TITLE:
Knowledge-Based Systems for the Assessment and Management of Bridge Structures: A Review
AUTHORS:
Ayaho Miyamoto
KEYWORDS:
Knowledge-Based System, Infrastructure, Bridge, Maintenance, Management, Expert System, Reliability, Neural Network, Fuzzy Reasoning, Genetic Algorithm
JOURNAL NAME:
Journal of Software Engineering and Applications,
Vol.14 No.10,
September
30,
2021
ABSTRACT: It is becoming an important social problem to make maintenance and
rehabilitation of existing infrastructures such as bridges, buildings, etc. in
the world. The kernel of such structure management is to develop a method of
safety assessment on items which include
remaining life and load carrying capacity. The purpose of this paper is to
summarize the finding of up-to-date research articles concerning the
application of knowledge-based systems to assessment and management of
structures and to illustrate the potential of such systems in the structural
engineering. In here, knowledge-based systems include knowledge-based expert
systems incorporation withartificial neural networks,
fuzzy reasoning and genetic or immune algorithms. Specifically, two modern bridge management systems
(BMS’s) are presented in the paper. The first is a BMS to assess the
performance and derive optimal strategies for inspection and maintenance of
concrete bridge structures using reliability based and knowledge-based systems.
The second is the concrete bridge rating expert system (J-BMS BREX) to
evaluate the performance of existing bridges by incorporating with artificial
neural networks and fuzzy reasoning.