Bayesian Compressive Sensing for Site Characterization

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

Buch, Englisch, 256 Seiten, Format (B × H): 156 mm x 234 mm, Gewicht: 453 g

Reihe: Challenges in Geotechnical and Rock Engineering

Bayesian compressive sensing or sampling (BCS) can be used for handling sparse measurements in geo-sciences and 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 book introduces BCS as a highly efficient spatial data analytic and simulation method for the efficient modelling of spatial geo-data from sparse measurements. It shows how to quantify reliability and uncertainty, and how to optimize site characterization. It sets out the necessary theory and computational tools for setting up and solving a sparse spatial data modelling 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 modelling other spatially varying phenomena such as air quality data, soil or water pollution data, and meteorological data. This is supplemented with Analytics of Sparse Spatial Data using Bayesian Compressive Sampling/Sensing software, with the 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

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

Dr Yu Wang is a professor of geotechnical engineering at City University of Hong Kong, and an elected Fellow of American Society of Civil Engineers (ASCE).

Dr Tengyuan Zhao is an associate professor of geotechnical and geological engineering at Xi’an Jiaotong University, China

Dr Yue Hu is a postdoctoral Research Fellow at National University of Singapore

Dr. Zheng Guan is a research assistant professor at University of Macau and a Registered Geotechnical and Structural Engineer in China Professor

Kok-Kwang Phoon is Cheng Tsang Man Chair Professor and provost 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