Pavement materials in Road Constructionsrinivas2036
Different pavement materials used in the road construction. Importance of soil, aggregate pavement materials. Tests on Soil for pavement construction. Tests on aggregate for pavement construction.
Requirements of soil and aggregates in pavement.
Pavement materials in Road Constructionsrinivas2036
Different pavement materials used in the road construction. Importance of soil, aggregate pavement materials. Tests on Soil for pavement construction. Tests on aggregate for pavement construction.
Requirements of soil and aggregates in pavement.
A highway pavement is a structure consisting of superimposed layers of processed materials above the natural soil sub-grade, whose primary function is to distribute the applied vehicle loads to the sub-grade. The pavement structure should be able to provide a surface of acceptable riding quality, adequate skid resistance, favorable light reflecting characteristics, and low noise pollution. The ultimate aim is to ensure that the transmitted stresses due to wheel load are sufficiently reduced, so that they will not exceed bearing capacity of the sub-grade. Two types of pavements are generally recognized as serving this purpose, namely flexible pavements and rigid pavements.
Get an overview of pavement types, layers, and their functions, and pavement failures as Improper design of pavements leads to early failure of pavements affecting the riding quality.
Pavements form the basic supporting structure in highway transportation. Each layer of pavement has a multitude of functions to perform which has to be duly considered during the design process. Different types of pavements can be adopted depending upon the traffic requirements.
The clear distance ahead of vehicle which is visible to the driver is known as sight distance
The minimum distance within which a driver can safely stop his vehicle without any collision with some vehicle, animal or any other object is known as stopping sight distance.
Highway Engineering for BE Civil Engineering Students
History of Roads in India, IRC, CRRI, Classification of Roads, Three 20 year Road Development Plans, Road patterns, Accident Studies,
This Seminar presentation is made by Shrikrishna Kesharwani
1ST YEAR, Transportation engineering student
NIT WARANGAL
FOLLOW ME ON INSTAGRAM
@SHRIKRISHNAKESHARWANI
A highway pavement is a structure consisting of superimposed layers of processed materials above the natural soil sub-grade, whose primary function is to distribute the applied vehicle loads to the sub-grade. The pavement structure should be able to provide a surface of acceptable riding quality, adequate skid resistance, favorable light reflecting characteristics, and low noise pollution. The ultimate aim is to ensure that the transmitted stresses due to wheel load are sufficiently reduced, so that they will not exceed bearing capacity of the sub-grade. Two types of pavements are generally recognized as serving this purpose, namely flexible pavements and rigid pavements.
Get an overview of pavement types, layers, and their functions, and pavement failures as Improper design of pavements leads to early failure of pavements affecting the riding quality.
Pavements form the basic supporting structure in highway transportation. Each layer of pavement has a multitude of functions to perform which has to be duly considered during the design process. Different types of pavements can be adopted depending upon the traffic requirements.
The clear distance ahead of vehicle which is visible to the driver is known as sight distance
The minimum distance within which a driver can safely stop his vehicle without any collision with some vehicle, animal or any other object is known as stopping sight distance.
Highway Engineering for BE Civil Engineering Students
History of Roads in India, IRC, CRRI, Classification of Roads, Three 20 year Road Development Plans, Road patterns, Accident Studies,
This Seminar presentation is made by Shrikrishna Kesharwani
1ST YEAR, Transportation engineering student
NIT WARANGAL
FOLLOW ME ON INSTAGRAM
@SHRIKRISHNAKESHARWANI
Improvement to Village Road Based on Traffic CharacteristicsIJERA Editor
The Improvement of Rural road network is of vital importance for bringing social aminities, education, and
health within reasonable reach of villagers for transportation of agricultural products produce from villages to near market centers. There are many habitations in the state of Andhra Pradesh , of which only few habitations
are connected by all weather roads. Pavements of roads connecting different villages were initially made up of
moorum or other locally available granular materials. Progressively, water bound macadam (WBM) and thin
bituminous surfacing were added, depending upon the traffic and availability of funding. The village roads were
thus built up stage by stage. No pavement design procedure was adopted for construction of such roads. With increased economic activity, the villages were connected with all-weather roads. And this report will address the improvement of such a village roads and then the development of the district takes place.
Ultra-Thin Whitetopping in India: State-of- Practice IDES Editor
Ultra-Thin Whitetopping (UTW) is a technology to
construct 50-100mm thick cement concrete overlay on
distressed asphalt pavement as a rehabilitation technique.
