Development of Bridge Management System (BMS) and Multi-objective Optimization of Maintenance Planning for Exising Bridges using Genetic Algorithm (GA)

近年来，由于交通量的增加、车辆重量的增加和结构老化等因素，在许多发达国家，许多公路桥多年来严重恶化。在日本，一份报告显示，在大约10年后，大约2010年，达到50年的桥梁比例将达到35%左右，因为许多公路桥梁是通过1955年左右启动的国家公路网项目建造的。因此，至关重要的是，这些桥梁应根据其恶化的严重程度进行修复或加强。尽管存在问题，但由于资金有限，有必要将资金平均分配给维修老化的桥梁和建造新的桥梁。因此，日本指出了开发实用桥梁管理系统的必要性，因为现有桥梁的维护已成为社会关注的主要问题。这个系统的目标是协助决策者和行政部门完成他们的工作。本研究试图开发一个基于生命周期分析的既有混凝土桥梁修复策略决策支持系统（新开发的与混凝土桥梁评级专家系统集成的桥梁管理系统J-BMS）。该系统不仅能够评估现有桥梁构件的使用能力，而且能够提供基于维护成本最小化和质量最大化方法相结合的策略。为解决这一优化问题，采用了遗传算法。将这些算法应用于优化问题，采用遗传算法。将这些算法应用于优化问题，可以快速找到近似最优解（恢复策略）。此外，还介绍了一些现有混凝土桥梁的应用，以证明所提出的桥梁管理系统的适用性。结果表明，该系统能够估计桥梁构件的退化情况，并提出各种修复策略。少

Recently, due to such factors as the increase in traffic volume, the increase in the weights of vehicles and the structural aging, many highway bridges have seriously deteriorated over the years in many advanced countries. In Japan, one report shows that in about 10 years from now, around 2010, the ratio of the bridges which will reach 50 years of age will be about 35% since many highway bridges have been constructed through the national highway networks' project launched around 1955. Thus, it is essential that those bridges should be repaired or strengthened depending on the seriousness of their deterioration. Despite the problem, since the limited, it is necessary for the funds to be split equally for both maintaining the deteriorated bridges and constructing the new ones. For this reason, the necessity of developing a practical bridge management system has been pointed out in Japan, because the maintenance of existing bridges has become major social concern. The goal of this system … More is to assist the decision-makers and the administration in doing their job.This study attempted to develop a decision support system for rehabilitation strategies of existing concrete bridges based on life cycle analysis (newly developed Bridge Management System(J-BMS) integrated with the Concrete Bridge Rating Expert System). This proposed system is able to not only evaluate the serviceability of existing bridge members, but also offer some strategies based on a combination of maintenance cost minimization and quality maximization approach. For solving this optimization problem, the Genetic Algorithms were adopted. By applying these algorithms to the optimization problem, the Genetic Algorithms were adopted. By applying these algorithms to the optimization problem, the approximation optimal solution (rehabilitation strategy) could be quickly found. Moreover, applications to some existing concrete bridges were presented so as to demonstrate the suitability of proposed bridge management system. As a result, it was verified that this proposed system is able to estimate the deterioration of bridge members and present various rehabilitation strategies. Less