Work

Investigation of concrete creep-shrinkage models using residual method

Year: 2025

Type: article

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.

Source: Case Studies in Construction Materials

DOI: 10.1016/j.cscm.2025.e04467

Authors: Qi Guo, Shijie Zhou

Institution: Xi'an University of Architecture and Technology

Language: English

Topic: Concrete Properties and Behavior

Subfield: Civil and Structural Engineering

Field: Engineering

Domain: Physical Sciences

Open Access status: gold

Estimated APC paid: $2,660

Funders: National Natural Science Foundation of China, Natural Science Foundation of Shaanxi Province