Shigenori Tanaka, Ichizou Mikami
A kbes combining cbr and rbr
to select repalr and retftoflt methods for fatigue damage
on steel bridges
Abstract: We have studied the knowledgebased expert system (KBES) to select repairing and retrofitting
methods for fatigue damage of steel bridges. The case-based reasoning (CBR) system can solve the
problem of howledge acquisition and perform efficient inference based on similar cases, w h e m the
rulebased reasoning (RBR) system has the difficulty in acquiring knowledge bases.
In the present paper, we constructed a KBES, in whicb CBR and RBR were combined, to select
repairing and retrofitting methods for steel bridges‘ fatigue damage. The inference results obtained
from this system are discussed to prove its usefulness, and subjects for the future are identified.
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