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CRC Press Bayesian Compressive Sensing for Site Characterization - Geotechnical Engineering

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Description

Site characterization is indispensable to geotechnical and rock engineering practice, yet sparse measurements remain a persistent challenge in subsurface investigation. This CRC Press book introduces Bayesian compressive sensing (BCS) as a highly efficient spatial data analytic and simulation method for modelling geo-data from limited underground samples and tests. Whether facing technical constraints, budget limitations, time pressures, or access difficulties at your site, BCS offers a practical framework for extracting maximum value from sparse measurements of soil and rock. The book addresses the core problem facing every geotechnical engineer: how to characterise unique underground conditions when only a tiny fraction of the site can be visually inspected, sampled, or tested. By combining Bayesian statistical methods with compressive sensing principles, this text provides both theoretical foundations and applied techniques for efficient spatial modelling. Essential for practitioners and researchers working in site investigation, foundation design, slope stability analysis, and underground construction projects where measurement data is inherently limited and costly to obtain.

Key Features

Introduces Bayesian compressive sensing (BCS) as an efficient spatial data analytic method for geotechnical and rock engineering applications.

Addresses the persistent challenge of sparse measurements in site characterization and underground investigation.

Provides simulation methods for modelling spatial geo-data from limited underground samples and tests.

Offers practical solutions for sites facing technical, budget, time, or access constraints during subsurface exploration.

Published by CRC Press, a leading publisher of technical and scientific engineering references.

Combines Bayesian statistical approaches with compressive sensing principles for improved site characterisation accuracy.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
11 December 2025
Listed Since
04 July 2025

Barcode

No barcode data available

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