This reference guide from an international team of experts shows how uncertainty quantification and numerical modeling can complement each other to enhance decision making in geotechnical practice, filling a critical gap in guiding practitioners to address uncertainties directly.
This reference guide from an international team of experts shows how uncertainty quantification and numerical modeling can complement each other to enhance decision making in geotechnical practice, filling a critical gap in guiding practitioners to address uncertainties directly.Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
Kok-Kwang Phoon is Cheng Tsang Man Chair Professor and Provost at the Singapore University of Technology and Design. He has edited three books and authored one book: Model Uncertainties in Foundation Design (CRC Press, 2021). He was awarded the ASCE Norman Medal twice, in 2005 and in 2020, and the Humboldt Research Award in 2017. He is the Founding Editor of Georisk and appointed a Board Member of ISSMGE and elected as a Fellow of the Academy of Engineering Singapore. Takayuki Shuku is Associate Professor of Okayama University in Japan. He received the Best Paper Award from Japan Society of Civil Engineering in 2020, and the ISSMGE Bright Spark Lecture Award in 2019. Jianye Ching is Distinguished Professor at National Taiwan University and Convener of the Civil & Hydraulic Engineering Program of the Ministry of Science and Technology of Taiwan. He served as Chair of ISSMGE's TC304 (risk) and Chair of Geotechnical Safety Network (GEOSNet). He is Managing Editor of the journal Georisk.
Inhaltsangabe
1. Uncertainty-informed decision making in Burland Triangle. 2. Soil and rock parametric uncertainties. 3. Uncertainty in constitutive models. 4. Uncertainty in data-driven site characterization. 5. Variability of predictions in geotechnics. 6. Geotechnical reliability analysis for practice. 7. Reliability analysis with reduced order model. 8. Stochastic finite element methods for slope stability analysis and risk assessment. 9. Reliability-based design with numerical models. 10. Probabilistic inverse analysis for geotechnics. 11. Use of geotechnical software for probabilistic analysis and design. 12. Reliability-based decision-making with FE models for real-life case studies. 13. Soil-structure interaction in spatially variable ground. 14. Reduction of uncertainty through piling data within the same site in the press-in piling method. 15. Slope reliability assessments for linear infrastructures. 16. Uncertainty, modelling, and decision making for ground improvement.
1. Uncertainty-informed decision making in Burland Triangle. 2. Soil and rock parametric uncertainties. 3. Uncertainty in constitutive models. 4. Uncertainty in data-driven site characterization. 5. Variability of predictions in geotechnics. 6. Geotechnical reliability analysis for practice. 7. Reliability analysis with reduced order model. 8. Stochastic finite element methods for slope stability analysis and risk assessment. 9. Reliability-based design with numerical models. 10. Probabilistic inverse analysis for geotechnics. 11. Use of geotechnical software for probabilistic analysis and design. 12. Reliability-based decision-making with FE models for real-life case studies. 13. Soil-structure interaction in spatially variable ground. 14. Reduction of uncertainty through piling data within the same site in the press-in piling method. 15. Slope reliability assessments for linear infrastructures. 16. Uncertainty, modelling, and decision making for ground improvement.
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