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 with artificial 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.
Highlights
In the field of structure management engineering, a great deal of decision making often depends on the judgment and experience of the domain experts in related fields, such as technologists and engineers
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
bridge management systems (BMS’s) for prestressed concrete bridges, steel bridges, or composite bridges can be developed in a similar way
Summary
In the field of structure management engineering, a great deal of decision making often depends on the judgment and experience of the domain experts in related fields, such as technologists and engineers. Since the necessity of developing a computer-aided structure assessment and management system has been pointed out for maintenance, diagnosis, repair and rehabilitation of existing structures [1]. In the processes of the structure assessment and management are included a subjective uncertainty of the domain experts such as professional experience, knowledge on structure management, etc. Some results from the research project “Assessment of Performance and Optimal Strategies for Inspection and Maintenance of Concrete. The main objective of the project was to optimize strategies for inspection, maintenance and repair of reinforced concrete bridges by developing improved methods for modelling the deterioration of existing as well as future structures using reliability based methods and knowledge based systems. Reliability assessment: In this bridge management system the probability of failure is estimated using the reliability program RELIAB.
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