Predicting energy absorption characteristic of rubber concrete materials
文献类型：期刊论文
| 作者 | Mei, Xiancheng5,6; Li, Jianhe4; Zhang, Jiamin3; Cui, Zhen5,6; Zhou, Jian2; Li, Chuanqi1,2 |
| 刊名 | CONSTRUCTION AND BUILDING MATERIALS
 |
| 出版日期 | 2025-02-28 |
| 卷号 | 465页码:16 |
| 关键词 | Energy absorption characteristic Rubber concrete material Tunnel Intelligent prediction Model interpretability |
| ISSN号 | 0950-0618 |
| DOI | 10.1016/j.conbuildmat.2025.140248 |
| 英文摘要 | Exploring the use of new materials to enhance the seismic resistance of tunnels is of significant importance. Rubber concrete materials have made outstanding achievements in absorbing and converting seismic energy, but there is a lack of efficient and convenient calculation methods. This study aims to predict the energy absorption characteristic of a novel rubber concrete material. To achieve this, several intelligent prediction models are developed using data obtained from Split-Hopkinson Pressure Bar (SHPB) tests. Eighty rubber concrete specimens are produced to measure the energy transmission rate (ETR). The performance evaluation results indicate that the random forest (RF) model is the best model with the most satisfactory predictive performance. i.e., determination coefficient (R2), root mean square error (RMSE), and a20-index (training: 0.9281, 1.6679, and 0.4167; test: 0.9342, 1.3199, and 0.3000). Moreover, feature analysis reveals that cement and rubber exhibit the most positive and negative correlations with the ETR, respectively. The optimal rubber content for the used aseismic concrete is found to be 22.4 %. Shapley additive explanations (SHAP), feature importance (FI) calculation, partial dependence plot (PDP), and individual conditional expectation (ICE) methods are adopted to enhance model interpretability. This study provides a new paradigm for shifting the design of rubber concrete materials from experimental measurement to intelligent prediction. It contributes to the enhancement of tunnel seismic resistance though material performance prediction and design. |
| 资助项目 | National Key R & D Program of China[2023YFC3007403] ; National Key R & D Programs for Young Scientists[2023YFB2390400] ; National Natural Science Foundation of China[U21A20159] ; National Natural Science Foundation of China[52379112] ; National Natural Science Foundation of China[52079133] ; Hubei Provincial Natural Science Foundation of China[2024AFB041] ; State Key Laboratory of Intelligent Construction and Healthy Operation and Maintenance of Deep Underground Engineering[SDGZK2412] ; Visiting Researcher Fund Program of State Key Laboratory of Water Resources Engineering and Management[2023SGG07] |
| WOS研究方向 | Construction & Building Technology ; Engineering ; Materials Science |
| 语种 | 英语 |
| WOS记录号 | WOS:001419997600001 |
| 出版者 | ELSEVIER SCI LTD |
| 源URL | [http://119.78.100.198/handle/2S6PX9GI/37046]  |
| 专题 | 中科院武汉岩土力学所 |
| 通讯作者 | Li, Chuanqi |
| 作者单位 | 1.Grenoble Alpes Univ, Lab 3SR, CNRS, UMR 5521, F-38000 Grenoble, France 2.Cent South Univ, Sch Resources & Safety Engn, Changsha 410083, Peoples R China 3.Sinopec Res Inst Petr Engn, Beijing 100101, Peoples R China 4.Changjiang Inst Survey Planning Design & Res Co Lt, Minist Water Resources, Key Lab Water Grid Project & Regulat, Wuhan 430010, Peoples R China 5.Univ Chinese Acad Sci, Beijing 100049, Peoples R China 6.Chinese Acad Sci, Inst Rock & Soil Mech, State Key Lab Geomech & Geotech Engn Safety, Wuhan 430071, Peoples R China |
| 推荐引用方式 GB/T 7714 | Mei, Xiancheng,Li, Jianhe,Zhang, Jiamin,et al. Predicting energy absorption characteristic of rubber concrete materials[J]. CONSTRUCTION AND BUILDING MATERIALS,2025,465:16. |
| APA | Mei, Xiancheng,Li, Jianhe,Zhang, Jiamin,Cui, Zhen,Zhou, Jian,&Li, Chuanqi.(2025).Predicting energy absorption characteristic of rubber concrete materials.CONSTRUCTION AND BUILDING MATERIALS,465,16. |
| MLA | Mei, Xiancheng,et al."Predicting energy absorption characteristic of rubber concrete materials".CONSTRUCTION AND BUILDING MATERIALS 465(2025):16. |
入库方式： OAI收割
来源：武汉岩土力学研究所
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