Abstract
This paper describes a knowledge based system for the diagnosis of the causes of cracking in buildings. Given a building which has suffered cracking, the system diagnoses the possible causes of this cracking and ranks them in order of likelihood of occurance according to the most likely ones.
The system comprises an inference engine, a situation model and a knowledge base. The ‘production rules’ form of knowledge representation is used. This was found to be suitable for the particular problem of the diagnosis of cracking in buildings.
The knowledge base comprises rules and meta-rules. Each rule has as its goal a cause of cracking. The meta-rules are used to select, prior to the detailed investigation, those rules which are likely to be applicable for the particular problem.
The system uses a probability technique developed to deal with uncertainty in the problem of the diagnosis of causes of cracking.
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© 1992 Springer Science+Business Media Dordrecht
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May, I.M., Tizani, W. (1992). A Knowledge Based System for the Diagnosis of the Causes of Cracking in Buildings. In: Topping, B.H.V. (eds) Optimization and Artificial Intelligence in Civil and Structural Engineering. NATO ASI Series, vol 221. Springer, Dordrecht. https://doi.org/10.1007/978-94-017-2492-0_14
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DOI: https://doi.org/10.1007/978-94-017-2492-0_14
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