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Neural Network System for Reasoning Residual Axial Forces of High‐Strength Bolts in Steel Bridges
Author(s) -
Mikami Ichizou,
Tanaka Shigenori,
Hiwatashi Tatsuya
Publication year - 1998
Publication title -
computer‐aided civil and infrastructure engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.773
H-Index - 82
eISSN - 1467-8667
pISSN - 1093-9687
DOI - 10.1111/0885-9507.00102
Subject(s) - hammer , residual , structural engineering , artificial neural network , engineering , residual strength , shipbuilding , computer science , artificial intelligence , algorithm , archaeology , history
High‐strength bolts of steel bridges gradually loosen in service. They have to be inspected periodically by experts with hammers. Mitsui Engineering & Shipbuilding Company, Ltd., developed an automatic looseness detector of high‐strength bolts. It is not meant to measure the residual axial forces of the bolts, however. In the present study, a system to reason the residual axial forces of high‐strength bolts of steel bridges was built based on a neural network with the faculty of pattern recognition, and its reasoning accuracy was verified.