Bayesian Compressive Sensing for Site Characterization

1. Auflage 2025
ISBN: 978-1-032-45809-0
Verlag: Taylor & Francis Ltd

Buch, Englisch, 276 Seiten, Format (B × H): 156 mm x 234 mm, Gewicht: 453 g

Reihe: Challenges in Geotechnical and Rock Engineering

Site characterization is indispensable to good geotechnical or rock engineering practice as every site is unique, but technical, budget, time, or access constraints typically result in only a tiny fraction of the underground soil and rock in a site being visually inspected, sampled, or tested. This leads to a long- lasting challenge of sparse measurements in geo- sciences and engineering. This book introduces Bayesian compressive sensing or sampling (BCS) as a highly efficient spatial data analytic and simulation method for the efficient modelling of spatial geo- data from sparse measurements, with quantified reliability and uncertainty to further optimize site characterization. It provides the necessary theory and computational tools for setting up and solving a sparse spatial data modeling problem using BCS.

This book suits graduate students, academics, researchers, and engineers interested in site characterization from sparse measurements in geotechnical and rock engineering, and also those modeling other spatially varying phenomena such as air quality data, soil or water pollution data, and meteorological data. This is supplemented with a software called Analytics of Sparse Spatial Data using Bayesian compressive sampling/ sensing and illustrative examples, and enables hands- on experience of spatial data analytics and simulation using sparse measurements.

Zielgruppe

Postgraduate and Professional

Autoren/Hrsg.

Phoon, Kok-Kwang

Wang, Yu

Zhao, Tengyuan

Hu, Yue

Guan, Zheng

Fachgebiete

• Technische Wissenschaften Bauingenieurwesen Boden- und Felsmechanik, Geotechnik
• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Data Mining
• Technische Wissenschaften Bauingenieurwesen Bauingenieurwesen
• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Automatische Datenerfassung, Datenanalyse

Inhaltsverzeichnis

1. Introduction 2. Compressive Sensing (CS) 3. Analytics of sparse spatial data by BCS 4. Simulation of sparse spatial data 5. Sample size determination for site characterization 6. Adaptive sampling in site characterization 7. Software ASSD-BCS 8. Future Research and Challenges

Über Autor(innen)

Yu Wang is Professor of Geotechnical Engineering at the Hong Kong University of Science and Technology, Hong Kong.

Tengyuan Zhao is Associate Professor of Geotechnical and Geological Engineering at Xi’an Jiaotong University, China.

Yue Hu is Humboldt Postdoctoral Fellow at Leibniz Universität Hannover, Germany.

Zheng Guan is Assistant Professor of Geotechnical Risk Assessment and Management at Delft University of Technology in the Netherlands and a registered geotechnical and structural engineer in China.

Kok-Kwang Phoon is Cheng Tsang Man Chair Professor and President at Singapore University of Technology and Design (SUTD). He has twice won the American Society of Civil Engineers Norman Medal and is founding editor of the journal Georisk.