Uncertainty, Modeling, and Decision Making in Geotechnics

— —

Kok-Kwang Phoon (Singapore University of Technology and Design, Singapore) Takayuki Shuku (Okayama University, Japan)

Uncertainty, Modeling, and Decision Making in Geotechnics

Kok-Kwang Phoon (Singapore University of Technology and Design, Singapore), Takayuki Shuku (Okayama University, Japan), Jianye Ching (National Taiwan University, Taipei)

$326

Hardback

Not in-store but you can order this
How long will it take?

Availability Information

We source books from suppliers in Australia and overseas. For books we don't currently have in stock, the time it takes to get them from our suppliers can vary widely - from a few days to a few months - so we check each book with each supplier to determine the expected time it will take to be supplied to us.

We then advise you accordingly. If the time taken to get any book is too long for you, you can let us know and we will cancel or adjust your order, and refund as required.

To find out the anticipated arrival time for specific items prior to ordering, please contact us by phone or email:

Phone +61 2 9264 3111, or 1800 4 BOOKS (1800 4 26657) if outside Sydney:
option 1 Abbey's Bookshop (Crime, History, Science, Kids & more) • info@abbeys.com.au
option 2 Language Book Centre (ESL & Foreign Languages) • language@abbeys.com.au
option 3 Galaxy Bookshop (Sci-fi, Fantasy, Romance, Graphic Novels) • sf@galaxybooks.com.au

QTY:

English

CRC Press
11 December 2023

Geology & the lithosphere; Soil & rock mechanics

Series: 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.

Edited by: Kok-Kwang Phoon (Singapore University of Technology and Design Singapore), Takayuki Shuku (Okayama University, Japan), Jianye Ching (National Taiwan University, Taipei)
Imprint: CRC Press
Country of Publication: United Kingdom
Dimensions: Height: 254mm, Width: 178mm,
Weight: 1.120kg
ISBN: 9781032367491
ISBN 10: 1032367490
Series: Challenges in Geotechnical and Rock Engineering
Pages: 502
Publication Date: 11 December 2023
Audience: College/higher education , Professional and scholarly , Primary , Undergraduate
Format: Hardback
Publisher's Status: Active

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.

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.

Reviews for Uncertainty, Modeling, and Decision Making in Geotechnics

'All chapters of this book collectively highlight the growing importance of probabilistic and advanced computational methods in geotechnical engineering, focusing on the necessity to account for soil variability and construction uncertainties. Techniques like the Random Finite Element Method, Monte Carlo simulations, and reduced-order models are emphasised for their role in improving design accuracy and reliability. For practicing engineers, this signifies a shift towards more informed decision-making, allowing for safer, more efficient, and sustainable solutions. The inclusion of practical case studies makes the book a valuable guide for engineers to implement these methods in real-world scenarios.' Behzad Fatahi, in Georisk A strength of the book is its large scope in terms of probabilistic methods and applications, facilitated by the combined expertise of the contributing authors. You will find practical examples of piling, tunnels, footings, ground improvement, and slopes in both layered soil and jointed rock, to mention just a few... The premise is that the engineer’s decision-making can be enhanced by performing uncertainty quantification and numerical modelling in combination. Johan Spross in Structural Safety