PREDICTION OF COMPRESSIVE STRENGTH OF CONCRETE FROM EARLY AGE TEST RESULT
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4th Annual Paper Meet and 1st Civil Engineering Congress 22-24 December 2011, Dhaka, Bangladesh (Presentation slides)
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Prediction of compressive strength of concrete with a
This is the slide of my research paper which has presented in an international conference organised by - Dhaka University Statistics Department Alumni Association (DUSDAA), 27-29 December, 2015
MACHINE LEARNING PREDICTION OF THE COMPRESSIVE STRENGTH OF SILICEOUS FLY ASH ...
Compressive strength (CS) is one of the most important mechanical qualities of cementitious composites in the building sector. The data from the experimental work were collected, and machine learning techniques were used to predict the compressive strength of concrete containing fly ash. Statistical models, such as linear and nonlinear regression widely used require laborious experimental work to develop, and can provide inaccurate results when the relationships between concrete properties and mixture composition and curing conditions are complex. This study focusses on the use of supervised machine learning algorithms to predict concrete compressive strength. For outcome prediction, the Random Forest (RF), support vector machine (SVM), and Artificial neural network (ANN), techniques were examined. The experimental variables from the literature included cement, fly ash, superplasticizer, coarse aggregate, fine aggregate, water, and days, which were taken as input to predict the output which was CS parameter. The study provides a critically review and comparison of different machine learning techniques used for forecasting the mechanical properties of concrete materials. Each machine learning model's applicability and performance are assessed, resulting in practical recommendations, knowledge gaps, and recommended future research.
Artificial neural network for concrete mix design
This document describes a study using artificial neural networks (ANN) to predict concrete mix designs and compressive strengths. The study aims to construct ANN models to predict mix proportions for a target strength and to predict strength for given mix proportions. Data on 79 concrete mixes are used to train and test the ANN models. The results show the ANN can predict mix ratios with 99% accuracy and strengths with 98% accuracy, demonstrating ANN is an effective tool for concrete mix design that outperforms traditional methods. Parametric studies examine the effects of water-cement ratio, fines content, and mix ratios on strength. The document concludes ANN is a powerful tool that can be used in concrete mix design practice.
INSITU TESTING Foundation Engineering Lecture Notes
INSITU TESTING Foundation Engineering Lecture Notes
Foundation Design - Insitu Testing
Lecturer's: Dr. Zina Dawood
Erbil Polytechnic University
Civil Engineering Department
#Foundation
Common Insitu Tests
•Standard Penetration Test
•Cone Penetration Test
•Pressuremeter Test
•Dilatometer Test
•Vane Shear test
•Plate Load Test
Introduction
•Insitu tests are carried out to aid determination of design parameters for foundation design which provide mostly indirect measurements of the design parameters.
•Published correlations are used to transform the indirect measurements to design parameters.
•A statistical approach is also required to study both spatial distribution of a measured parameter on site as well as its variability with depth / ground strata.
•It is essential that the limitations of the insitu tests and the conditions and ground type they can test is considered so as to avoid misinterpretation of the data obtained.
Standard Penetration Test (SPT)
•One of the most basic forms of testing yet quite powerful in terms of its applicability for a wide range of soils.
• It can be applied in exploratory holes and repeated at any depth required, mostly once per metre or 1.5m depth tending to be less frequent if within same geological unit.
•Applicable for most soils such as; gravels, sands, silts and clays or mixed soils.
•The test method involves dropping a hammer of approximately 63.5kg onto a set of steel rods sunk into the exploratory hole from a standard drop height of 762mm.
•The first set of number of blows required for 150mm penetration of the tip of the test assembly is disregarded as the ‘seating blows’.
•The test is continued with measurement of two further sets of 150mm penetrations for which the number of blows are also measured. The total number of blows from these two latter sets of penetration (300mm) is called the SPT value (or simply N).
Cone Penetration Test (CPT)
•Two types of cones;
–Mechanical cone.
–Electric cone.
•This test is carried out on its own from ground surface by penetrating the cone with a telescopic set of rods using a trucked or crawler mounted machine.
•The rate of penetration of the cone is constant and typically 20mm per second. This can also be reduced to a value of 10mm per second.
•Nowadays Electric Cone is the industry standard
•With the Electric Cone two important measurements are carried out;
–Cone tip resistance, qc,
–Cone sleeve friction, fc or fs.
•The friction ratio is calculated as;
•Fr is commonly used to help classification of the ground using correlations.
