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 'This book is a valuable resource to the practice of geotechnical engineering as problems become more challenging due to rapid urbanization, aging infrastructure, and climate change... This is a much-needed book to fill a gap in the literature regarding data-driven approaches that capitalize on digital transformation and vast advancements in computing power.' Anand Govindasamy in ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems