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Wind and Structures Volume 36, Number 6, June 2023 (Special Issue) pages 379-392 DOI: https://doi.org/10.12989/was.2023.36.6.379 |
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Predicting the lateral displacement of tall buildings using an LSTM-based deep learning approach |
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Bubryur Kim, K.R. Sri Preethaa, Zengshun Chen, Yuvaraj Natarajan, Gitanjali Wadhwa and Hong Min Lee
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| Abstract | ||
| Structural health monitoring is used to ensure the well-being of civil structures by detecting damage and estimating deterioration. Wind flow applies external loads to high-rise buildings, with the horizontal force component of the wind causing structural displacements in high-rise buildings. This study proposes a deep learning-based predictive model for measuring lateral displacement response in high-rise buildings. The proposed long short-term memory model functions as a sequence generator to generate displacements on building floors depending on the displacement statistics collected on the top floor. The model was trained with wind-induced displacement data for the top floor of a high-rise building as input. The outcomes demonstrate that the model can forecast wind-induced displacement on the remaining floors of a building. Further, displacement was predicted for each floor of the high-rise buildings at wind flow angles of 0° and 45°. The proposed model accurately predicted a high-rise building model's story drift and lateral displacement. The outcomes of this proposed work are anticipated to serve as a guide for assessing the overall lateral displacement of high-rise buildings. | ||
| Key Words | ||
| high-rise buildings; long short-term memory; recurrent neural network; structural health monitoring; windinduced displacement | ||
| Address | ||
| Bubryur Kim:Department of Robot and Smart System Engineering, Kyungpook National University, 80, Daehak-ro, Buk-gu, Daegu, 41566, Republic of Korea K.R. Sri Preethaa:Department of Computer Science and Engineering, KPR Institute of Engineering and Technology, Coimbatore – 641407, India Zengshun Chen:School of Civil Engineering, Chongqing University, Chongqing 400045, China Yuvaraj Natarajan:1)Department of Robot and Smart System Engineering, Kyungpook National University, 80, Daehak-ro, Buk-gu, Daegu, 41566, Republic of Korea 2)Department of Computer Science and Engineering, KPR Institute of Engineering and Technology, Coimbatore – 641407, India Gitanjali Wadhwa:Department of Computer Science and Engineering, KPR Institute of Engineering and Technology, Coimbatore – 641407, India Hong Min Lee:Engineering Co., Ltd., 128, Beobwon-ro, Songpa-gu, Seoul, Republic of Korea | ||