•This test is especially useful for obtaining lateral earth pressure coefficient and shear modulus of soils.
•The test can be carried out in an exploratory hole as well as using a self-boring PMT rig.
#Foundation
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This document discusses the flexibility method for structural analysis. The flexibility method involves determining flexibility coefficients by applying unit loads corresponding to redundant forces and calculating the resulting displacements. These flexibility coefficients are then used to calculate the redundant forces needed to satisfy compatibility conditions. The flexibility matrices for different structural elements are developed. Joint displacements, member end actions, and support reactions can be determined by incorporating the flexibility coefficients into the basic computations. Examples are provided to illustrate the flexibility method for a continuous beam with one redundant and for determining various outputs like redundants, joint displacements, and reactions.
Basic concepts on structural dynamics
1) Dynamics is the study of how structures respond to dynamic or time-varying loads. Static loads do not change over time, while dynamic loads vary with time and can cause displacement, velocity, and acceleration responses in structures.
2) The key differences between static and dynamic loading are that dynamic loading produces inertia forces that cause accelerations, while static loading only produces displacements. These inertia forces contribute significantly to the internal elastic forces that a structure experiences under dynamic loading.
3) Common causes of dynamic effects in structures include initial conditions giving the structure an initial velocity, applied time-varying forces like wind or earthquakes, and support motions like ground shaking during an earthquake.
Soil structure interaction
- Soil-structure interaction (SSI) describes how the response of soil influences the motion of a structure, and vice versa, rather than having independent displacements.
- The three critical aspects of SSI are: 1) Inertia effects on base shear and moment, 2) How base shear relates to foundation/soil displacement, 3) How moment relates to foundation/soil rotation.
- The degree of SSI influence depends on soil stiffness, structure properties like period and damping, and structure stiffness and mass. SSI is more important for flexible structures on soft soil.
Recommended
Prediction of compressive strength of concrete with a
This is the slide of my research paper which has presented in an international conference organised by - Dhaka University Statistics Department Alumni Association (DUSDAA), 27-29 December, 2015
MACHINE LEARNING PREDICTION OF THE COMPRESSIVE STRENGTH OF SILICEOUS FLY ASH ...
Compressive strength (CS) is one of the most important mechanical qualities of cementitious composites in the building sector. The data from the experimental work were collected, and machine learning techniques were used to predict the compressive strength of concrete containing fly ash. Statistical models, such as linear and nonlinear regression widely used require laborious experimental work to develop, and can provide inaccurate results when the relationships between concrete properties and mixture composition and curing conditions are complex. This study focusses on the use of supervised machine learning algorithms to predict concrete compressive strength. For outcome prediction, the Random Forest (RF), support vector machine (SVM), and Artificial neural network (ANN), techniques were examined. The experimental variables from the literature included cement, fly ash, superplasticizer, coarse aggregate, fine aggregate, water, and days, which were taken as input to predict the output which was CS parameter. The study provides a critically review and comparison of different machine learning techniques used for forecasting the mechanical properties of concrete materials. Each machine learning model's applicability and performance are assessed, resulting in practical recommendations, knowledge gaps, and recommended future research.
Artificial neural network for concrete mix design
This document describes a study using artificial neural networks (ANN) to predict concrete mix designs and compressive strengths. The study aims to construct ANN models to predict mix proportions for a target strength and to predict strength for given mix proportions. Data on 79 concrete mixes are used to train and test the ANN models. The results show the ANN can predict mix ratios with 99% accuracy and strengths with 98% accuracy, demonstrating ANN is an effective tool for concrete mix design that outperforms traditional methods. Parametric studies examine the effects of water-cement ratio, fines content, and mix ratios on strength. The document concludes ANN is a powerful tool that can be used in concrete mix design practice.
INSITU TESTING Foundation Engineering Lecture Notes
INSITU TESTING Foundation Engineering Lecture Notes
Foundation Design - Insitu Testing
Lecturer's: Dr. Zina Dawood
Erbil Polytechnic University
Civil Engineering Department
#Foundation
Common Insitu Tests
•Standard Penetration Test
•Cone Penetration Test
•Pressuremeter Test
•Dilatometer Test
•Vane Shear test
•Plate Load Test
Introduction
•Insitu tests are carried out to aid determination of design parameters for foundation design which provide mostly indirect measurements of the design parameters.
•Published correlations are used to transform the indirect measurements to design parameters.
