Structural Reliability Through Machine Learning From Case Histories

by John R. Stone, Univ of Bristol, United Kingdom,
David I. Blockley, Univ of Bristol, United Kingdom,



Document Type: Proceeding Paper

Part of: Structural Safety and Reliability

Abstract:

The development of a management tool for the control of structural safety is described. Artificial intelligence techniques of 'machine learning' are employed to facilitate a method of learning from past experience. The serial and parallel approaches of discrimination and connectivity analysis are employed. A technique for building a hierarchically structured knowledge base made up from the study of individual case histories is outlined. Support logic is used to permit an 'open world' representation of uncertainty.

Subject Headings: Artificial intelligence (AI) | Structural safety | Case studies | Structural reliability | Knowledge-based systems | Computer programming | Wood structures

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