山区铁路桥梁与区域环境耦合协调测度及优化调控

Measuring and Optimizing Coupling Coordination Between Railway Bridges in Mountainous Regions and the Regional Environment

山区铁路沿线地形复杂,桥梁占比高。为科学评估及优化山区铁路桥梁与区域环境协调状况,促进山区铁路桥梁与区域环境高质量协调发展,提出了一种山区铁路桥梁与区域环境耦合协调优化调控模型。在分析山区铁路桥梁与区域环境耦合作用的基础上,从设计视角构建山区铁路桥梁绿色设计要素及特征指标体系,并运用CRITIC法提取绿色设计关键要素;结合时间累积效应,以绿色设计关键要素为着手点,通过分析山区铁路桥梁可持续能力和环境承载水平,构建了山区铁路“桥梁-环境”复合系统耦合协调模型,对山区铁路桥梁与区域环境耦合协调程度进行测度,并以耦合协调指数最大化为目标函数建立反映“桥梁-环境”复合系统动态反馈机制的优化调控模型,运用粒子群优化算法求解,并提出了使山区铁路桥梁与区域环境向高质量协调发展的管控方案。优化结果表明,在保证“桥梁可持续能力≤环境承载水平”且获得偏离度最小的前提下,绿色设计关键要素优化比例分布于2%~40%,“桥梁-环境”耦合协调指数达到最大值622.4。该研究提高了桥梁与区域环境的协调发展水平,可为山区铁路桥梁与区域环境耦合协调状况评估及桥梁绿色设计提供新思路。

The terrain along the mountain railway is intricate,with a high proportion of bridges.To systematically evaluate and enhance the har-mony between mountain railway bridges and the regional environment,fostering their high-quality coordinated development,we propose a coupled coordination optimization and control model for mountain railway bridges and the regional environment.This model is based on an ana-lysis of the interplay between mountain railway bridges and the regional environment.We construct green design elements and a characteristic in-dex system for mountain railway bridges from a design perspective and utilize the CRITIC method to identify key elements of green design.In-corporating the cumulative effect of time,we analyze the sustainability of mountain railway bridges and the environmental carrying capacity,and develop a coupling coordination model for the mountain railway“bridge-environment”system,measuring the degree of coupling coordination between mountain railway bridges and the regional environment.By maximizing the coupling coordination index as the objective function,we es-tablish an optimal regulation model that reflects the dynamic feedback mechanism of the“bridge-environment”system.This model is solved us-ing the particle swarm optimization algorithm,and a control scheme is proposed to guide the coordinated development of mountain railway bridges and the regional environment towards high quality.Our optimization results indicate that,while ensuring“bridge sustainability≤environ-mental carrying level”and minimizing deviation,the optimization ratio of key green design elements ranges from 2%to 40%,resulting in a max-imum coupling coordination index of 622.4 for the“bridge-environment”system.This study enhances the coordinated development of bridges and the regional environment,offering fresh perspectives for assessing the coupled coordination status of mountain railway bridges and the re-gional environment,as well as for green bridge design.