•A statistical approach is also required to study both spatial distribution of a measured parameter on site as well as its variability with depth / ground strata.
•It is essential that the limitations of the insitu tests and the conditions and ground type they can test is considered so as to avoid misinterpretation of the data obtained.
Standard Penetration Test (SPT)
•One of the most basic forms of testing yet quite powerful in terms of its applicability for a wide range of soils.
• It can be applied in exploratory holes and repeated at any depth required, mostly once per metre or 1.5m depth tending to be less frequent if within same geological unit.
•Applicable for most soils such as; gravels, sands, silts and clays or mixed soils.
•The test method involves dropping a hammer of approximately 63.5kg onto a set of steel rods sunk into the exploratory hole from a standard drop height of 762mm.
•The first set of number of blows required for 150mm penetration of the tip of the test assembly is disregarded as the ‘seating blows’.
•The test is continued with measurement of two further sets of 150mm penetrations for which the number of blows are also measured. The total number of blows from these two latter sets of penetration (300mm) is called the SPT value (or simply N).
Cone Penetration Test (CPT)
•Two types of cones;
–Mechanical cone.
–Electric cone.
•This test is carried out on its own from ground surface by penetrating the cone with a telescopic set of rods using a trucked or crawler mounted machine.
•The rate of penetration of the cone is constant and typically 20mm per second. This can also be reduced to a value of 10mm per second.
•Nowadays Electric Cone is the industry standard
•With the Electric Cone two important measurements are carried out;
–Cone tip resistance, qc,
–Cone sleeve friction, fc or fs.
•The friction ratio is calculated as;
•Fr is commonly used to help classification of the ground using correlations.
•This test is especially useful for obtaining lateral earth pressure coefficient and shear modulus of soils.
•The test can be carried out in an exploratory hole as well as using a self-boring PMT rig.
#Foundation
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Module1 flexibility-1- rajesh sir
This document discusses the flexibility method for structural analysis. The flexibility method involves determining flexibility coefficients by applying unit loads corresponding to redundant forces and calculating the resulting displacements. These flexibility coefficients are then used to calculate the redundant forces needed to satisfy compatibility conditions. The flexibility matrices for different structural elements are developed. Joint displacements, member end actions, and support reactions can be determined by incorporating the flexibility coefficients into the basic computations. Examples are provided to illustrate the flexibility method for a continuous beam with one redundant and for determining various outputs like redundants, joint displacements, and reactions.
Basic concepts on structural dynamics
1) Dynamics is the study of how structures respond to dynamic or time-varying loads. Static loads do not change over time, while dynamic loads vary with time and can cause displacement, velocity, and acceleration responses in structures.
2) The key differences between static and dynamic loading are that dynamic loading produces inertia forces that cause accelerations, while static loading only produces displacements. These inertia forces contribute significantly to the internal elastic forces that a structure experiences under dynamic loading.
3) Common causes of dynamic effects in structures include initial conditions giving the structure an initial velocity, applied time-varying forces like wind or earthquakes, and support motions like ground shaking during an earthquake.
Soil structure interaction
- Soil-structure interaction (SSI) describes how the response of soil influences the motion of a structure, and vice versa, rather than having independent displacements.
- The three critical aspects of SSI are: 1) Inertia effects on base shear and moment, 2) How base shear relates to foundation/soil displacement, 3) How moment relates to foundation/soil rotation.
- The degree of SSI influence depends on soil stiffness, structure properties like period and damping, and structure stiffness and mass. SSI is more important for flexible structures on soft soil.
Response Spectrum
This document discusses response spectra and design spectra. It begins by explaining how response spectra are developed by analyzing the response of single-degree-of-freedom systems to ground motion records and plotting the maximum response versus natural period. Design spectra are then developed as smooth versions of response spectra to account for uncertainties in natural period. The key differences between response and design spectra are also summarized.
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- Effects of soil conditions like basin effects that can amplify seismic ground motions. Soft soils in large basins like Mexico City significantly amplified motions from a distant earthquake, contributing to extensive damage.
