山区铁路桥隧工程关键节材要素均衡优化OA北大核心CSTPCD
Equilibrium optimization of key material-saving elements of railway bridge-tunnel engineering in mountain areas
为在经济可承受范围内提升山区铁路的节材性能,提出了一种基于NSGA-Ⅱ的关键节材要素双目标均衡优化方法.首先,以断面超挖、喷射混凝土类型选择、围岩变形预留、桩基扩孔、桩头超封5个桥隧工程关键节材要素为决策变量,以CO2减排量最大、建造成本增加值最小为优化目标,构建山区铁路桥隧工程关键节材要素均衡优化模型;其次,采用带精英策略的非支配排序遗传算法(NSGA-Ⅱ)求出Pareto均衡解集;再次,耦合主客观元素组合的综合赋权法与TOPSIS法对Pareto均衡解集进行科学决策,得到考虑决策者偏好的关键节材要素最佳组合,并分析决策者偏好对最佳组合的影响;最后,以某山区铁路工程某标段为例,系统地验证了该方法的科学性及适用性.研究结果表明:与优化前相比,最佳组合能实现CO2减排12.622万t,对应建造成本增加了24.833万元,优化效率达到50.826%.
In order to improve the material-saving performance of mountain railway within the affordable range,a double-objective equilibrium optimization of key material-saving elements based on NSGA-Ⅱ was proposed.Firstly,taking the five key material-saving elements of bridge-tunnel engineering as decision variables,including section over-excavation,shotcrete type selection,surrounding rock deformation reservation,pile foundation reaming and pile head over-sealing,and taking the maximum CO2 emission reduction and the minimum added value of construction cost as the optimization objectives,the equilibrium optimization model of key material-saving elements of mountain railway bridge-tunnel engineering was constructed.Secondly,the Pareto equilibrium solution set was obtained by non-dominated sorting genetic algorithm with elite strategy(NSGA-Ⅱ).Thirdly,comprehensive weighting method of subjective and objective elements combination and TOPSIS method were used to make scientific decisions on the Pareto equilibrium solution set.The optimal combination of key material saving factors considering decision maker's preference was obtained.The influence of decision makers'preference on the optimal combination was analyzed.Finally,taking a section of a mountain railway project as an example,the scientificity and applicability of the method were systematically verified.The results show that compared with the previous optimization,the optimal combination can achieve the CO2 emission reduction of 12.622×104 tons,the corresponding construction cost increases by 24.833×104 yuan,and the optimization efficiency reaches 50.826%.
鲍学英;肖岚月;万炳彤;李亚娟;贺振霞
兰州交通大学土木工程学院,甘肃兰州,730070兰州交通大学交通运输学院,甘肃兰州,730070
交通运输
山区铁路桥隧工程关键节材要素均衡优化NSGA-Ⅱ算法
mountain railwaybridge-tunnel engineeringkey material-saving elementsequilibrium optimizationNSGA-Ⅱ algorithm
《中南大学学报(自然科学版)》 2024 (003)
1146-1155 / 10
中央引导地方科技发展资金资助项目(22ZY1QA005);国家自然科学基金资助项目(51768034)(Project(22ZY1QA005)supported by the Central Government Guides Local Science and Technology Development Funding;Project(51768034)supported by the National Natural Science Foundation of China)
评论