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Rapid Identification of High Risk Building in Seismic Regions Using Expert Systems

by Auguste C. Boissonnade, Stanford Univ, Stanford CA, USA,
Weimin M. Dong, Stanford Univ, Stanford CA, USA,
Howard Thurston, Stanford Univ, Stanford CA, USA,



Document Type: Proceeding Paper

Part of: Techniques for Rapid Assessment of Seismic Vulnerability

Abstract:

Seismic risk evaluation is a complex problem because it involves many factors such as ground motion, ground failure potential and structural performance with great uncertainties. Many of these factors are difficult to measure and to quantify precisely. A seismic risk evaluation is therefore made of complex rules which are based on experience and thus is a candidate to be implemented on an expert system. The different factors, or attributes, necessary to perform the identification of hazardous buildings are identified and represented in a knowledge base. This knowledge base is then implemented in knowledge-based expert systems which are used to assess the seismic risk levels of structures. These systems are validated with several types of buildings.

Subject Headings: Seismic effects | Seismic tests | Expert systems | Earthquake resistant structures | Risk management | Knowledge-based systems | Artificial intelligence (AI)

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