 0.268 0.3023 -0.4353 1.0399 18.01 -2.794 29 0.009 -0.74767 -1.4853 -0.010 17.41 -0.552 29 0.585 -0.14767 -0.8853 0.5899 16.71 2.064 29 0.048 0.55233 -0.1853 1.2899 Terrazzo Tiles 10.17 -2.545 29 0.016 -0.73733 -1.5358 0.0611 9 1.494 29 0.146 0.43267 -0.3658 1.2311 9.81 -1.303 29 0.203 -0.37733 -1.1758 0.4211 8.63 2.771 29 0.01 0. 80267 0.0042 1.6011 9.38 0.182 29 0.857 0.05267 -0.7458 0.8511 10.31 -3.029 29 0.005 -0.87733 -1.6758 -0.079 Marble 9.52 -1.265 29 0.216 -0.34133 -1.0853 0.4027 10 -3.043 29 0.005 -0.82133 -1.5653 -0.077 8.44 2.737 29 0.01 0.73867 -0.053 1.4827 8.93 0.921 29 0.365 0.24867 -0.4953 0.9927 9.71 -1.968 29 0.059 -0.53133 -1.2753 0.2127 9.07 0.403 29 0.69 0.10867 -0.6353 0.8527 Ceramic 9.67 1.724 29 0.095 0.68733 -0.4114 1.7861 9.38 2.452 29 0.02 0.97733 -0.1214 2.0761 10.17 0.47 29 0.642 0.18733 -0.9114 1.2861 10.75 -0.985 29 0.333 -0.39267 -1.4914 0.7061 9.13 3.079 29 0.005 1.22733 0.1286 2.3261 10.08 0.696 29 0.492 0.27733 -0.8214 1.3761 * Degrees of freedom. ** Two tailed test. *** 90% Confidence interval.
  • 14. International Journal of Civil Engineering and Technology (IJCIET), ISSN 0976 – 6308 (Print), ISSN 0976 – 6316(Online), Volume 5, Issue 10, October (2014), pp. 58-73 © IAEME The test also helped to cross check the compatibility of waste percentages for each material obtained from past records with field observations. This means that, the waste percentages of all materials that are determined from past records do represent the waste percentages at the local construction industry of Karbala to an acceptable degree. It is quite clear that values of the mean, median and mode for each material waste are convergent values. This gives an indication to the consistency of data and its credibility. The travail skewness is acceptable due to specific circumstances of each project. The kurtosis is relatively small indicating that the distributions have a slightly high or low crest. The average of squares deviations is very slightly away from the mean value. All of that indicate that values tend to centralized around the mean values and the mean values can truly represent materials wastes in construction sites at Karbala. 70 7. COMPARISON WITH MOHC LIMITS Table (8) shows the descriptive statistics of all materials wastes obtained by SPSS. The results summarized in table (8) confirm that the waste of materials at the local construction industry in Karbala is relatively higher than the limits set by the Iraqi Ministry of Housing and Construction (MOHC) and that much of this waste is predictable and avoidable which coincides with the research hypothesis. The fact that some relatively simple and inexpensive preventive measures have not been implemented in the local construction industry indicates a lack of knowledge among construction managers and contractors about the performance at their sites. The study of waste origins indicated that a high percentage of construction material waste occurs within materials flow activities such as material supply, storage, hauling and processing. Table 8: Results of major construction materials waste percentages Material Mean Median St. Dev. Variance Range MOHC* Sand 12.477 12.315 1.104 1.219 4.55 10 Gravel 10.76 10.75 1.174 1.378 4.58 9 Cement 5.03 5.05 0.648 0.42 2.97 4 Reinforcement Steel 4.81 4.77 0.88 0.775 3.92 6 Bricks 15.23 15.275 1.387 1.926 5.91 15 Thermo-stone 12.77 12.7 2.01 4.044 8.81 15 Gypsum 17.25 17.4 1.328 1.785 6.4 18 Terrazzo tiles 9.45 9.265 1.466 2.151 6.25 10 Marble 9.19 9.015 1.363 1.859 5.48 7 Ceramics 10.27 9.965 2.008 4.034 8.26 7 * After reference [13].
