DEVELOPMENT AND PRACTICAL APPLICATION OF A BRIDGE MANAGEMENT SYSTEM (J-BMS) IN JAPAN

This paper presents a new bridge management system (J-BMS). It is integrated with a concrete bridge rating expert system that can be used to evaluate the serviceability of existing concrete bridges. The proposed J-BMS not only evaluates the performance of bridges, but also offers a rehabilitation strategy based on a combination of maintenance cost minimization and quality maximization. In this system, the genetic algorithm (GA) technique was used to search for an approximation of the optimal maintenance plan. This was constructed using Visual Basic and the C language. Furthermore, this paper examines the results of applying this system to some in-service bridges and the results of questionnaire surveys of experts. A comparison of these results shows that this system can accurately predict optimal maintenance planning, as well as bridge rating.

[1]  Ayaho Miyamoto,et al.  STRUCTURAL SAFETY EVALUATION AND REMAINING LIFE PREDICTION OF CONCRETE BRIDGES BASED ON STATISTICAL ANALYSIS , 1994 .

[2]  Ayaho Miyamoto,et al.  Bridge maintenance strategy based on life-cycle cost and rebuild cost stabilization , 2008 .

[3]  Ayaho Miyamoto,et al.  Performance Evaluation and Remaining Life Prediction of an Aged Bridge by J-BMS☆ , 2014 .

[4]  Hugh Hawk,et al.  The BRIDGIT Bridge Management System , 1998 .

[5]  Ayaho Miyamoto,et al.  Practical application of bridge rating expert system to an aged bridge , 2014, 2014 Science and Information Conference.

[6]  Yasuo Chikata,et al.  AN APPROACH TO REPAIR PLANNING OF EXISTING BRIDGES BY GENETIC ALGORITHM , 1995 .

[7]  Ayaho Miyamoto,et al.  DEVELOPMENT OF BRIDGE MANAGEMENT SYSTEM (BMS) , 1997 .

[8]  Ayaho Miyamoto,et al.  Condition state evaluation of existing reinforced concrete bridges using neuro-fuzzy hybrid system , 2003 .

[9]  Ayaho Miyamoto,et al.  Practical Application of Database System for Bridge Maintenance Management , 2003 .

[11]  Noboru Kimata,et al.  A FUNDAMENTAL STUDY ON EVALUATING SYSTEM OF BRIDGES FOR MAINTENANCE AND CONTROL PLANNING , 1991 .

[12]  Lawrence Davis,et al.  Using a genetic algorithm to optimize problems with feasibility constraints , 1994, Proceedings of the First IEEE Conference on Evolutionary Computation. IEEE World Congress on Computational Intelligence.

[13]  宮本 文穂,et al.  DIAGNOSIS OF REINFORCED CONCRETE SLABS FOR HIGHWAY BRIDGES , 1983 .

[14]  Marja-Kaarina Söderqvist,et al.  THE FINNISH BRIDGE MANAGEMENT SYSTEM , 1993 .

[15]  Mitsuo Gen,et al.  Genetic algorithms and engineering design , 1997 .

[16]  Ayaho Miyamoto,et al.  Maintenance plan optimization system for existing concrete bridge groups , 2006 .

[17]  Ayaho Miyamoto,et al.  Development of a bridge management system for existing bridges , 2001 .

[18]  Ayaho Miyamoto,et al.  MULTIOBJECTIVE OPTIMIZATION OF MAINTENANCE PLANNING FOR EXISTING BRIDGES BY USING BRIDGE MANAGEMENT SYSTEM (BMS) , 1998 .

[19]  Dan M. Frangopol,et al.  Performance evaluation of concrete slabs of existing bridges using neural networks , 2003 .

[20]  David E. Goldberg,et al.  Genetic Algorithms in Search Optimization and Machine Learning , 1988 .

[21]  Allen R. Marshall,et al.  The PONTIS bridge management system , 1998 .

[22]  Changqin Liu,et al.  Maintenance Strategy Optimization of Bridge Decks Using Genetic Algorithm , 1997 .

[23]  Zbigniew Michalewicz,et al.  A Survey of Constraint Handling Techniques in Evolutionary Computation Methods , 1995 .