In the last decade, reliability-based design methodologies have been adopted or are close to adoption by design codes in USA, Europe, and Japan, especially as ISO 2394 now relies more on risk-based design. This book explains how calculations can be carried out using simple tools, and by presenting illustrative or actual examples. It presents all the "need-to-know" information for a non-specialist to calculate and interpret the reliability index and risk of geotechnical structures in a realistic and robust way.
In the last decade, reliability-based design methodologies have been adopted or are close to adoption by design codes in USA, Europe, and Japan, especially as ISO 2394 now relies more on risk-based design. This book explains how calculations can be carried out using simple tools, and by presenting illustrative or actual examples. It presents all the "need-to-know" information for a non-specialist to calculate and interpret the reliability index and risk of geotechnical structures in a realistic and robust way.
Kok-Kwang Phoon is a distinguished professor and head of the Department of Civil and Environmental Engineering, National University of Singapore, and past president of the Geotechnical Society of Singapore. His main research interests include statistical characterization of geotechnical parameters and reliability-based design in geotechnical engineering. He is the recipient of numerous research awards, including the ASCE Norman Medal in 2005 and the NUS Outstanding Researcher Award in 2010. He is the founding editor of Georisk and chair of TC304 (Engineering Practice of Risk Assessment and Management) in the International Society for Soil Mechanics and Geotechnical Engineering. Jianye Ching is a professor in the Department of Civil Engineering, National Taiwan University. His main research interests include geotechnical reliability analysis and reliability-based design, basic uncertainties in soil properties, random fields and spatial variability, and geotechnical design codes. He is the secretary of TC304 (risk) in the International Society for Soil Mechanics and Geotechnical Engineering. He is the recipient of the Outstanding Research Award and the Wu-Da-Yu Memorial Award from the National Science Council of Taiwan, Republic of China.
Inhaltsangabe
Part I. Properties. Constructing multivariate distributions for soil parameters. Modeling and simulation of bivariate distribution of shear strength parameters using copulas. Part II. Methods. Evaluating reliability in geotechnical engineering. Maximum likelihood principle and its application in soil liquefaction assessment. Bayesian analysis for learning and updating geotechnical parameters and models with measurements. Polynomial chaos expansions and stochastic finite-element methods. Practical reliability analysis and design by Monte Carlo Simulation in spreadsheet. Part III. Design. LRFD calibration of simple limit state functions in geotechnical soil-structure design. Reliability-based design: Practical procedures, geotechnical examples, and insights. Managing risk and achieving reliable geotechnical designs using Eurocode 7. Part IV. Risk and decision. Practical risk assessment for embankments, dams, and slopes. Evolution of geotechnical risk analysis in North American practice. Assessing the value of information to design site investigation and construction quality assurance programs. Verification of geotechnical reliability using load tests and integrity tests. Part V. Spatial variability. Application of the subset simulation approach to spatially varying soils. Appendices. List of symbols. References. Index.
Part I. Properties. Constructing multivariate distributions for soil parameters. Modeling and simulation of bivariate distribution of shear strength parameters using copulas. Part II. Methods. Evaluating reliability in geotechnical engineering. Maximum likelihood principle and its application in soil liquefaction assessment. Bayesian analysis for learning and updating geotechnical parameters and models with measurements. Polynomial chaos expansions and stochastic finite-element methods. Practical reliability analysis and design by Monte Carlo Simulation in spreadsheet. Part III. Design. LRFD calibration of simple limit state functions in geotechnical soil-structure design. Reliability-based design: Practical procedures, geotechnical examples, and insights. Managing risk and achieving reliable geotechnical designs using Eurocode 7. Part IV. Risk and decision. Practical risk assessment for embankments, dams, and slopes. Evolution of geotechnical risk analysis in North American practice. Assessing the value of information to design site investigation and construction quality assurance programs. Verification of geotechnical reliability using load tests and integrity tests. Part V. Spatial variability. Application of the subset simulation approach to spatially varying soils. Appendices. List of symbols. References. Index.
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