Application of metaheuristic optimization algorithms-based three strategies in predicting the energy absorption property of a novel aseismic concrete material
文献类型：期刊论文
| 作者 | Mei, Xiancheng1,2; Li, Chuanqi3; Cui, Zhen1,2; Sheng, Qian1,2; Chen, Jian1,2; Li, Shaojun1,2 |
| 刊名 | SOIL DYNAMICS AND EARTHQUAKE ENGINEERING
 |
| 出版日期 | 2023-10-01 |
| 卷号 | 173页码:16 |
| 关键词 | Novel aseismic concrete material Energy absorption property Energy transmission rate Metaheuristic optimization algorithms Tunnel engineering |
| ISSN号 | 0267-7261 |
| DOI | 10.1016/j.soildyn.2023.108085 |
| 英文摘要 | This study aims to predict the energy absorption property of a novel aseismic concrete material made of rubber, sand and cement. To investigate the energy absorption property of this novel aseismic concrete material, the energy transmission rate (ETR) was calculated by using the Split-Hopkinson Pressure Bar (SHPB) device. Furthermore, some prediction models were developed to predict the ETR in order to estimate it in the field and other laboratory environments. Therefore, six metaheuristic optimization algorithms-based three strategies (i.e., evolutionary algorithms: Differential evolution (DE) and Human felicity algorithm (HFA); physical algorithms: Nuclear reaction optimization (NRO) and Lightning search algorithm (LSA); swarm intelligence algorithms: Harris Hawks optimization (HHO) and Tunicate swarm algorithm (TSA)) and random forest (RF) model were combined to generate various hybrid prediction models for forecasting the ETR. The results indicated that the TSA-RF model has the best performance for predicting the ETR in both the training phase (RMSE: 1.5388 and R2: 0.9349) and the testing phase (RMSE: 1.6083 and R2: 0.9165). The sensitive analysis results demonstrated that cement is the most important parameter for predicting the ETR, but the rubber showed the largest negative correlation with the ETR. As a result, the application of artificial intelligence in ETR prediction has been proven to be feasible, this work can provide a novel idea for the development of aseismic materials in tunnel engineering. |
| 资助项目 | National Natural Science Foundation of China[51779253] ; National Natural Science Foundation of China[41902288] ; National Basic Research Program of China[51991393] ; CRSRI Open Research Program[CKWV2019746/KY] ; Youth Innovation Promotion Association CAS |
| WOS研究方向 | Engineering ; Geology |
| 语种 | 英语 |
| WOS记录号 | WOS:001035710500001 |
| 出版者 | ELSEVIER SCI LTD |
| 源URL | [http://119.78.100.198/handle/2S6PX9GI/39098]  |
| 专题 | 中科院武汉岩土力学所 |
| 通讯作者 | Li, Chuanqi |
| 作者单位 | 1.Chinese Acad Sci, Inst Rock & Soil Mech, State Key Lab Geomech & Geotech Engn, Wuhan 430071, Peoples R China 2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China 3.Grenoble Alpes Univ, Lab 3SR, CNRS UMR 5521, F-38000 Grenoble, France |
| 推荐引用方式 GB/T 7714 | Mei, Xiancheng,Li, Chuanqi,Cui, Zhen,et al. Application of metaheuristic optimization algorithms-based three strategies in predicting the energy absorption property of a novel aseismic concrete material[J]. SOIL DYNAMICS AND EARTHQUAKE ENGINEERING,2023,173:16. |
| APA | Mei, Xiancheng,Li, Chuanqi,Cui, Zhen,Sheng, Qian,Chen, Jian,&Li, Shaojun.(2023).Application of metaheuristic optimization algorithms-based three strategies in predicting the energy absorption property of a novel aseismic concrete material.SOIL DYNAMICS AND EARTHQUAKE ENGINEERING,173,16. |
| MLA | Mei, Xiancheng,et al."Application of metaheuristic optimization algorithms-based three strategies in predicting the energy absorption property of a novel aseismic concrete material".SOIL DYNAMICS AND EARTHQUAKE ENGINEERING 173(2023):16. |
入库方式： OAI收割
来源：武汉岩土力学研究所
浏览0
下载0
收藏0
其他版本
除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。