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首页> 外文期刊>Water Resources Management >Optimal Design of Detention Rockfill Dams Using a Simulation-Based Optimization Approach with Mixed Sediment in the Flow
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Optimal Design of Detention Rockfill Dams Using a Simulation-Based Optimization Approach with Mixed Sediment in the Flow

机译:基于模拟混合流中沉积物的优化方法对滞洪堆石坝的优化设计

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Detention rockfill dams are generally known as economic and efficient structural methods for flood mitigation and watershed management. Despite the existing studies in the context of rockfill dam design, designers still rely on time-consuming and costly experimental tests which can only lead into practical guidelines. Moreover, investigation of various rockfill dam design alternatives in terms of hydraulic performance needs an exhaustive framework to obtain the optimal design values. With respect to these, this research study aims to investigate the optimal dam thickness and mean diameter of coarse aggregates in detention rockfill dams in order to improve the hydraulic characteristics, e.g., reduction in flood peak discharge and increase in flood duration while the construction cost is minimized. Here, a methodology based on data-driven simulation model, multi-objective optimization model, multi-criterion decision making model, and social choice method is suggested to find the optimal design parameters of detention rockfill dam. This methodology adapts data to model and model to optimum design variables. Experimental results are converted to data-driven simulation model based on multilayer perceptron neural network, which can model the relationship between design variables of detention rockfill dam and parameters of flood hydrograph. The simulation model is used in a robust multi-objective optimization algorithm, non-dominated sorting genetic algorithm-ΙΙ (NSGA-ΙΙ), to establish a trade-off between the conflicting objectives. Eventually, PROMETHEE decision making model and Borda count social choice method are used to find the best agreed-upon design optimal point on the trade-off curve. Results indicate that the best non-dominated solution can be considered as 10.01 and 5 cm for the optimum thickness of detention rockfill dam and optimum mean diameter of coarse aggregates in the porous media, respectively. The similar optimum characteristics of detention rockfill dam using PROMETHEE and Borda count social choice method depict the stable performance of the proposed methodology.
机译:蓄水堆石坝通常被称为减轻洪水和流域管理的经济有效的结构方法。尽管在堆石坝设计的背景下进行了现有研究,但设计人员仍然依赖耗时且昂贵的实验测试,而这只能引出实际指导原则。此外,就水力性能而言,对各种堆石坝设计替代方案的研究需要详尽的框架来获得最佳设计值。鉴于此,本研究旨在研究滞留堆石坝的最佳坝体厚度和粗骨料的平均直径,以改善水力特性,例如减少洪峰流量和增加洪水持续时间,同时降低建设成本。最小化。本文提出了一种基于数据驱动的仿真模型,多目标优化模型,多准则决策模型和社会选择方法的方法,以寻找滞洪堆石坝的最佳设计参数。这种方法使数据适应模型,并适应最佳设计变量。将实验结果转换为基于多层感知器神经网络的数据驱动的仿真模型,该模型可以建模滞洪堆石坝的设计变量与洪水水位参数之间的关系。该仿真模型被用于鲁棒的多目标优化算法,非支配排序遗传算法-II(NSGA-III)中,以在冲突目标之间建立折衷。最终,使用PROMETHEE决策模型和Borda计数社会选择方法在权衡曲线上找到最佳的商定设计最佳点。结果表明,对于滞留堆石坝的最佳厚度和多孔介质中粗骨料的最佳平均直径而言,最佳的非支配溶液可以分别视为10.01和5厘米。使用PROMETHEE和Borda计数社会选择方法的相似的滞留堆石坝最佳特性描述了所提出方法的稳定性能。

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