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如果您处于以下几种情况：
◇在校期间，因各种原因未能顺利毕业……拿不到官方毕业证【q/微741003700】
◇面对父母的压力，希望尽快拿到；
◇不清楚认证流程以及材料该如何准备；
◇回国时间很长，忘记办理；
◇回国马上就要找工作，办给用人单位看；
◇企事业单位必须要求办理的
◇需要报考公务员、购买免税车、落转户口
◇申请留学生创业基金
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
办理(osu毕业证书)美国俄勒冈州立大学毕业证【微信：741003700 】外观非常简单，由纸质材料制成，上面印有校徽、校名、毕业生姓名、专业等信息。
办理(osu毕业证书)美国俄勒冈州立大学毕业证【微信：741003700 】格式相对统一，各专业都有相应的模板。通常包括以下部分：
校徽：象征着学校的荣誉和传承。
校名:学校英文全称
授予学位：本部分将注明获得的具体学位名称。
毕业生姓名：这是最重要的信息之一，标志着该证书是由特定人员获得的。
颁发日期：这是毕业正式生效的时间，也代表着毕业生学业的结束。
其他信息：根据不同的专业和学位，可能会有一些特定的信息或章节。
办理(osu毕业证书)美国俄勒冈州立大学毕业证【微信：741003700 】价值很高，需要妥善保管。一般来说，应放置在安全、干燥、防潮的地方，避免长时间暴露在阳光下。如需使用，最好使用复印件而不是原件，以免丢失。
综上所述，办理(osu毕业证书)美国俄勒冈州立大学毕业证【微信：741003700 】是证明身份和学历的高价值文件。外观简单庄重，格式统一，包括重要的个人信息和发布日期。对持有人来说，妥善保管是非常重要的。
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Energy efficiency has been important since the latter part of the last century. The main object of this survey is to determine the energy efficiency knowledge among consumers. Two separate districts in Bangladesh are selected to conduct the survey on households and showrooms about the energy and seller also. The survey uses the data to find some regression equations from which it is easy to predict energy efficiency knowledge. The data is analyzed and calculated based on five important criteria. The initial target was to find some factors that help predict a person's energy efficiency knowledge. From the survey, it is found that the energy efficiency awareness among the people of our country is very low. Relationships between household energy use behaviors are estimated using a unique dataset of about 40 households and 20 showrooms in Bangladesh's Chapainawabganj and Bagerhat districts. Knowledge of energy consumption and energy efficiency technology options is found to be associated with household use of energy conservation practices. Household characteristics also influence household energy use behavior. Younger household cohorts are more likely to adopt energy-efficient technologies and energy conservation practices and place primary importance on energy saving for environmental reasons. Education also influences attitudes toward energy conservation in Bangladesh. Low-education households indicate they primarily save electricity for the environment while high-education households indicate they are motivated by environmental concerns.
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Height gauges may also be used to measure the height of an object by using the underside of the scriber as the datum. The datum may be permanently fixed or the height gauge may have provision to adjust the scale, this is done by sliding the scale vertically along the body of the height gauge by turning a fine feed screw at the top of the gauge; then with the scriber set to the same level as the base, the scale can be matched to it. This adjustment allows different scribers or probes to be used, as well as adjusting for any errors in a damaged or resharpened probe.
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Rejoignez Philippe Ozil pour une session de workshops qui vous guidera à travers les détails de la plateforme Einstein 1, l'importance des données pour la création d'applications d'intelligence artificielle et les différents outils et technologies que Salesforce propose pour vous apporter tous les bénéfices de l'IA.Ericsson LTE Throughput Troubleshooting Techniques.ppt
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原版制作(Humboldt毕业证书)柏林大学毕业证学位证一模一样
原件一模一样【微信：bwp0011】《(Humboldt毕业证书)柏林大学毕业证学位证》【微信：bwp0011】学位证，留信认证（真实可查，永久存档）原件一模一样纸张工艺/offer、雅思、外壳等材料/诚信可靠,可直接看成品样本，帮您解决无法毕业带来的各种难题！外壳，原版制作，诚信可靠，可直接看成品样本。行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备。十五年致力于帮助留学生解决难题，包您满意。
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1:1完美还原海外各大学毕业材料上的工艺：水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠。文字图案浮雕、激光镭射、紫外荧光、温感、复印防伪等防伪工艺。材料咨询办理、认证咨询办理请加学历顾问微bwp0011
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三.真实教育部学历学位认证（教育部存档！教育部留服网站永久可查）
四.办理各国各大学文凭(一对一专业服务,可全程监控跟踪进度)
如果您处于以下几种情况：
◇在校期间，因各种原因未能顺利毕业……拿不到官方毕业证【微bwp0011】
◇面对父母的压力，希望尽快拿到；
◇不清楚认证流程以及材料该如何准备；
◇回国时间很长，忘记办理；
◇回国马上就要找工作，办给用人单位看；
◇企事业单位必须要求办理的
◇需要报考公务员、购买免税车、落转户口
◇申请留学生创业基金
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
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PREDICTION OF COMPRESSIVE STRENGTH OF CONCRETE FROM EARLY AGE TEST RESULT
- 1. PREDICTION OF COMPRESSIVE STRENGTH OF CONCRETE FROM EARLY AGE TEST RESULT M. Monjurul Hasan Undergraduate Student (Level-4, Term-2) Bangladesh University of Engineering and Technology, Dhaka 1000, Bangladesh Dr. Ahsanul Kabir Professor, Dept. of Civil Engineering Bangladesh University of Engineering and Technology, Dhaka 1000, Bangladesh
- 2. Outline Introduction Objective Previous Approaches. Proposed Approach Mathematical Model Performance Conclusion
- 3. Introduction • Concrete has versatile use in the construction practice. • The compressive strength is one of the most important and useful properties of concrete. • The design strength of the concrete normally represents its 28th day strength. • 28 days is a considerable time to wait for the test results of concrete strength, while it is mandatory to represent the process of quality control.
