西南交通大学学报2026，Vol.61Issue(2)：561-571,11.DOI:10.3969/j.issn.0258-2724.20240012
基于元遗传算法的石拱桥传感器优化布置及评价方法
Optimal Sensor Placement and Evaluation Method of Stone Arch Bridge Based on Meta-Genetic Algorithm
摘要
Abstract
To develop an optimal sensor placement method for ancient stone arch bridges,by taking the Beijing Lugou Bridge,a national key cultural relics protection unit,as an example,a sensor optimization model considering initial damage and random material parameters was established.A fitness function design and solution method considering complex monitoring targets was proposed,along with a meta-genetic algorithm based on the concept of meta-learning for solving the sensor placement optimization problem.The proposed method was compared with two optimization methods based on conventional genetic algorithms,achieving optimal sensor placement for ancient stone arch bridges.The results show that the proposed method offers better parameter identification capability,damage sensitivity,and information redundancy level.When the noise level is within 5％,the sensor placement scheme given by the meta-genetic algorithm can successfully detect the damage,while the other two methods achieve only a 60.0％success rate.When the noise level reaches 10％,the meta-genetic algorithm can detect 60.0％of the damage,while the other two methods fail to detect damage effectively.关键词
石拱桥/建筑遗产/传感器优化布置/遗传算法/损伤检测Key words
stone arch bridge/architectural heritage/optimal sensor placement/genetic algorithm/damage detection分类
建筑与水利引用本文复制引用
张承文,淳庆,花全均,林怡婕,崔哲魁..基于元遗传算法的石拱桥传感器优化布置及评价方法[J].西南交通大学学报,2026,61(2):561-571,11.基金项目
国家重点研发计划(2023YFF0906100) （2023YFF0906100）
江苏省自然科学基金项目(BK20241347) （BK20241347）
