考虑结构安全的桩基码头清淤施工方案优化  

Optimization of desilting construction scheme for pile foundation wharves considering structural safety

作　　者：赵煜 蔡忠志 尤再进 隋意 ZHAO Yu;CAI Zhongzhi;YOU Zaijin;SUI Yi(Collaborative Innovation Center for Port and Shipping Security,Dalian Maritime University,Dalian 116026,China)

机构地区：[1]大连海事大学港口与航运安全协同创新中心,辽宁大连116026

出　　处：《水利水运工程学报》2024年第5期10-21,共12页Hydro-Science and Engineering

基　　金：国家重点研发计划资助项目(2021YFB2601100)。

摘　　要：中国沿海粉砂质海岸桩基码头下方普遍存在的严重泥沙回淤问题,导致码头桩基受损和高昂泥沙清淤成本。将桩基受力的有限元分析方法与港口运营管理的运筹学方法相结合,以大型沿海桩基码头泥沙清淤工程为原型,开展桩基码头的清淤施工方案优化研究,分别建立码头桩基-岸坡土体结构体系的有限元数值模型,以及综合考虑清淤成本、安全、效率的港口清淤施工方案优化数学模型,并应用基于强化学习改进的遗传算法求解得到最优清淤方案。方案在充分考虑结构安全的前提下,有效降低了清淤成本,可为港口清淤提供依据。The severe issue of sediment redeposition under pile foundation wharves along China’s silty coastal shores leads to damage to the pile foundations and high silt dredging costs.By integrating the finite element analysis method of pile foundation stress with operational research methods of port management,and taking large coastal pile foundation wharf silt dredging projects as prototypes,this study undertakes an optimization research on desilting construction strategies for pile foundation wharves.It establishes a finite element numerical model for the wharf pile foundationslope soil structure system,as well as an optimization mathematical model for port dredging construction strategies that comprehensively considers dredging costs,safety,and efficiency.The optimal dredging scheme was obtained using a genetic algorithm improved by reinforcement learning(DDQN-GA).The scheme effectively reduces dredging costs while fully considering structural safety,providing scientifically sound and rational dredging project recommendations for port management.

关 键 词：码头泥沙回淤 清淤施工方案 约束优化 DDQN-GA算法 

分 类 号：TV511[水利工程—水利水电工程]