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Study on adiabatic temperature rise reflecting the hydration degree of concrete

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Document pages: 12 pages

Abstract: The thermal model and related parameters of concrete are not only an important problem to study the temporal and spatial characteristics of temperature field, but also the theoretical basis of temperature control and crack prevention of mass concrete structures. In this study, an improved adiabatic temperature rise test is carried out, and the temperature change of fly ash concrete is analyzed. On this basis, a concrete thermal model considering hydration degree is established. At the same time, the thermal conductivity and specific heat of concrete are measured by three methods: the parameters are regarded as constants, the parameters are calculated as variables of hydration degree, and B neural network. Finally, the thermal parameters determined by different methodologies are substituted into the thermal model, respectively, and the finite element analysis of the concrete specimen is performed. By comparing simulated temperatures with various measured results, it can be found that the numerical analysis results of parameters calculated by BP neural network are closest to the measured values in the whole curing ages. Therefore, BP neural network method is an effective way to calculate the thermal parameters, and BP inversion algorithm provides a new way for accurately study the temperature profile of mass concrete structures.

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