There have been several UTW projects completed in India,
the first in Pune, subsequently in New Delhi, Ghaziabad,
Mumbai, and Thane. All projects have shown good to excellent
performance so far, indicating that this rehabilitation strategy
can stand up to the Indian climate and traffic conditions. The
suitability of UTW rehabilitation for a particular site is
dependent on several factors including existing asphalt
thickness, volume of truck traffic, base and subgrade support,
and pavement conditions. This paper outlines the state-of-
practice in India for construction of UTW considering mix
traffic, extreme climatic conditions, use of indigenous
materials and design aspects as per Indian Road Congress
(IRC) guidelines.
CFD Simulation of By-pass Flow in a HRSG module by R&R Consult.pptxR&R Consult
CFD analysis is incredibly effective at solving mysteries and improving the performance of complex systems!
Here's a great example: At a large natural gas-fired power plant, where they use waste heat to generate steam and energy, they were puzzled that their boiler wasn't producing as much steam as expected.
R&R and Tetra Engineering Group Inc. were asked to solve the issue with reduced steam production.
An inspection had shown that a significant amount of hot flue gas was bypassing the boiler tubes, where the heat was supposed to be transferred.
R&R Consult conducted a CFD analysis, which revealed that 6.3% of the flue gas was bypassing the boiler tubes without transferring heat. The analysis also showed that the flue gas was instead being directed along the sides of the boiler and between the modules that were supposed to capture the heat. This was the cause of the reduced performance.
Based on our results, Tetra Engineering installed covering plates to reduce the bypass flow. This improved the boiler's performance and increased electricity production.
It is always satisfying when we can help solve complex challenges like this. Do your systems also need a check-up or optimization? Give us a call!
Work done in cooperation with James Malloy and David Moelling from Tetra Engineering.
More examples of our work https://www.r-r-consult.dk/en/cases-en/
Final project report on grocery store management system..pdfKamal Acharya
In today’s fast-changing business environment, it’s extremely important to be able to respond to client needs in the most effective and timely manner. If your customers wish to see your business online and have instant access to your products or services.
Online Grocery Store is an e-commerce website, which retails various grocery products. This project allows viewing various products available enables registered users to purchase desired products instantly using Paytm, UPI payment processor (Instant Pay) and also can place order by using Cash on Delivery (Pay Later) option. This project provides an easy access to Administrators and Managers to view orders placed using Pay Later and Instant Pay options.
In order to develop an e-commerce website, a number of Technologies must be studied and understood. These include multi-tiered architecture, server and client-side scripting techniques, implementation technologies, programming language (such as PHP, HTML, CSS, JavaScript) and MySQL relational databases. This is a project with the objective to develop a basic website where a consumer is provided with a shopping cart website and also to know about the technologies used to develop such a website.
This document will discuss each of the underlying technologies to create and implement an e- commerce website.
Cosmetic shop management system project report.pdfKamal Acharya
Buying new cosmetic products is difficult. It can even be scary for those who have sensitive skin and are prone to skin trouble. The information needed to alleviate this problem is on the back of each product, but it's thought to interpret those ingredient lists unless you have a background in chemistry.
Instead of buying and hoping for the best, we can use data science to help us predict which products may be good fits for us. It includes various function programs to do the above mentioned tasks.
Data file handling has been effectively used in the program.
The automated cosmetic shop management system should deal with the automation of general workflow and administration process of the shop. The main processes of the system focus on customer's request where the system is able to search the most appropriate products and deliver it to the customers. It should help the employees to quickly identify the list of cosmetic product that have reached the minimum quantity and also keep a track of expired date for each cosmetic product. It should help the employees to find the rack number in which the product is placed.It is also Faster and more efficient way.
Immunizing Image Classifiers Against Localized Adversary Attacksgerogepatton
This paper addresses the vulnerability of deep learning models, particularly convolutional neural networks
(CNN)s, to adversarial attacks and presents a proactive training technique designed to counter them. We
introduce a novel volumization algorithm, which transforms 2D images into 3D volumetric representations.
