Book•
Principles of Foundation Engineering
01 Jan 1984-
TL;DR: The 7th edition of the "PrincipLES of FOUNDATION ENGINEERING" as discussed by the authors was published in the fall of 1983 and has been widely used in foundation engineering courses.
Abstract: Originally published in the fall of 1983, Braja M. Das' Seventh Edition of PRINCIPLES OF FOUNDATION ENGINEERING continues to maintain the careful balance of current research and practical field applications that has made it the leading text in foundation engineering courses. Featuring a wealth of worked-out examples and figures that help students with theory and problem-solving skills, the book introduces civil engineering students to the fundamental concepts and application of foundation analysis design. Throughout, Das emphasizes the judgment needed to properly apply the theories and analysis to the evaluation of soils and foundation design as well as the need for field experience.
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TL;DR: In this article, the authors addressed the some fundamental and success soil improvement techniques used in civil engineering field and addressed the failure to identify the existence and magnitude of expansion of these soils in the early stage of project planning.
Abstract: Clayey soils are usually stiff when they are dry and give up their stiffness as they become saturated. Soft clays are associated with low compressive strength and excessive settlement. This reduction in strength due to moisture leads to severe damages to buildings and foundations. The soil behavior can be a challenge to the designer build infrastructure plans to on clay deposits. The damage due to the expansive soils every year is expected to be $1 billion in the USA, £150 million in the UK, and many billions of pounds worldwide. The damages associated with expansive soils are not because of the lack of inadequate engineering solutions but to the failure to identify the existence and magnitude of expansion of these soils in the early stage of project planning. One of the methods for soil improvement is that the problematic soil is replaced by suitable soil. The high cost involved in this method has led researchers to identify alternative methods, and soil stabilization with different additives is one of those methods. Recently, modern scientific techniques of soil stabilization are on offer for this purpose. Stabilized soil is a composite material that is obtained from the combination and optimization of properties of constituent materials. Adding cementing agents such as lime, cement and industrial byproducts like fly ash and slag, with soil results in improved geotechnical properties. However, during the past few decades, a number of cases have been reported where sulfate-rich soils stabilized by cement or lime underwent a significant amount of heave leading to pavement failure. This research paper addressed the some fundamental and success soil improvement that used in civil engineering field.
230 citations
26 Apr 2007
TL;DR: In this article, the state of the Soil and its influence are discussed. But the authors do not discuss the characteristics of the soil and its properties in terms of its geology.
Abstract: 1. Site Investigation 2. Soil Classification 3. Rock Classification 4. Field Sampling and Testing 5. Soil Strength Parameters from Testing 6. Rock Strength Parameters from Testing 7. Soil Properties and the state of the Soil 8. Permeability and its influence 9. Rock Properties 10. Material and Testing Variability 11. Deformation Parameters 12. Earthworks 13. Subgrades and Pavements 14. Slopes 15. Terrain Assessment, Drainage and Erosion 16. Geosynthetics 17. File Specifications 18. Rock Mass Classification Systems 19. Earth Pressures 20. Retaining Walls 21. Soil Foundations 22. Rock Foundations 23. Movements 24. Appendix - Loading 25. References
223 citations
TL;DR: A Matlab-based BPNN model is developed, and the data from the case study are used to train and test the developed model to enable prediction of the magnitude of the ground movements with the help of input variables that have direct physical significance.
163 citations
TL;DR: In this article, a comprehensive suite of geotechnical laboratory tests was undertaken on samples of recycled crushed glass produced in Victoria, Australia and three types of recycled glass sources were tested being coarse, medium and fine sized glass.
155 citations
TL;DR: A review of some selected AI techniques and their applications in pile foundations, and salient features associated with the modeling development of these AI techniques are presented in this article. And the strength and limitations of the selected AI approaches compared to other available modeling approaches are discussed.
Abstract: Geotechnical engineering deals with materials (e.g. soil and rock) that, by their very nature, exhibit varied and uncertain behavior due to the imprecise physical processes associated with the formation of these materials. Modeling the behavior of such materials in geotechnical engineering applications is complex and sometimes beyond the ability of most traditional forms of physically-based engineering methods. Artificial intelligence (AI) is becoming more popular and particularly amenable to modeling the complex behavior of most geotechnical engineering applications because it has demonstrated superior predictive ability compared to traditional methods. This paper provides state-of-the-art review of some selected AI techniques and their applications in pile foundations, and presents the salient features associated with the modeling development of these AI techniques. The paper also discusses the strength and limitations of the selected AI techniques compared to other available modeling approaches.
138 citations
Cites methods or result from "Principles of Foundation Engineerin..."
...The methods used for comparison include the ANN model developed by Shahin and Jaksa (2005), LCPC method (Bustamante and Gianeselli, 1982), Das method (Das, 1995) and Bowles method (Bowles, 1997)....
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...Model predictions were also compared with those obtained from a number of traditional methods; namely those of Vesic (1977), Poulos and Davis (1980), Das (1995), and the non-linear t-z method of Reese et al. (2006). The results indicated that the neural network model has the ability to predict the settlement of pile with an acceptable degree of accuracy of correlation coefficient r 1⁄4 0....
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...The results obtained were also compared with those obtained from three of the most commonly used traditional methods, namely, the LCPC method proposed by Bustamante and Gianeselli (1982), and the methods proposed by Das (1995) and Bowles (1997)....
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...Model predictions were also compared with those obtained from a number of traditional methods; namely those of Vesic (1977), Poulos and Davis (1980), Das (1995), and the non-linear t-z method of Reese et al....
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...Model predictions were also compared with those obtained from a number of traditional methods; namely those of Vesic (1977), Poulos and Davis (1980), Das (1995), and the non-linear t-z method of Reese et al. (2006)....
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