Abstract: The multiple regression and particle swarm algorithm were applied to establish the optimization model with integration control of three objectives, including the effect of preventive maintenance, maintenance costs and prolonging the service life of durability. A bridge of preventive maintenance life cycle cost model and a bridge deterioration preventing and curing cycle mathematical model based on extended maintenance durability were established. SPSS was used to calculate the curing effect of fixed number of the durability life extension and maintenance costs of multivariate regression equation, and the particle swarm algorithm was used to obtain the optimal solution, which realized the integration control of the three objectives of the preventive maintenance of the bridge. Through practical engineering validation, it is shown that the proposed results can provide the reference for bridge preventive maintenance time and the choice of its costs.

Key words: bridge engineering, bridge preventive maintenance, effect-cost-life, optimization

摘要： 应用多元回归和微粒群算法，构建了桥梁预防性养护效果、养护成本、耐久性寿命延长这3大目标综合集成控制的优化模型；建立了桥梁预防性养护全寿命周期费用模型和基于构件劣化的桥梁预防性养护耐久性寿命延长及养护周期数学模型；运用SPSS计算出养护效果对耐久性寿命延长年限和养护成本的多元回归方程，利用微粒群算法求得最优解，实现了桥梁预防性养护这3大目标的集成控制。实际工程验证表明：研究结果可为桥梁预防性养护时机和成本的选择提供参考和借鉴

关键词: 桥梁工程, 桥梁预防性养护, 效果-成本-寿命, 优化