When combined with 3D convolution and deep curriculum learning optimization (CLO), itsignificantly improves
the immunity of models against localized universal attacks by up to 40%. We evaluate our proposed approach
using contemporary CNN architectures and the modified Canadian Institute for Advanced Research (CIFAR-10
and CIFAR-100) and ImageNet Large Scale Visual Recognition Challenge (ILSVRC12) datasets, showcasing
accuracy improvements over previous techniques. The results indicate that the combination of the volumetric
input and curriculum learning holds significant promise for mitigating adversarial attacks without necessitating
adversary training.
Industrial Training at Shahjalal Fertilizer Company Limited (SFCL)MdTanvirMahtab2
This presentation is about the working procedure of Shahjalal Fertilizer Company Limited (SFCL). A Govt. owned Company of Bangladesh Chemical Industries Corporation under Ministry of Industries.
Hybrid optimization of pumped hydro system and solar- Engr. Abdul-Azeez.pdffxintegritypublishin
Advancements in technology unveil a myriad of electrical and electronic breakthroughs geared towards efficiently harnessing limited resources to meet human energy demands. The optimization of hybrid solar PV panels and pumped hydro energy supply systems plays a pivotal role in utilizing natural resources effectively. This initiative not only benefits humanity but also fosters environmental sustainability. The study investigated the design optimization of these hybrid systems, focusing on understanding solar radiation patterns, identifying geographical influences on solar radiation, formulating a mathematical model for system optimization, and determining the optimal configuration of PV panels and pumped hydro storage. Through a comparative analysis approach and eight weeks of data collection, the study addressed key research questions related to solar radiation patterns and optimal system design. The findings highlighted regions with heightened solar radiation levels, showcasing substantial potential for power generation and emphasizing the system's efficiency. Optimizing system design significantly boosted power generation, promoted renewable energy utilization, and enhanced energy storage capacity. The study underscored the benefits of optimizing hybrid solar PV panels and pumped hydro energy supply systems for sustainable energy usage. Optimizing the design of solar PV panels and pumped hydro energy supply systems as examined across diverse climatic conditions in a developing country, not only enhances power generation but also improves the integration of renewable energy sources and boosts energy storage capacities, particularly beneficial for less economically prosperous regions. Additionally, the study provides valuable insights for advancing energy research in economically viable areas. Recommendations included conducting site-specific assessments, utilizing advanced modeling tools, implementing regular maintenance protocols, and enhancing communication among system components.
Hybrid optimization of pumped hydro system and solar- Engr. Abdul-Azeez.pdf
Pavement Design Report by priyanshu kumar 9608684800
1. PAVEMENT DESIGN REPORT
Construction of Road Approaches to Rail-Cum-Road Bridge Across River Ganga At Munger Ghat Near
Munger, in the State Of Bihar On EPC Mode
ii
CONTENTS
1. Pavement Design report 1
1.1 General 1
1.2 Design Approach and Methodology 1
1.2.1 Type of Pavement 1
1.2.2 Design Standards 1
1.3 Input Parameters for Pavement Design 1
1.3.1 Design Period and Strategy 1
1.3.2 Design Traffic 1
1.4 Soil Characteristics for OGL Samples 2
1.5 Borrow Area Soil Characteristics for Embankment and Subgrade 3
1.6 Design of New Flexible Pavement 3
1.6.1 Design of Conventional Flexible Pavement for Main Carriageway 4
1.6.2 Design of Conventional Flexible Pavement for Service Road 10
LIST OF TABLES
Table 1-1: Design Traffic in Terms of ESAL 2
Table 1-2: Summary of OGL Sample 2
Table 1-3: Input Parameters for IITPAVE of Conventional Pavement 4
Table 1-4: Calculated Conventional Flexible Pavement Thickness for New Construction: 7
Table 1-5: Recommended Pavement Composition for Service Roads 10
LIST OF FIGURES
Figure 1-1: IITPAVE INPUT File 5
Figure 1-2: IITPAVE OUTPUT File 6
LIST OF ANNEXURES
Annexure 1.1: Detailed Result of test conducted on OGL of soil sample 8
Annexure 1.2: Detailed laboratory test result of borrow area soil sample with
90th
percentile CBR calculation
9
2. PAVEMENT DESIGN REPORT
Construction of Road Approaches to Rail-Cum-Road Bridge Across River Ganga at Munger Ghat Near
Munger, in the State of Bihar On EPC Mode
1/10
1. PAVEMENT DESIGN REPORT
1.1 General
Pavement design basically aims at determining the total thickness of the pavement structure
as well as the thickness of the individual structural components. The approach of the consultant
is to work out the required crust thickness by IRC methods.