  • 15. International Journal of Civil Engineering and Technology (IJCIET), ISSN 0976 – 6308 (Print), ISSN 0976 – 6316(Online), Volume 5, Issue 10, October (2014), pp. 58-73 © IAEME 71 8. CONCLUSIONS AND RECOMMENDATIONS Through this work that covers (36) different construction projects executed by different contractors for the benefit of different owners, It is found that construction waste management concepts are absent in the prevailing professional culture at local scale in Karbala. In fact, the occurrence of waste for most materials is usually the result of a combination of factors. Unawareness of waste in pre-construction stages is among the most important causes of waste. This include lack of modular coordination in design, poor integration of building subsystems during the design stage, poor detailing of design, lack of resources optimization during design, imprecise specification of components. In addition to, poor site layout planning, mistakes in materials procurement, delivery, and distribution to the workplaces. 8.1 CONCLUSIONS The main conclusions arrived at by this research is the following: 1. The actual waste percentages of construction materials at the local scale at Karbala are more than the limits set by the Iraqi Ministry of Housing and Construction. 2. Local contracting companies do not seem to be concerned about material waste hence they do not apply a systematic control of material usage. 3. High variation of wastage is found at the same project itself for different construction materials. 4. There is a considerable variance between the waste percentages from site to site for the same material even in similar projects. 5. A serious absence of the appropriate knowledge of construction materials waste management to the extent that most of the contracting companies, do not know what amount of waste they suffer. 6. Most of the generated waste can be avoided by implementing few preventive measures, mostly related to managerial actions. Low percentages of wastage at some sites provide an indication that high percentages are avoidable. 7. A significant ratio of waste is predominantly caused by decisions taken before the execution stage, such as inadequate design, lack of planning, and flaws in the material supply system. 8.2 RECOMMENDATIONS It is recommended to adopt the following in order to pass over the prevailing obsolete practice: 1. The Ministry of Environment is invited to conduct a series of studies to determine the environmental and economic effects of the accumulation of construction waste in Iraq and to set regulation to keep it to a minimum. 2. The Ministry of Construction and Housing is invited to issue a series of instructions to enable construction firms to use feasible approaches in managing the construction waste in a deliberate scientific way.
  • 16. International Journal of Civil Engineering and Technology (IJCIET), ISSN 0976 – 6308 (Print), ISSN 0976 – 6316(Online), Volume 5, Issue 10, October (2014), pp. 58-73 © IAEME 3. The Ministry of planning is invited to develop the contracts condition in order to compel contractors to apply the approaches of construction waste management at the construction phase. 4. The Union of Iraqi contractors is invited to conduct symposiums to raise contractors' awareness using modern appropriate measures to lower down materials waste in the construction sites. 5. The Iraqi Engineers League is invited to hold symposiums to raise the awareness of the professional teams (designers, procurement committees, and site planning engineers) in the dilemma of construction material waste. 72 8.3 FUTURE STUDIES Construction waste management is a fertile subject that has a high potential for further research such as: 1. Investigation of alternative waste disposal methods. 2. Design of a waste management plan suitable for the execution environment in Iraqi construction sites. 3. Develop a waste disposal data system because of the acute demerit in the construction waste data base at local scale. 4. Develop a software package for fully managing construction waste. REFERENCES [1] Shen, L. Y., Vivian, W. Y. T., Tam, C. M. and Drew, D., Mapping Approach for Examining Waste Management on Construction Sites, Journal of Construction Engineering and Demolition (2004), pp. (472-481). [2] Formoso, C. T., Isatto, E. L., and Hirota, E. H., Method for Waste Control in the Building Industry, Journal of University of California, Berkeley (1999), pp. (325-334). [3] Teo, M. M., Loosemore, M.,A theory of waste behaviour in the construction industry. Journal of Construction Management and Economics (2001), Vol. (19), Issue (7), pp. (741–751). [4] Ortiza, O., Pasqualinoa, J.C., and Castellsa, F., Environmental performance of construction waste: Comparing three scenarios from a case study in Catalonia, Spain, Journal of Waste Management (2010), Vol. (30), Issue (4), pp. (646–654). [5] Formoso, C. T., M.ASCE, L. S., Cesare, C. D. and Isatto, E. L., Material Waste in Building Industry: Main Causes and Prevention, Journal of Construction Engineering and Management (2002), pp. (316-325). [6] Poon, C.S., Yu, A.T.W., and Ng, L.H., On-site sorting of construction and demolition waste in Hong Kong, Journal of Resource Conserve Recycling (2001), Vol. (32), Issue (2), pp. (157–172). [7] Beguma, R. A., Siwar, C., Pereira, J. J., and Jaafar, A., A benefit–cost analysis on the economic feasibility of construction waste minimisation: The case of Malaysia, Journal of Conservation and Recycling (2006), Vol. (48), pp. (86-98).
