CUED Publications database

Introduction to the development of an information management system for soil mix technology using artificial neural networks

Shrestha, R and Al-Tabbaa, A (2011) Introduction to the development of an information management system for soil mix technology using artificial neural networks. Geotechnical Special Publication. pp. 816-825. ISSN 0895-0563

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Abstract

This paper introduces current work in collating data from different projects using soil mix technology and establishing trends using artificial neural networks (ANNs). Variation in unconfined compressive strength as a function of selected soil mix variables (e.g., initial soil water content and binder dosage) is observed through the data compiled from completed and on-going soil mixing projects around the world. The potential and feasibility of ANNs in developing predictive models, which take into account a large number of variables, is discussed. The main objective of the work is the management and effective utilization of salient variables and the development of predictive models useful for soil mix technology design. Based on the observed success in the predictions made, this paper suggests that neural network analysis for the prediction of properties of soil mix systems is feasible. © ASCE 2011.

Item Type: Article
Uncontrolled Keywords: Compressive strength Information management Information systems Neural networks Soil mixing
Subjects: UNSPECIFIED
Divisions: Div D > Geotechnical and Environmental
Depositing User: Cron Job
Date Deposited: 07 Mar 2014 12:04
Last Modified: 27 Nov 2014 19:19
DOI: 10.1061/41165(397)84