The author has been developing a practical Bridge Management System that is referred to as the Japanese Bridge Management System (J-BMS), integrated with the Concrete Bridge Rating Expert System (BREX) that can be used to evaluate the serviceability of existing concrete bridges. The J-BMS uses multi-layered neural networks to predict deterioration processes in existing bridges, construct an optimal maintenance plan for repair and/or strengthening measures based on minimizing life-cycle cost and maximizing quality, and also estimates the maintenance cost. In this system, the Genetic Algorithm (GA) technique was used to search for an approximation of the optimal maintenance plan. In this paper, it will be demonstrated how the J-BMS works on a computer by using some screen displays. In addition, by applying this system to an existing bridge, its effectiveness is demonstrated.

  • Introduction

  • Description of Bridge Management System (J-BMS)

  • J-BMS Functions and Practical Application

  • Concluding Remarks

  • References

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