Computational Technology Resources - CCP

I.E.G. Davey-Wilson and K. Mistry

School of Construction and Earth Sciences, Oxford Brookes University, Oxford, UK

doi:10.4203/ccp.35.7.1

I.E.G. Davey-Wilson, K. Mistry, "An Intelligent Database to Predict Geotechnical Parameters", in B.H.V. Topping, (Editor), "Developments in Artificial Intelligence for Civil and Structural Engineering", Civil-Comp Press, Edinburgh, UK, pp 105-111, 1995. doi:10.4203/ccp.35.7.1

Abstract

This paper describes a computerised prediction system for geotechnical parameters, GeoPredictor. At the preliminary design stage of a construction project, detailed information from a ground investigation may not be available. Consequently, suitable geotechnical parameters for use in a ground engineering or foundation design may be imprecise. This system aids the preliminary design process by predicting geotechnical parameters in two ways, given a brief description of some site and ground details. Firstly by using Case-Based Reasoning techniques to consult a data base containing ground investigation data, and secondly by using functions derived from correlations between different geotechnical parameters.

purchase the full-text of this paper (price £20)

go to the previous paper
go to the next paper
return to the table of contents
return to the book description
purchase this book (price £65 +P&P)

	Computational & Technology Resources an online resource for computational, engineering & technology publications
	not logged in - login
Front Page Browse CCP CSETS CTR IJRT Other Authors Search Purchase Guide FAQ Contact us	Civil-Comp Proceedings ISSN 1759-3433 CCP: 35 DEVELOPMENTS IN ARTIFICIAL INTELLIGENCE FOR CIVIL AND STRUCTURAL ENGINEERING Edited by: B.H.V. Topping Paper VII.1 An Intelligent Database to Predict Geotechnical Parameters I.E.G. Davey-Wilson and K. Mistry School of Construction and Earth Sciences, Oxford Brookes University, Oxford, UK doi:10.4203/ccp.35.7.1 purchase the full-text of this paper Full Bibliographic Reference for this paper I.E.G. Davey-Wilson, K. Mistry, "An Intelligent Database to Predict Geotechnical Parameters", in B.H.V. Topping, (Editor), "Developments in Artificial Intelligence for Civil and Structural Engineering", Civil-Comp Press, Edinburgh, UK, pp 105-111, 1995. doi:10.4203/ccp.35.7.1 Abstract This paper describes a computerised prediction system for geotechnical parameters, GeoPredictor. At the preliminary design stage of a construction project, detailed information from a ground investigation may not be available. Consequently, suitable geotechnical parameters for use in a ground engineering or foundation design may be imprecise. This system aids the preliminary design process by predicting geotechnical parameters in two ways, given a brief description of some site and ground details. Firstly by using Case-Based Reasoning techniques to consult a data base containing ground investigation data, and secondly by using functions derived from correlations between different geotechnical parameters. purchase the full-text of this paper (price £20) go to the previous paper go to the next paper return to the table of contents return to the book description purchase this book (price £65 +P&P)
Back to top	©Civil-Comp Limited 2023 - terms & conditions