Settlement of Shallow Foundations on Cohesionless Soils

Over the years, many methods have been developed to predict settlement of shallow foundations on cohesionless soils. However, methods that have the desired degree of accuracy and consistency have not yet been developed. In this book, one of the most common artificial intelligence techniques, i.e. ar...

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Main Author: Shahin, Mohamed
Format: Book
Published: Lambert Academic Publishing AG & Co KG 2010
Online Access:http://hdl.handle.net/20.500.11937/26950
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author Shahin, Mohamed
author_facet Shahin, Mohamed
author_sort Shahin, Mohamed
building Curtin Institutional Repository
collection Online Access
description Over the years, many methods have been developed to predict settlement of shallow foundations on cohesionless soils. However, methods that have the desired degree of accuracy and consistency have not yet been developed. In this book, one of the most common artificial intelligence techniques, i.e. artificial neural networks (ANNs), is investigated for settlement prediction. A number of issues in relation to ANN construction, optimisation and validation are investigated, and guidelines for improving ANN performance are developed. Settlement analysis is often affected by considerable levels of uncertainties that are usually ignored by traditional methods. In this book, probabilistic solutions based on deterministic ANN settlement predictions are developed so that the uncertainties associated with the settlement analysis are considered. A set of probabilistic design charts that provide the designer with the level of risk associated with predicted settlements are produced and presented. This book is intended for civil engineering postgraduates, civil engineers working in modelling and geotechnical engineers working in design of foundations.
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spelling curtin-20.500.11937-269502017-01-30T12:56:12Z Settlement of Shallow Foundations on Cohesionless Soils Shahin, Mohamed Over the years, many methods have been developed to predict settlement of shallow foundations on cohesionless soils. However, methods that have the desired degree of accuracy and consistency have not yet been developed. In this book, one of the most common artificial intelligence techniques, i.e. artificial neural networks (ANNs), is investigated for settlement prediction. A number of issues in relation to ANN construction, optimisation and validation are investigated, and guidelines for improving ANN performance are developed. Settlement analysis is often affected by considerable levels of uncertainties that are usually ignored by traditional methods. In this book, probabilistic solutions based on deterministic ANN settlement predictions are developed so that the uncertainties associated with the settlement analysis are considered. A set of probabilistic design charts that provide the designer with the level of risk associated with predicted settlements are produced and presented. This book is intended for civil engineering postgraduates, civil engineers working in modelling and geotechnical engineers working in design of foundations. 2010 Book http://hdl.handle.net/20.500.11937/26950 Lambert Academic Publishing AG & Co KG restricted
spellingShingle Shahin, Mohamed
Settlement of Shallow Foundations on Cohesionless Soils
title Settlement of Shallow Foundations on Cohesionless Soils
title_full Settlement of Shallow Foundations on Cohesionless Soils
title_fullStr Settlement of Shallow Foundations on Cohesionless Soils
title_full_unstemmed Settlement of Shallow Foundations on Cohesionless Soils
title_short Settlement of Shallow Foundations on Cohesionless Soils
title_sort settlement of shallow foundations on cohesionless soils
url http://hdl.handle.net/20.500.11937/26950