Mourad Zeghal (Editor)
Dr. Zeghal research interests include: Computational Soil Micro-Mechanics, Geotechnical-System Identification, Seismic Response Monitoring, and Information Technology Applications in Geomechnics. He is active with the Center for Network for Earthquake Engineering Simulation (CEES), Scientific Computation Research Center (SCOREC) and the Inverse Problems Center (IPRPI). Failure of geosystems due to natural or man-made hazards such as hurricanes, floods, earthquakes, or terrorist attacks may have monumental repercussions, sometimes with dramatic and unanticipated consequences on human life and the country’s economy. Dr. Zeghal’s research focuses on three areas that are central to the national effort to reduce the impact of these hazards: (1) multiscale modeling of geosystems, (2) model validation and calibration, and (3) development of improved optimal design tools. The methodology of evaluating and predicting the performance of geosystems is undergoing a significant paradigm shift. Computational simulations are destined to become more prominent than empirical approaches and will ultimately become the main tool for analysis and design of civil systems. A hierarchy of adaptive and cost-effective computational models capable of accurately predicting the multiscale and multiphysics response of geosystems is being developed. This hierarchy enables a seamless handling of the initiation and evolution of the various response and failure mechanisms of soils under extreme loading conditions. The hierarchical models range from homogenized continuum to discontinuous coarse-particle formulations. A class of innovative system identification and inverse problem tools are being developed to calibrate these models using experimental data ranging from soil sample and centrifuge tests to full-scale and field tests. This new generation of computational procedures is being translated to practice through careful interactions with practitioners (from industry and government laboratories) and the introduction of changes in the educational curricula of our students. Education Ph.D., Princeton University Civil Engineering M.A., Princeton University Civil EngineeringDr. Zeghal research interests include: Computational Soil Micro-Mechanics, Geotechnical-System Identification, Seismic Response Monitoring, and Information Technology Applications in Geomechnics. He is active with the Center for Network for Earthquake Engineering Simulation (CEES), Scientific Computation Research Center (SCOREC) and the Inverse Problems Center (IPRPI). Failure of geosystems due to natural or man-made hazards such as hurricanes, floods, earthquakes, or terrorist attacks may have monumental repercussions, sometimes with dramatic and unanticipated consequences on human life and the country’s economy. Dr. Zeghal’s research focuses on three areas that are central to the national effort to reduce the impact of these hazards: (1) multiscale modeling of geosystems, (2) model validation and calibration, and (3) development of improved optimal design tools. The methodology of evaluating and predicting the performance of geosystems is undergoing a significant paradigm shift. Computational simulations are destined to become more prominent than empirical approaches and will ultimately become the main tool for analysis and design of civil systems. A hierarchy of adaptive and cost-effective computational models capable of accurately predicting the multiscale and multiphysics response of geosystems is being developed. This hierarchy enables a seamless handling of the initiation and evolution of the various response and failure mechanisms of soils under extreme loading conditions. The hierarchical models range from homogenized continuum to discontinuous coarse-particle formulations. A class of innovative system identification and inverse problem tools are being developed to calibrate these models using experimental data ranging from soil sample and centrifuge tests to full-scale and field tests. This new generation of computational procedures is being translated to practice through careful interactions with practitioners (from industry and government laboratories) and the introduction of changes in the educational curricula of our students. Education Ph.D., Princeton University Civil Engineering M.A., Princeton University Civil Engineering
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Dr. Zeghal research interests include: Computational Soil Micro-Mechanics, Geotechnical-System Identification, Seismic Response Monitoring, and Information Technology Applications in Geomechnics. He is active with the Center for Network for Earthquake Engineering Simulation (CEES), Scientific Computation Research Center (SCOREC) and the Inverse Problems Center (IPRPI). Failure of geosystems due to natural or man-made hazards such as hurricanes, floods, earthquakes, or terrorist attacks may have monumental repercussions, sometimes with dramatic and unanticipated consequences on human life and the country’s economy. Dr. Zeghal’s research focuses on three areas that are central to the national effort to reduce the impact of these hazards: (1) multiscale modeling of geosystems, (2) model validation and calibration, and (3) development of improved optimal design tools. The methodology of evaluating and predicting the performance of geosystems is undergoing a significant paradigm shift. Computational simulations are destined to become more prominent than empirical approaches and will ultimately become the main tool for analysis and design of civil systems. A hierarchy of adaptive and cost-effective computational models capable of accurately predicting the multiscale and multiphysics response of geosystems is being developed. This hierarchy enables a seamless handling of the initiation and evolution of the various response and failure mechanisms of soils under extreme loading conditions. The hierarchical models range from homogenized continuum to discontinuous coarse-particle formulations. A class of innovative system identification and inverse problem tools are being developed to calibrate these models using experimental data ranging from soil sample and centrifuge tests to full-scale and field tests. This new generation of computational procedures is being translated to practice through careful interactions with practitioners (from industry and government laboratories) and the introduction of changes in the educational curricula of our students. Education Ph.D., Princeton University Civil Engineering M.A., Princeton University Civil Engineering
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Model Tests and Numerical Simulations of Liquefaction and Lateral Spreading
This open access book presents work collected through the Liquefaction Experiments and Analysis Projects (LEAP) in 2017. It addresses the repeatability, variability, and sensitivity of lateral spreading observed in twenty-four centrifuge model tests on mildly sloping liquefiable sand. The centrifuge tests were conducted at nine different centrifuge facilities around the world. For the first time, a sufficient number of experiments were conducted to enable assessment of variability of centrifuge test results. The experimental data provided a unique basis for assessing the capabilities of twelve different simulation platforms for numerical simulation of soil liquefaction. The results of the experiments and the numerical simulations are presented and discussed in papers submitted by the project participants. The work presented in this book was followed by LEAP-Asia that included assessment of a generalized scaling law and culminated in a workshop in Osaka, Japan in March 2019. LEAP-2020, ongoing at the time of printing, is addressing the validation of soil-structure interaction analyses of retaining walls involving a liquefiable soil. A workshop is planned at RPI, USA in 2020.
