考虑测点灵敏度的大体积混凝土热学参数反演方法研究
发布时间：2019-01-18 21:02
【摘要】：针对大体积混凝土热学参数反演精度受测点选择及优化算法的稳定性影响较大的问题,本文提出了采用灵敏度最高的原则优选热学参数反演测点的方法,通过热流耦合算法计算大体积混凝土施工期温度场,对各测点温度进行灵敏度分析,优选出温度对参数变化最灵敏的测点;并引入逐步缩小搜索空间的方法改进遗传算法,根据多次寻优结果逐步调整搜索空间,以提高反演效率和结果的稳定性。工程实例分析结果表明,该方法可以提高混凝土热学参数反演的效率、精度及反演结果的稳定性,可提供满足工程需要的热学参数。
[Abstract]:In order to solve the problem that the accuracy of thermal parameter inversion of mass concrete is greatly affected by the stability of measuring point selection and optimization algorithm, this paper presents a method of selecting the best thermal parameter inversion point by using the principle of highest sensitivity. The temperature field of mass concrete during construction is calculated by heat flow coupling algorithm, and the temperature sensitivity of each measuring point is analyzed, and the most sensitive measuring point of temperature to parameter change is selected. In order to improve the inversion efficiency and the stability of the results, the genetic algorithm is introduced to reduce the search space step by step, and the search space is adjusted step by step according to the multiple search results. The analysis results of engineering examples show that this method can improve the efficiency, accuracy and stability of the inversion results of concrete thermal parameters, and can provide the thermal parameters to meet the engineering needs.
【作者单位】： 三峡大学水利与环境学院;三峡大学湖北省水电工程施工与管理重点实验室;武汉大学水利水电学院;
【基金】：国家自然科学基金(51479103)
【分类号】：TV544
[Abstract]:In order to solve the problem that the accuracy of thermal parameter inversion of mass concrete is greatly affected by the stability of measuring point selection and optimization algorithm, this paper presents a method of selecting the best thermal parameter inversion point by using the principle of highest sensitivity. The temperature field of mass concrete during construction is calculated by heat flow coupling algorithm, and the temperature sensitivity of each measuring point is analyzed, and the most sensitive measuring point of temperature to parameter change is selected. In order to improve the inversion efficiency and the stability of the results, the genetic algorithm is introduced to reduce the search space step by step, and the search space is adjusted step by step according to the multiple search results. The analysis results of engineering examples show that this method can improve the efficiency, accuracy and stability of the inversion results of concrete thermal parameters, and can provide the thermal parameters to meet the engineering needs.
【作者单位】： 三峡大学水利与环境学院;三峡大学湖北省水电工程施工与管理重点实验室;武汉大学水利水电学院;
【基金】：国家自然科学基金(51479103)
【分类号】：TV544
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