Application of the Improved POA-RF Model in Predicting the Strength and Energy Absorption Property of a Novel Aseismic Rubber-Concrete Material
文献类型：期刊论文
| 作者 | Mei, Xiancheng1,2; Cui, Zhen1,2; Sheng, Qian1,2; Zhou, Jian3; Li, Chuanqi4 |
| 刊名 | MATERIALS
 |
| 出版日期 | 2023-02-01 |
| 卷号 | 16期号:3页码:- |
| 关键词 | aseismic concrete material strength energy absorption property improved POA algorithm tunnel |
| 英文摘要 | The application of aseismic materials in foundation engineering structures is an inevitable trend and research hotspot of earthquake resistance, especially in tunnel engineering. In this study, the pelican optimization algorithm (POA) is improved using the Latin hypercube sampling (LHS) method and the Chaotic mapping (CM) method to optimize the random forest (RF) model for predicting the aseismic performance of a novel aseismic rubber-concrete material. Seventy uniaxial compression tests and seventy impact tests were conducted to quantify this aseismic material performance, i.e., strength and energy absorption properties and four other artificial intelligence models were generated to compare the predictive performance with the proposed hybrid RF models. The performance evaluation results showed that the LHSPOA-RF model has the best prediction performance among all the models for predicting the strength and energy absorption property of this novel aseismic concrete material in both the training and testing phases (R-2: 0.9800 and 0.9108, VAF: 98.0005% and 91.0880%, RMSE: 0.7057 and 1.9128, MAE: 0.4461 and 0.7364; R-2: 0.9857 and 0.9065, VAF: 98.5909% and 91.3652%, RMSE: 0.5781 and 1.8814, MAE: 0.4233 and 0.9913). In addition, the sensitive analysis results indicated that the rubber and cement are the most important parameters for predicting the strength and energy absorption properties, respectively. Accordingly, the improved POA-RF model not only is proven as an effective method to predict the strength and energy absorption properties of aseismic materials, but also this hybrid model provides a new idea for assessing other aseismic performances in the field of tunnel engineering. |
| 学科主题 | Chemistry ; Materials Science ; Metallurgy & Metallurgical Engineering ; Physics |
| 语种 | 英语 |
| WOS记录号 | WOS:000929604900001 |
| 出版者 | MDPI |
| 源URL | [http://119.78.100.198/handle/2S6PX9GI/35549]  |
| 专题 | 中科院武汉岩土力学所 |
| 作者单位 | 1.Institute of Rock and Soil Mechanics, Chinese Academy of Sciences, Wuhan 430071, China 2.University of Chinese Academy of Sciences, Beijing 100049, China 3.School of Resources and Safety Engineering, Central South University, Changsha 410083, China 4.Laboratory 3SR, CNRS UMR 5521, Grenoble Alpes University, 38000 Grenoble, France |
| 推荐引用方式 GB/T 7714 | Mei, Xiancheng,Cui, Zhen,Sheng, Qian,et al. Application of the Improved POA-RF Model in Predicting the Strength and Energy Absorption Property of a Novel Aseismic Rubber-Concrete Material[J]. MATERIALS,2023,16(3):-. |
| APA | Mei, Xiancheng,Cui, Zhen,Sheng, Qian,Zhou, Jian,&Li, Chuanqi.(2023).Application of the Improved POA-RF Model in Predicting the Strength and Energy Absorption Property of a Novel Aseismic Rubber-Concrete Material.MATERIALS,16(3),-. |
| MLA | Mei, Xiancheng,et al."Application of the Improved POA-RF Model in Predicting the Strength and Energy Absorption Property of a Novel Aseismic Rubber-Concrete Material".MATERIALS 16.3(2023):-. |
入库方式： OAI收割
来源：武汉岩土力学研究所
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