Uncertainty, Modeling, and Decision Making in Geotechnics

1. Auflage 2023
ISBN: 978-1-032-36749-1
Verlag: CRC Press

Buch, Englisch, 520 Seiten, Format (B × H): 183 mm x 260 mm, Gewicht: 1166 g

Reihe: Challenges in Geotechnical and Rock Engineering

Uncertainty, Modeling, and Decision Making in Geotechnics 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.

The book helps practitioners acquire a working knowledge of geotechnical risk and reliability methods and guides them to use these methods wisely in conjunction with data and numerical modeling. In particular, it provides guidance on the selection of realistic statistics and a cost-effective, accessible method to address different design objectives, and for different problem settings, and illustrates the value of this to decision-making using realistic examples.

Bringing together statistical characterization, reliability analysis, reliability-based design, probabilistic inverse analysis, and physical insights drawn from case studies, this reference guide from an international team of experts offers an excellent resource for state-of-the-practice uncertainty-informed geotechnical design for specialist practitioners and the research community.

Zielgruppe

Postgraduate, Professional, and Professional Reference

Autoren/Hrsg.

Phoon, Kok-Kwang

Shuku, Takayuki

Ching, Jianye

Fachgebiete

• Technische Wissenschaften Bauingenieurwesen Bauingenieurwesen
• Technische Wissenschaften Bauingenieurwesen Boden- und Felsmechanik, Geotechnik

Inhaltsverzeichnis

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.

Über Autor(innen)

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.