Study on Adiabatic Temperature Rise Reflecting Hydration Degree of Concrete

Abstract

e thermal model and the relevant parameters of concrete are the most important issues to study the space-time characteristics of temperature field, which are also the theoretical foundation of temperature control and crack prevention for the mass concrete structures. In this research, the improved adiabatic temperature rise test is carried out, and the temperature variation of fly ash concrete is analyzed. Furthermore, a thermal model of concrete considering the hydration degree is established based on the existing achievements. Meanwhile, the thermal conductivity and specific heat of concrete are measured via three approaches: by treating the parameters as constant values, by computing the parameters as variables of the degree of hydration, and by backanalyzing the parameters through BP 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. erefore, 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.

Prediction of the Compressive Strength of Environmentally Friendly Concrete Using Artificial Neural Network

“…In recent years, researchers have begun using artificial neural networks to determine the properties of building materials, including: predicting performance of lightweight concrete with granulated expanded glass and ash aggregate (Kurpinska & Kułak, 2019), designing the composition of cement stabilized rammed earth (Anysz & Narloch, 2019), studying adiabatic temperature rise reflecting hydration degree of concrete (Han et al, 2018), and predicting the compressive strength of cement-based materials exposed to sulfate attack (Chen et al, 2018).…”

Adiabatic Temperature Rise Test of Cemented Sand and Gravel (CSG) and Its Application to Temperature Stress Prediction of CSG Dam

“…ere is a considerable amount of literature about extensive thermal performance tests and temperature control crack prevention on ordinary concrete [6][7][8][9], RCC [10,11], rockfill concrete [12], and other materials. e investigations for the CSG materials are mainly focused on the relevant mechanical properties [13][14][15][16][17], while the impact of adiabatic temperature rise on the CSG material is not fully understood.…”