1.2 Design Approach and Methodology
1.2.1 Type of Pavement
For Main Carriageway Flexible Pavement shall be executed as per IRC-37: 2012.
1.2.2 Design Standards
The following standards are applicable for new pavement of the project:
New Flexible Pavement Design
IRC: 37-2012 – “Guidelines for the Design of Flexible Pavements”
1.3 Input Parameters for Pavement Design
The performance of pavements is affected by several factors which includes the following
factors which are described as below.
1.3.1 Design Period and Strategy
As per clause 5.1.1 of Schedule-B “Flexible pavement for new pavements road. Shall be
designed for a minimum design period of 15 (Fifteen) years. Stage construction shall not be
permitted.”
1.3.2 Design Traffic
Design Traffic (Cumulative Number of Standard Axles):
The traffic loading in terms of the cumulative number of standard axles for the given period
has been computed using the following relationship as given in IRC: 37-2012:
3 6 5 1 1
n
r
N A D F
r
Where,
N = Cumulative number of standard axles to be catered for the design life
in terms of msa.
r = Annual growth rate of commercial vehicles
n = Design life in years
A = Initial traffic in the year of completion of construction in terms of
number of commercial vehicles per day exceeding 3 tonnes
D = Lane distribution factor
F = Vehicle Damage Factor
3. PAVEMENT DESIGN REPORT
Construction of Road Approaches to Rail-Cum-Road Bridge Across River Ganga at Munger Ghat Near
Munger, in the State of Bihar On EPC Mode
2/10
As per schedule Clause 5.1.2 pavement shall be designed for a minimum design traffic of 30
Million Standard Axles.
Table 1-1: Design Traffic in Terms of ESAL
Sections
Design Traffic (MSA)
Minimum Design Traffic
as per Schedule-B
Recommended
Design Traffic
Munger Km 00+000 to Km 9+394 30 30
Khagaria Km 0+075 to Km 5+198 30 30
1.4 Soil Characteristics for OGL Samples
Investigation has been carried out on the test pit samples taken at the following different
locations
OGL at the toe of embankment.
Representative soil sample were collected on 1st
August 2019 and samples were tested from
2nd
August 2019 to 11th
August 2019.
The following test have been carried out on each of the samples collected from test pits.
a) Atterberg’s Limits – IS:2720 (Part V);
b) Modified Proctor Density – IS: 2720 (Part VIII);
c) Field Moisture Content – IS:2720 (Part II);
d) Four Days Soaked CBR – IS: 2720 (Part XVI);
e) Free Swell Index Test – IS: 2720 (Part XI);
f) Grain Size Analysis – IS: 2720 (Part IV);
g) Soil Classification – IS: 1498.
Test Pits at Toe of Embankment (OGL soil)
To assess the existing OGL properties, test pits were dug at frequent intervals. Representative
samples of OGL were collected from each test pit for laboratory analysis. The results of the test
conducted on existing subgrade soil samples have been summarized in Table 1-2.
Table 1-2: Summary of OGL Sample
Soil Property Average Min Max
Liquid Limit (%) - - 40.80
Plastic Limit (%) - - 25.30
Plasticity Index (%) - N.P. 15.50
MDD (gm/cc) 1.93 1.84 2.05
OMC (%) 12.77 11.00 15.30
Soaked CBR (%) 6.18 4.40 9.40
Free Swell Index (%) - NIL 18.20
4. PAVEMENT DESIGN REPORT
Construction of Road Approaches to Rail-Cum-Road Bridge Across River Ganga at Munger Ghat Near
Munger, in the State of Bihar On EPC Mode
3/10
Detailed results of tests conducted on existing subgrade soil sample are presented in
Annexure 1.
1.5 Borrow Area Soil Characteristics for Embankment and Subgrade
Potential borrow area locations have been identified along the project road for construction of
subgrade and embankment and representative samples of identified sources have been
collected for laboratory testing.
The detailed laboratory investigation has been carried out on borrow area soil samples as per
relevant codes & specifications.
