Early-Age Behavior of Large-Scale Concrete-Filled Steel Tubular Members: Field Measurement, Simulation, and Neural Network Prediction

For concrete-filled steel tube (CFST) columns with a large diameter, the cracking problems caused by the early-age hydration heat in the internal mass concrete urgently need to be studied. The temperature and strain in the concrete of the tower leg (a 2.1 m diameter CFST member) after pouring were measured. The tower leg is part of the world’s highest transmission tower, which stands 385 meters tall.The results showed that due to the early-age hydration of concrete, the temperature in its core region reached 97.0 ℃, with a maximum temperature difference of up to 30.6 ℃ compared to the steel wall surface. The tensile strain at the core region of the concrete reached 400×10<sup>-6</sup> after 30 hours of pouring, leading to early-age cracking in the concrete. Additionally, to investigate the impact of size on the early-age behavior of CFST members, eight CFST specimens with different diameters were manufactured and measured for temperature and strain. Based on the “hydration-thermal-mechanical” constitutive model, a refined finite element model for CFST members was developed and validated against experimental results. Finally, an early-age hydration heat database considering the diameter of CFST members, ambient temperature, and concrete mix proportions was established. Based on a BP neural network, the early-age behavior of CFST members was predicted. The BP neural network enables accurate prediction of early-age hydration heat in CFST members, thereby helping to reduce the risk of early-age cracking.

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Publication Details

Journal
Industrial Construction
Published
2025-10-01
DOI
https://doi.org/10.3724/j.gyjzg24022710
Primary Topic
Concrete Properties and Behavior
Type
article
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article

Early-Age Behavior of Large-Scale Concrete-Filled Steel Tubular Members: Field Measurement, Simulation, and Neural Network Prediction

Xie Hong-ping, Zhangxuan Wang, Teng Tong, Xiaofan Liu et al.
Industrial Construction
Concrete Properties and Behavior
article

Early-Age Behavior of Large-Scale Concrete-Filled Steel Tubular Members: Field Measurement, Simulation, and Neural Network Prediction

Xie Hong-ping, Zhangxuan Wang, Teng Tong, Xiaofan Liu, Xiaobo Li, Liang Liu
article en

Abstract

For concrete-filled steel tube (CFST) columns with a large diameter, the cracking problems caused by the early-age hydration heat in the internal mass concrete urgently need to be studied. The temperature and strain in the concrete of the tower leg (a 2.1 m diameter CFST member) after pouring were measured. The tower leg is part of the world’s highest transmission tower, which stands 385 meters tall.The results showed that due to the early-age hydration of concrete, the temperature in its core region reached 97.0 ℃, with a maximum temperature difference of up to 30.6 ℃ compared to the steel wall surface. The tensile strain at the core region of the concrete reached 400×10<sup>-6</sup> after 30 hours of pouring, leading to early-age cracking in the concrete. Additionally, to investigate the impact of size on the early-age behavior of CFST members, eight CFST specimens with different diameters were manufactured and measured for temperature and strain. Based on the “hydration-thermal-mechanical” constitutive model, a refined finite element model for CFST members was developed and validated against experimental results. Finally, an early-age hydration heat database considering the diameter of CFST members, ambient temperature, and concrete mix proportions was established. Based on a BP neural network, the early-age behavior of CFST members was predicted. The BP neural network enables accurate prediction of early-age hydration heat in CFST members, thereby helping to reduce the risk of early-age cracking.

Industrial ConstructionVol. 55(10)
Openalex Percentile: Top 62%
Concrete Properties and Behavior
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Early-Age Behavior of Large-Scale Concrete-Filled Steel Tubular Members: Field Measurement, Simulation, and Neural Network Prediction — Xie Hong-ping, Zhangxuan Wang, et al. · Industrial Construction (2025) | TGRS Research Map | TGRS