- 4. Introduction (Contd..) • For every mix one has to wait a long time for the assurance of its quality. • Hence, the need for an easy and suitable means for estimating the strength at an early age of concrete is being felt all the time.
- 5. Objective • To develop a simple relation which has the potential to predict the compressive strength of the concrete from early days strength. • To evaluate nature of concrete strength gain pattern with time for a particular type of mix. • To formulate a quick, handy & flexible computational method to asses the nature of concrete strength gain with time.
- 6. Previous Approaches • Traditional empirical formula • Linear Regression model • Artificial neural network • Genetic algorithm • Support vector mechanism • M5P Tree model
- 7. Proposed Approach (Nonlinear Regression model) • Data used for this study was taken from previous study (Garg, 2003).
- 8. Proposed Approach ( cont. …) • Concrete Data Ranges (without Admixture, ordinary Portland cement)
- 9. Proposed Approach ( cont. …) • First step : to understand the strength gaining pattern of the concrete with age
- 10. Proposed Mathematical Model The Mathematical Model: where, Stn = Strength of the concrete at nth day.(n = 1,2,3,…..); Dn = Number of days; p and q are constants for each curve but different for different data sets (curves). Though this equation (Eq. 1) is formed independently, it is similar to the equation (Eq. 2) proposed by ACI committee ( ACI 209-71) for predicting compressive strength at any time. Here a and b are constants, = 28-day strength and t is time and this equation (Eq. 2) can be recast to similar form of Equation 1. dcf 28 ' )(
- 11. Mathematical Model ( Cont. ...) To utilize the above equation (Eq. 1), just value of two constants (p and q) are to be determined. It was observed that, , values of p can be expressed as the function of q and (Stn) [which is a polynomial surface equation]. The equation of the correlation is given below: p = a + b.q + c.Stn + d.q.Stn + e.Stn 2 (3) Where, Stn= Strength of the concrete at nth day. (n = 1, 2, 3, ……) and a, b, c, d and e are the coefficients.
- 12. Mathematical Model ( Cont. ...) As we build up the correlation for 7th day test result of concrete [n=7], the values of the coefficients were derived as, a = 10.23; b = -0.9075; c = 0.3412; d = 0.1721; e = 0.0112 from regression analysis of the available data for concrete with stone chips as course aggregate Putting these values in Equation 3 the following equation was obtained: p = 10.23 - 0.9075q + 0.3412St7 + 0.1721q.St7 + 0.0112St7 2 (4) For 14th day strength results [n=14] the coefficients are, a = -4.527; b = -1.041; c = 1.373; d = 0.1406; e = -0.0125. Putting these values into Equation 3 the following equation was obtained: p = -4.527- 1.041q + 1.373St14 + 0.1406q.St14 - 0.0125St14 2 (5)
- 13. Mathematical Model ( Cont. ...) Represented surface ….
- 14. Mathematical Model ( Cont. ...) Represented surface ….
- 15. Performance
- 16. Performance ( Cont. ...)
- 17. Performance ( Cont. ...)
- 18. Conclusion • This paper represents a simple mathematical model • In this study, the concrete strength gain characteristic with age is modeled by a simple mathematical equation (rational polynomial) and a polynomial surface equation • The proposed equations have the potential to predict strength data for every age. • This will help in making quick decision for accidental poor concreting at site and reduce delay.