Investigation of concrete creep-shrinkage models using residual method

This study proposes a novel residual-based correction approach to improve the accuracy of concrete creep and shrinkage predictions. A comprehensive residual analysis was performed using a database of 2,254 creep and 5,399 shrinkage test results. The analysis revealed systematic biases in current code predictions: 55.5% of creep predictions showed overestimation, particularly at low stress levels (<20 MPa) and small theoretical thicknesses, while 66.2% of shrinkage predictions exhibited underestimation, especially for high-strength concrete and low water-cement ratios (<0.4). A power function-based residual model was developed, with strong internal parameter correlations (correlation coefficients of -0.998 and -0.96 for creep and shrinkage models respectively). Validation using independent experimental data demonstrated significant improvements in prediction accuracy, with average errors reduced by up to 40%. This study provides a practical methodology for enhancing existing prediction models through systematic residual analysis, offering a new perspective for addressing the uncertainties in concrete time-dependent behavior predictions.

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Publication Details

Journal
Case Studies in Construction Materials
Published
2025-03-08
DOI
https://doi.org/10.1016/j.cscm.2025.e04467
Citations
1
Primary Topic
Concrete Properties and Behavior
Type
article
Field-Weighted Citation Impact
0.95

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article

Investigation of concrete creep-shrinkage models using residual method

Shijie Zhou, Qi Guo
1 citations
Case Studies in Construction Materials
Concrete Properties and Behavior
0.95
article

Investigation of concrete creep-shrinkage models using residual method

Shijie Zhou, Qi Guo
article en
1 citations

Abstract

This study proposes a novel residual-based correction approach to improve the accuracy of concrete creep and shrinkage predictions. A comprehensive residual analysis was performed using a database of 2,254 creep and 5,399 shrinkage test results. The analysis revealed systematic biases in current code predictions: 55.5% of creep predictions showed overestimation, particularly at low stress levels (<20 MPa) and small theoretical thicknesses, while 66.2% of shrinkage predictions exhibited underestimation, especially for high-strength concrete and low water-cement ratios (<0.4). A power function-based residual model was developed, with strong internal parameter correlations (correlation coefficients of -0.998 and -0.96 for creep and shrinkage models respectively). Validation using independent experimental data demonstrated significant improvements in prediction accuracy, with average errors reduced by up to 40%. This study provides a practical methodology for enhancing existing prediction models through systematic residual analysis, offering a new perspective for addressing the uncertainties in concrete time-dependent behavior predictions.

Case Studies in Construction MaterialsVol. 22
Xi'an University of Architecture and Technology (CN)
National Natural Science Foundation of China, Natural Science Foundation of Shaanxi Province
Openalex Percentile: Top 28%
Concrete Properties and Behavior
0.95
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