受限空间下大型泵站拆改方案多目标优化研究

    Research on multi-objective optimization of large pumping station demolition and renovation scheme in confined space

    • 摘要: 受功能变化、旧有设施老化和新技术应用影响,包括泵站在内的老旧水利设施的拆除和改造工程越来越多,而拆改工程受施工空间、规模、工艺、周边环境干扰等因素的影响限制,施工难度与安全要求很高,为此提出了受限空间条件下拆改方案的多目标优化方法。首先构建了考虑安全和空间影响的拆改方案优化目标函数,选取满足空间限制条件的结构拆除尺寸参数作为设计变量,建立了受限空间下大型泵站拆改方案优化模型;然后以凤凰颈大型泵站进水流道层拆改为工程实例,通过将ISIGHT优化软件与ABAQUS有限元软件结合和二次开发,基于NSGA-Ⅱ算法计算获得拆改方案优化结果Pareto解集。结果表明:安全指标与空间影响指标较原始方案最大优化率分别为37.801%和35.015%,所提方法优化效果显著。相关经验可供类似工程的拆改方案优化参考。

       

      Abstract: Affected by functional changes, aging of existing facilities, and the application of new technologies, there is an increasing number of demolition and renovation projects involving old water conservancy facilities, including pumping stations.However, these projects are often constrained by limited construction space, scale, technical processes, and interference from the surrounding environment, making them highly challenging in terms of construction difficulty and safety requirements.To address these issues, this paper proposes a multi-objective optimization method for demolition and renovation schemes in confined spaces.First, an objective function for optimizing the demolition and renovation scheme was established, taking into account safety and spatial impacts.The structural demolition size parameters that satisfy spatial constraints were selected as design variables, and an optimization model for the demolition and renovation of large pumping stations in confined spaces was developed.Subsequently, using the intake channel layer of the Fenghuangjing Large-Scale Pumping Station as an engineering case study, the Pareto solution set for the optimized demolition and renovation scheme was obtained by integrating ISIGHT optimization software with ABAQUS finite element software and applying secondary development based on the NSGA-Ⅱ algorithm.The results demonstrate that, compared to the original scheme, the maximum optimization rates for the safety index and spatial impact index reached 37.801% and 35.015%, respectively, indicating a significant improvement achieved by the proposed method.The relevant experience can serve as a valuable reference for optimizing similar projects.

       

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