Damage prediction of recycled aggregate concrete under a sulfate attack using the seasonal ARIMA model

To promote the broader use of Recycled Aggregate Concrete (RAC), especially in saline regions and coastal areas with high sulfate levels, enhancing the resistance to sulfate damage is essential for RAC. This study examined the compressive strengths of RAC with varying fly ash contents and the water-binder ratios after exposure to sulfate wet-dry cycles. The findings indicated that the damage value of RAC defined by the loss of compressive strength under sulfate attack decreased as the fly ash content increased. In contrast, higher water-binder ratios and a greater number of sulfate wet-dry cycles led to increased damage of RAC. Considering the fly ash content and water-binder ratio, the trend moving average method was introduced to expand the data sample based on the experimental data, and a sulfate durability damage model of RAC based on the seasonal autoregressive integrated moving average (ARIMA)was proposed. Based on early compressive strength and the seasonal ARIMA model, a high fly ash content, especially not less than 20 %, and a low water-binder ratio, preferably not exceeding 0.45, is conducive to significantly enhancing the sulfate resistance of RAC. Moreover, the influence of the water-binder ratio on the sulfate resistance is more substantial than that of the fly ash content. The seasonal ARIMA model can accurately reveal the damage evolution law and predict damage of RAC with different fly ash contents and water-binder ratios under different sulfate wet-dry cycles. It provides a new method to study the durability of RAC.

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Publication Details

Journal
Case Studies in Construction Materials
Published
2025-03-25
DOI
https://doi.org/10.1016/j.cscm.2025.e04583
Primary Topic
Recycled Aggregate Concrete Performance
Type
article
Field-Weighted Citation Impact
0.00

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article

Damage prediction of recycled aggregate concrete under a sulfate attack using the seasonal ARIMA model

Pengyu Qu, Benyi Xie, Yidong Gan, Qian Chen et al.
Case Studies in Construction Materials
Recycled Aggregate Concrete Performance
article

Damage prediction of recycled aggregate concrete under a sulfate attack using the seasonal ARIMA model

Pengyu Qu, Benyi Xie, Yidong Gan, Qian Chen, Yue Cheng, Ting Du, Jinghao Chen
article en

Abstract

To promote the broader use of Recycled Aggregate Concrete (RAC), especially in saline regions and coastal areas with high sulfate levels, enhancing the resistance to sulfate damage is essential for RAC. This study examined the compressive strengths of RAC with varying fly ash contents and the water-binder ratios after exposure to sulfate wet-dry cycles. The findings indicated that the damage value of RAC defined by the loss of compressive strength under sulfate attack decreased as the fly ash content increased. In contrast, higher water-binder ratios and a greater number of sulfate wet-dry cycles led to increased damage of RAC. Considering the fly ash content and water-binder ratio, the trend moving average method was introduced to expand the data sample based on the experimental data, and a sulfate durability damage model of RAC based on the seasonal autoregressive integrated moving average (ARIMA)was proposed. Based on early compressive strength and the seasonal ARIMA model, a high fly ash content, especially not less than 20 %, and a low water-binder ratio, preferably not exceeding 0.45, is conducive to significantly enhancing the sulfate resistance of RAC. Moreover, the influence of the water-binder ratio on the sulfate resistance is more substantial than that of the fly ash content. The seasonal ARIMA model can accurately reveal the damage evolution law and predict damage of RAC with different fly ash contents and water-binder ratios under different sulfate wet-dry cycles. It provides a new method to study the durability of RAC.

Case Studies in Construction MaterialsVol. 22
South China Municipal Engineering Design and Research Institute (China) (CN), Guangzhou Maritime College (CN), Guangdong Institute of Intelligent Manufacturing (CN), Huazhong University of Science and Technology (CN)
National Natural Science Foundation of China, Natural Science Foundation of Hubei Province
Openalex Percentile: Top 95%
Recycled Aggregate Concrete Performance
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