  • 17. International Journal of Civil Engineering and Technology (IJCIET), ISSN 0976 – 6308 (Print), ISSN 0976 – 6316(Online), Volume 5, Issue 10, October (2014), pp. 58-73 © IAEME [8] Poon, C.S., Yu, A.T.W., Jaillon, L., Reducing building waste at construction sites in Hong Kong. Journal of Construction Management and Economics (2004), Vol. 22, Issue (5), pp. (461-470). [9] Greenwood, R., Construction Waste Minimisation – Good Practice Guide, CRiBE (Centre 73 for Research in the Build Environment), Cardiff, United Kingdom (2003). [10] Tam, W.Y.V., Tam, C.M., Tsui, W.S., and Ho, C.M., Environmental indicators for environmental performance assessment in construction, Journal of Building and Construction Management (2006), Vol. (10), Issue (1), pp. (46–56). [11] Kulatunga, U., Amaratunga, D., and Haigh, R., Attitudes and perceptions of construction workforce on construction waste in Srilanka, An International Journal (2006), Vol. (17), Issue (1), pp. (57 – 72). [12] Sassi, P., Designing buildings to close the material resource loop, Journal of Proceedings of the Institution of Civil Engineers – Engineering Sustainability (2004), Vol. (157), Issue (3), pp. (163–171). [13] MOCH, Limits of Waste Percentages, Issued by the Directorate of Planning and Follow-up at the Ministry of Construction and Housing, (2010), Iraq. [14] R.Sathishkumar and Dr.S.P.Jeyapriya, “Comparison of Strength Properties of Bitumen Mixed with Waste Materials as Modifier”, International Journal of Civil Engineering Technology (IJCIET), Volume 4, Issue 4, 2013, pp. 219 - 224, ISSN Print: 0976 – 6308, ISSN Online: 0976 – 6316. [15] Sudheesh Chinnaraj And Jothilingam, “To Utilize Industrial Waste in Production of Concrete and its Leachability Studies”, International Journal of Civil Engineering Technology (IJCIET), Volume 5, Issue 3, 2014, pp. 170 - 177, ISSN Print: 0976 – 6308, ISSN Online: 0976 – 6316. [16] Sunil V. Desale and Dr. Sharad V. Deodhar, “Minimising Waste in Construction by using Lean Six Sigma Principles”, International Journal of Civil Engineering Technology (IJCIET), Volume 4, Issue 5, 2013, pp. 1 - 8, ISSN Print: 0976 – 6308, ISSN Online: 0976 – 6316. [17] Dr. Prahallada.M.C, Dr. Shanthappa B.C and Dr. Prakash. K.B, “Effect of Redmud on the Properties of Waste Plastic Fibre Reinforced Concrete an Experimental Investigation”, International Journal of Civil Engineering Technology (IJCIET), Volume 2, Issue 1, 2011, pp. 25 - 34, ISSN Print: 0976 – 6308, ISSN Online: 0976 – 6316.