Analytical model to parameterize the adiabatic temperature rise of concrete

Jeong, Dong Jin; Kim, Tae‐Hwan; Ryu, Jong-Hyun; Kim, Jae Hong

doi:10.1016/j.conbuildmat.2020.121656

Cited by 9 publications

(1 citation statement)

References 32 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Necessary temperature control of mass concrete is one of the key means to ensure the quality of mass concrete pouring, such as controlling temperature changes during constructions to avoid large temperature changes or large temperature gradients during concrete construction [7]- [11]. Predicting the temperature in the process of concrete pouring, predicting the changing process of concrete temperature in advance, and taking corresponding temperature control measures can ensure the construction quality of mass concrete [12], [13].…”

Section: Introductionmentioning

confidence: 99%

Research on CART Model of Mass Concrete Temperature Prediction Based on Big Data Processing Technology

Li²,

Wang³

et al. 2022

IEEE Access

View full text Add to dashboard Cite

Due to the influence of temperature changes or temperature gradients in the construction process of mass concrete, temperature cracks will occur in the concrete. In order to achieve a reasonable prediction of the temperature change of the mass concrete during the construction process and accurately obtain the temperature change trend, this paper attempts to construct a CART prediction model based on the big data processing technology based on the characteristics of the temperature change of the mass concrete. This paper introduces in detail how to use data processing methods such as outlier identification, missing value filling and random error elimination to improve data quality, as well as the method for constructing the CART prediction model, and combines engineering examples to demonstrate the feasibility of the model method. The results show that the model and method can better predict the temperature change of mass concrete. It has high prediction accuracy and can provide necessary guidance for practical engineering.INDEX TERMS Mass concrete temperature, big data processing technology, CART prediction model.

show abstract