大体积混凝土热学参数识别的优化

doi:10.13229/j.cnki.jdxbgxb20171028

摘要/Abstract

摘要： 针对热学参数识别效率与精度偏低的问题,提出了将整体模型离散为内部与表面局部模型进行分步识别的方法。首先,通过表面对流影响深度分析,提出局部模型的离散原则。然后,引入全局分析方法,论证参数识别的收敛性。最后,提出了以多次识别结果拟合最优解的方法。研究表明:在前96 h,局部模型能够反映整体模型规律,可利用局部模型提高识别效率;收敛容差会引起3%~10%的参数误差,多次识别拟合可减小该容差影响;以混凝土塔柱试验验证了本方法的效率及精度。

关键词: 水工结构, 混凝土, 水化热, 热学参数, 参数识别

Abstract: In order to solve the problem of low accuracy and low efficiency of thermal parameter identification, a method of step identification for internal and external models is proposed. First, the selection principle of local model is built by analysis of the influence depth of surface convection. Second, the convergence of parameter identification is demonstrated by the global analysis method. Finally, a method of fitting the optimal solution with multiple recognition results is proposed. The results show that, in the first 96 h, the local model can reflect the law of the whole model, which can be used to improve the recognition efficiency. Convergence tolerance can cause 3% to 10% parameter error, and the fitting method can effectively reduce the error. The efficiency and accuracy of this method are verified by the example of a concrete pylon.

Key words: hydro-structure, concrete, hydration, thermal parameters, parameter identification

中图分类号:

TV544

宋军, 石雪飞, 阮欣. 大体积混凝土热学参数识别的优化[J]. 吉林大学学报(工学版), 2018, 48(5): 1418-1425.

SONG Jun, SHI Xue-fei, RUAN Xin. Optimization of thermal parameter identification for mass concrete[J]. Journal of Jilin University(Engineering and Technology Edition), 2018, 48(5): 1418-1425.

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