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Knowledge-Based Assistance for the Analysis, Design and Optimization of Civil Structures

Smith, H. A. and Masri, S. and Beck, J. L. and Tsugawa, T. (1995) Knowledge-Based Assistance for the Analysis, Design and Optimization of Civil Structures. In: Developments in Artificial Intelligence for Civil and Structural Engineering. Civil-Comp Press , Edinburgh, UK, pp. 183-196. http://resolver.caltech.edu/CaltechAUTHORS:20120926-102521915

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Abstract

An on-going project is described which has as its goal the development of an Al-based software package to assist in structural analysis and optimal design while explicitly treating uncertain risks. For preliminary design of a proposed structural system, it is desirable to search through a large design space to evaluate possible choices on the basis of multiple criteria, so that the most promising choice can be selected for detailed design. The goal of this project is to increase efficiency, fully integrate, and partially automate the design/build decision process by using AI- based methodologies such as knowledge-base expert systems, object-oriented programming, fuzzy reliability, multi-criteria decision theory and stochastic optimization. The methodology developed in this 11tudy allows the user to rapidly evaluate and improve a proposed conceptual design while taking into account the major factors affecting decisions related to design, construction, and operation in the presence of uncertain risk. These factors include not only structural engineering criteria, but also social, political, legal, and economic considerations. The first stage of this on-going project involved the development of a working prototype of an interfaced suite of knowledge-base expert systems consisting of analysis, design and optimization tools with user interactive features. The second stage of the project involves extending the capabilities of the software tools and introducing au explicit treatment of risk.


Item Type:Book Section
Additional Information:Copyright ©1995 CIVIL-COMP PRESS, Edinburgh, UK. This study was supported in part by a grant from California Universities for Research in Earthquake Engineering under the CUREe-Kajima Research Program. The assistance of graduate students E. Chan, V. Vance and W. Xu in various phases of the study is appreciated.
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Funding AgencyGrant Number
California Universities for Research in Earthquake Education CUREe-Kajima Research ProgramUNSPECIFIED
Record Number:CaltechAUTHORS:20120926-102521915
Persistent URL:http://resolver.caltech.edu/CaltechAUTHORS:20120926-102521915
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:34431
Collection:CaltechAUTHORS
Deposited By: Carmen Nemer-Sirois
Deposited On:09 Nov 2012 00:41
Last Modified:09 Nov 2012 00:41

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