Following test have been carried out on each of the borrow area soil sample collected;
a) Atterberg’s Limits (Liquid Limit and Plastic Limit) – IS:2720 (Part V);
b) Modified Proctor Density – IS: 2720 (Part VIII);
c) Four Days Soaked CBR – IS: 2720 (Part XVI);
d) Free Swell Index Test – IS: 2720 (Part XI);
e) Grain Size Analysis – IS: 2720 (Part IV);
From the borrow area test results, it has been observed that the borrow area soil is non-
plasticity Silty Sand. Laboratory testing indicates that CBR is in the range of 10.29 per cent to
12.94 per cent. Based on the borrow area investigation, it is proposed to use soil only from
sources having CBR value of minimum 8 per cent for subgrade construction. Detailed laboratory
test result of borrow area samples are given in Annexure 2.
Subgrade –
Borrow area Soil shall be used to prepare subgrade and embankment soil.
Out of the prospective borrow area samples, 90th
percentile CBR has been considered as the
representative CBR value for borrow area soil, here 90 percentile refers to the CBR value, which
is lower than 90% values obtained from results.
The detailed calculation for 90th
percentile CBR value for borrow area soil has been provided
below in Annexure 2.
Design CBR Determination for New Construction Stretch:
90th
percentile CBR values of Borrow material was found to be 10.35 % which is higher than
minimum CBR value required i.e. 8 % as per Clause 5.1 of IRC 37-2012, hence borrow areas
are suitable for subgrade and embankment preparation.
For the purpose of flexible pavement design, Effective Subgrade CBR of 8 per cent is considered
for safe and conservation approach.
1.6 Design of New Flexible Pavement
Design of new flexible pavement is applicable for main carriageway sections.
5. PAVEMENT DESIGN REPORT
Construction of Road Approaches to Rail-Cum-Road Bridge Across River Ganga at Munger Ghat Near
Munger, in the State of Bihar On EPC Mode
4/10
1.6.1 Design of Conventional Flexible Pavement for Main Carriageway
Specifications and Input parameters as per IRC: 37-2012
In order to provide scientific design thickness ‘Mechanistic–Empirical pavement design’
procedure is followed as directed in IRC: 37-2012. The input parameters used in the design
are given in Table 1-3.
Table 1-3: Input Parameters for IITPAVE of Conventional Pavement
Sl. No. Description Value considered
1 Wheel Configuration Dual Wheel
2
Spacing Between the wheels
(mm)
310
3 Load of Single Wheel (N) 20000
4 Tire Pressure (MPa) 0.56
5
Bituminous Layer E-Value (MPa)
(DBM and BC layer together)
1700MPa – VG-30
6
Unbound Layers E-Value (MPa)
(GSB and WMM together)
MR_granular = 0.2*h0.45
MR subgrade
= 0.2*4500.45
(66.60)
MR_granular = 208.19
(Eq. 7.3 of IRC:37-2012)
7 Subgrade Layer E-value (MPa)
MR = 17.6*(CBR)0.64
= 17.6*(8)0.64
MR = 66.60
(Eq. 5.2 IRC:37-2012)
8 Poisson’s Ratio
Bituminous Layers: 0.35
WMM/GSB: 0.35
Sub-grade: 0.35
The flexible pavements are designed for two failure models as described in IRC: 37-2012.
i) Fatigue Model:
Fatigue Model has been calibrated in the R-56 (54) studies using the pavement performance
data collected during the R-6 (57) and R-19 (58) studies sponsored by MoRTH;
Nf = 2.21 × 10-04
× [
£
]3.89
× [ ]0.854
…………… Eq 6.1 of IRC:37-2012
Nf = 0.5161 × C × 10-04
× [
£
]3.89
× [ ]0.854
…………… Eq 6.3 of IRC:37-2012
Where,
Nf = Fatigue life in number of standard axles,
£t = Maximum Horizontal Tensile strain at the bottom of the bituminous layer
Mr = Resilient modulus of the bituminous layer.
For design traffic of 30 million standard axel; Eq. 6.1 of IRC: 37-2012 (80 per cent reliability)
and resilient modulus of VG-30 grade bitumen at 35°C is 1700 MPa is used for fatigue analysis:
30×106
= 2.21 × 10-04
× [
£
]3.89
× [ ]0.854
£t = 268.4 × 10-6
(Allowable/Maximum Horizontal Tensile Strain)
6. PAVEMENT DESIGN REPORT
Construction of Road Approaches to Rail-Cum-Road Bridge Across River Ganga at Munger Ghat Near
Munger, in the State of Bihar On EPC Mode
5/10
ii) Rutting Model:
The rutting life of the pavement composition is calculated by using the following equation with
the obtained vertical compressive strains at on top of subgrade through IITPAVE.
