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PROCEEDINGS OF THE SIXTH INTERNATIONAL CONFERENCE ON THE APPLICATION OF ARTIFICIAL INTELLIGENCE TO CIVIL AND STRUCTURAL ENGINEERING
Edited by: B.H.V. Topping and B. Kumar
Knowledge-Based System Associated with Foundations in Expansive Soils
M.E.M. Hamadto+ and J. Oliphant*
+Arriyadh Development Authority, Kingdom of Saudi Arabia
M.E.M. Hamadto, J. Oliphant, "Knowledge-Based System Associated with Foundations in Expansive Soils", in B.H.V. Topping, B. Kumar, (Editors), "Proceedings of the Sixth International Conference on the Application of Artificial Intelligence to Civil and Structural Engineering", Civil-Comp Press, Stirlingshire, UK, Paper 12, 2001. doi:10.4203/ccp.74.12
Keywords: expansive soils, knowledge base, artificial intelligence, swelling, foundations, geotechnical, knowledge-based system.
In the past, computer aids for geotechnical engineering have been restricted to formal numerical analysis of well-defined problems or to subsidiary aids such as computer-aided drafting or text processing. More recently, some new types of computer aids have evolved, knowledge-based expert systems, which grew originally from research in artificial intelligence. These expert systems are computer programs, which originally were intended to mimic the performance of a human expert in a limited problem domain.
Many expert systems have been implemented to solve problems that are some form of diagnostic reasoning, ranging from medical diagnosis to troubleshooting generators, locomotives, and telephone networks[1,2]. Much of the knowledge in expert systems is heuristic in nature (consists of rules of thumb that are often, but not always, true).
Geotechnical engineering inevitably involves the use of engineering judgement and dealing rationally with considerable uncertainty. Because of the inherent heterogeneity of most soil deposits and complicated constitutive relations that apply to geologic materials, the primary task confronting the geotechnical engineer typically involves defining and formulating problems that are at once tractable and realistic. Knowledge-based systems can be useful in situations which involve expert judgements for effective problem solving, as is so often the case in geotechnical engineering.
Many researchers have applied knowledge-based systems to the field of geotechnical engineering[3,4]. Due to the heuristic nature of the domain of foundations in expansive soils, the uncertainties associated with the problem of foundations in expansive clays and the need for an expert opinion justify the application of knowledge-based systems. Prior to arriving at a final foundation design in an expansive clay site, the following steps must be taken by the geotechnical engineer:
This paper describes how the knowledge based system associated with foundations in expansive soils (FESAID) was developed using the CONFOUND shell. The system was developed to aid in the following processes:
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