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基于遗传算法的碾压混凝土重力坝温度场多测点反演

Multi-measurement point inversion of temperature field of roller-compacted concrete gravity dam based on genetic algorithm
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摘要 由于碾压混凝土重力坝施工现场条件复杂,实验获得的参数与实际参数存在一定的差异。为获得高精度的温度场仿真结果,根据某碾压混凝土重力坝现场实测温度数据,利用遗传算法反演该碾压混凝土坝的绝热温升Q 0、温升常数n和导热系数λ,并运用所得的反演参数进行温度场仿真模拟分析,对比不同测点个数下反演所得参数的可靠性和精确性。结果表明:通过遗传算法进行参数反演可有效提高反演的速度与精度,并且反演所依据的测点个数越多反演结果越接近实测数据,9个测点反演比3个测点反演误差减少了1.43%,比6个测点反演误差减少了0.44%。因此,在利用遗传算法进行参数反演时应尽量选择较多的测点个数,以提高仿真计算的精度。研究结果可为碾压混凝土重力坝热学参数反演提供理论指导和依据。 Due to the complex conditions of RCC gravity dam construction sites,the parameters obtained by experiments are not necessarily consistent with the actual parameters.Therefore,in order to obtain high accuracy simulation results of temperature field,the adiabatic temperature rise Q 0,temperature rise constant n and thermal conductivityλof RCC gravity dam were inverted by the genetic algorithm based on the field measured temperature data.Then,the inversed parameters were used for temperature field simulation and analysis,and the reliability and accuracy of the inversed parameters under different number of measurement points were compared.The findings indicate that the genetic algorithm can effectively enhance the speed and accuracy of the inversion.Moreover,the inversion results are more closely aligned with the measured data when a greater number of measuring points is utilized,the inversion error of nine measuring points is reduced by 1.43%compared with three measuring points,and 0.44%compared with six measuring points.Therefore,when using the genetic algorithm for parameter inversion,more measurement points should be selected to improve the accuracy of simulation calculation.The research results can provide a theoretical guidance and basis for thermal parameter inversion of RCC gravity dams.
作者 黄灵芝 张朝森 司政 陈思琦 HUANG Lingzhi;ZHANG Chaosen;SI Zheng;CHEN Siqi(State Key Laboratory of Eco-hydraulics in Northwest Arid Region of China,Xi’an 710048,China;School of Water Resources and Hydropower,Xi’an University of Technology,Xi’an 710048,China;Sichuan Longzuo Engineering Consulting Co.,Ltd.,Chengdu 610200,China)
出处 《水资源与水工程学报》 CSCD 北大核心 2024年第4期83-91,共9页 Journal of Water Resources and Water Engineering
基金 国家自然科学基金项目(51879217)。
关键词 碾压混凝土重力坝 温度场 遗传算法 反演分析 有限元仿真 roller-compacted concrete gravity dam temperature field genetic algorithm inversion analysis finite element simulation
作者简介 黄灵芝(1982-),女,湖北松滋人,博士,副教授,硕士生导师,主要从事水工结构安全评价等方面的研究。
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