Nr = 4.1656 x 10-08 × [
£
]4.5337
……… (Eq. 6.4 of IRC:37-2012)
Nr = 1.41 x 10-08 × [
£
]4.5337
……… (Eq. 6.5 of IRC:37-2012)
Where,
Nr = Number of cumulative standard axles, and
£v = Maximum Compressive Vertical strain in the subgrade
For design traffic of 30 million standard axel; Eq. 6.4 of IRC: 37-2012 (80 per cent reliability)
is used for rutting analysis:
30×106
= 4.1656 x 10-08 × [
£
]4.5337
£v = 528.3 10-6
(Allowable Vertical Compressive Strain)
After Allowable strains are obtained, proposed Pavement thickness is evaluated on IIT PAVE
software using input parameters specified in Table 1-3 and critical strains are obtained. Details
are presented Figure 1-1 & Figure 1-2:
Figure 1-1: IITPAVE INPUT File
7. PAVEMENT DESIGN REPORT
Construction of Road Approaches to Rail-Cum-Road Bridge Across River Ganga at Munger Ghat Near
Munger, in the State of Bihar On EPC Mode
6/10
Figure 1-2: IITPAVE OUTPUT File
8. PAVEMENT DESIGN REPORT
Construction of Road Approaches to Rail-Cum-Road Bridge Across River Ganga at Munger Ghat Near Munger, in the State of Bihar On EPC Mode
Table 1-4: Calculated Conventional Flexible Pavement Thickness for New Construction:
Carriageway
Design
Traffic
(msa)
Allowable Strain
Effective
Subgrade
CBR
(%)
Calculated Pavement
Composition(mm)
Elastic
Modulus
(MPa)
of
DBM
Layers
Obtained Strains
Remarks
Horizontal
Tensile
Strain
(Fatigue)
Vertical
Compressive
Strain
(Rutting)
BC DBM WMM GSB
Horizontal
Tensile
Strain
(Fatigue)
Vertical
Compressive
Strain
(Rutting)
New construction of Main
carriageway from Km
00.000 to Km 9.394 &
Km 0.075 to Km 5.198
30 268.48 x10-6
528.30 x10-6
8.0 40 100 250 200 1700 255 x10-6
359 x10-6
Safe
However, Minimum Pavement thickness that contractor shall provide is specified in schedule B clause 5.2. Therefore, Recommended Pavement thickness
for the project corridor is:
BC 40 mm
DBM 105 mm
WMM 250 mm
GSB 260 mm
11. PAVEMENT DESIGN REPORT
Construction of Road Approaches to Rail-Cum-Road Bridge Across River Ganga at Munger Ghat Near
Munger, in the State of Bihar On EPC Mode
10/10
CBR values for a borrow area samples obtained are as follows:
11.43, 12.6, 10.44, 10.97, 10.29, 10.36, 11.73, 12.94, 11.14, 12.26.
Arranging the above values in ascending order
10.29, 10.36, 10.44, 10.97, 11.14, 11.43, 11.73, 12.26, 12.6, 12.94
Calculating percentage greater than equal to each of the values are as follows:
For CBR of 10.29, percentage of values greater than equal to 10.29 = (14/14) *100 = 100
For CBR of 10.36, percentage of values greater than equal to 10.36 = (13/14) *100 = 92.8
and so on.
Plot between percentage of values greater than equal and the CBR values versus the CBR as
follows.
The 90th
percentile CBR value = 10.353, and 80th
percentile CBR value = 10.425
1.6.2 Design of Conventional Flexible Pavement for Service Road
Service Roads are designed for design traffic of 10 msa as per clause 5.5.8 of IRC: SP:73-2015
and the pavement thickness are determined from catalogues of IRC: 37-2012 and the same is
given in Table 1-5 below: -
Table 1-5: Recommended Pavement Composition for Service Roads
Design Traffic
(msa)
Subgrade
CBR (%)
Recommended Pavement
Composition(mm)
BC DBM WMM GSB
10 8.0 40 60 250 200
0
20
40
60
80
100
120
0 2 4 6 8 10 12 14
%
Equal
to
greater
than
Subgrade CBR
Evaluation of Subgrade CBR for Pavement
Design