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Springer - Bayesian Probability in Geotechnical Engineering

Amazon

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£128.04 £105.39 £110.33 £115.27 £120.22 £125.16 £130.10 28 July 2026 09 August 2026 22 August 2026 04 September 2026 17 September 2026
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27 days 13 days 12 days · current 0 7 14 20 27 £108 £109 £128 Days at Price

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Price range: £108 - £128

Price levels: 3 different prices over 52 days

Description

This professional text from Springer provides a systematic introduction to the application of Bayesian probabilistic approaches within soil mechanics and geotechnical engineering. The book focuses on practical implementation by analyzing four specific technical problems to help engineers navigate complex soil data. Readers will explore methods to model the effect of initial void ratio on the soil-water characteristic curve (SWCC) of unsaturated soil and learn how to select the optimal model for predicting creep behavior in soft soil under one-dimensional straining. Additionally, the content covers how to identify soil model parameters and select constitutive models of soils while considering the critical state concept. This resource is designed to provide a simple and easy-to-use framework for applying advanced probabilistic theory to real-world geotechnical challenges.

Key Features

This Springer publication introduces a systematic Bayesian probabilistic approach for use in soil mechanics and geotechnical engineering.

The text provides detailed analysis on modeling the effect of initial void ratio on the soil-water characteristic curve (SWCC) of unsaturated soil.

Learn to select the optimal model for predicting the creep behavior of soft soil under one-dimensional straining conditions.

The book demonstrates how to identify specific model parameters of soils through probabilistic methods.

Includes guidance on selecting constitutive models of soils while taking the critical state concept into account.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
14 November 2021
Listed Since
19 October 2021

Barcode

No barcode data available

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