Bayesian Machine Learning in Geotechnical Site Characterization

1. Auflage 2024
ISBN: 978-1-032-31441-9
Verlag: CRC Press

Buch, Englisch, 188 Seiten, Format (B × H): 161 mm x 240 mm, Gewicht: 455 g

Reihe: Challenges in Geotechnical and Rock Engineering

Bayesian data analysis and modelling linked with machine learning offers a new tool for handling geotechnical data. This book presents recent advancements made by the author in the area of probabilistic geotechnical site characterization.

Two types of correlation play central roles in geotechnical site characterization: cross-correlation among soil properties and spatial-correlation in the underground space. The book starts with the introduction of Bayesian notion of probability “degree of belief”, showing that well-known probability axioms can be obtained by Boolean logic and the definition of plausibility function without the use of the notion “relative frequency”. It then reviews probability theories and useful probability models for cross-correlation and spatial correlation. Methods for Bayesian parameter estimation and prediction are also presented, and the use of these methods demonstrated with geotechnical site characterization examples.

Bayesian Machine Learning in Geotechnical Site Characterization suits consulting engineers and graduate students in the area.

Zielgruppe

Academic, Postgraduate, and Professional

Autoren/Hrsg.

Ching, Jianye

Fachgebiete

• Technische Wissenschaften Bauingenieurwesen Bauingenieurwesen
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Maschinelles Lernen
• Mathematik | Informatik EDV | Informatik Daten / Datenbanken
• Technische Wissenschaften Bauingenieurwesen Boden- und Felsmechanik, Geotechnik

Inhaltsverzeichnis

1. Bayesian Approach.  2. Review of Probability and Models.  3. Bayesian Parameter Estimation and Prediction.  4. Geotechnical Data and Bayesian Modeling.  5. Full-scale Real Case Study.

Über Autor(innen)

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 is Chair of ISSMGE‘s TC304 (risk), Chair of Geotechnical Safety Network (GEOSNet), and Managing Editor of the journal Georisk.