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Machine Learning-Based Hysteretic Lateral Force-Displacement Models of Reinforced Concrete Columns
| 题名： | Machine Learning-Based Hysteretic Lateral Force-Displacement Models of Reinforced Concrete Columns |
| 正文语种： | eng |
| 作者： | Huang, Caigui;Li, Yong;Gu, Quan;Liu, Jiadaren |
| 作者单位： | Xiamen Univ Dept Architecture & Civil Engn Xiamen 361005 Peoples R China|Univ Calif Berkeley Dept Civil & Environm Engn Berkeley CA 94720 USA;Univ Alberta Dept Civil & Environm Engn Edmonton AB T6G 2R3 Canada;Xiamen Univ Dept Architecture & Civil Engn Xiamen 361005 Peoples R China;Univ Alberta Dept Civil & Environm Engn Edmonton AB T6G 2R3 Canada |
| 关键词： | Machine learning (ML);Artificial neural network (ANN);Support vector machine (SVM);Hysteretic lateral force-displacement (HLFD) model;Reinforced concrete (RC) column |
| 摘要： | Hysteretic lateral force-displacement (HLFD) models are important for efficient structural analysis under cyclic loading (e.g., earthquakes). This paper proposes a novel machine learning (ML)-based HLFD model, referred to as ML-HLFD, to characterize the relationship between lateral force and displacement of reinforced concrete (RC) columns with different properties (e.g., geometry, and material properties). To this end, a database including 498 experimental results is collected for model training, validation, and testing purposes. The ML-HLFD first uses a support vector machine (SVM) to classify the different failure modes (i.e., flexure failure, flexure-shear failure, and shear failure). After that, an artificial neural network (ANN) is trained for obtaining the implicit mapping between inputs (i.e., the properties of RC column) and outputs (i.e., the crucial parameters of selected HLFD models). The performance of the ML-HLFD models is studied by (1) cross-validation; and (2) comparisons with experiments, a classical fiber-element model, and an existing analytical model, which demonstrate the accuracy and efficiency of ML-HLFD models under a wide range of scenarios. |
| 出版年： | 2022 |
| 期刊名称： | Journal of structural engineering |
| 卷： | 148 |
| 期： | 3 |
| 页码： | 04021291.1-04021291.28 |
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