A Temperature Prediction Model In New Concrete Pavement

Abstract

This study develops a model to predict temperature in newly placed concrete pavement, taking into account factors like environmental conditions and cement's heat of hydration. By solving a boundary value equation, the model estimates temperature distributions, crucial for concrete quality over its lifespan. It presents methods for determining material properties influencing hydration heat and correlates these with measured temperature distributions in lab specimens and field pavements under different curing conditions. The findings help in understanding how early-age temperature affects concrete quality, offering insights for improved construction practices and material selection. (Abstract generated by AI tool ChatGPT 4)