A surrogate model-based prediction method of moment-rotation curve of semi-rigid joints in transmission towers
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Abstract:
In order to accurately and efficiently evaluate the mechanical properties of semi-rigid joints in transmission towers, a method based on surrogate model is proposed to predict the moment-rotation relationship of the semi-rigid joints. By introducing the surrogate model method to approximate the functional relationship between the geometric dimensions, ultimate flexural capacity, and initial rotational stiffness of semi-rigid joints, a prediction model with high accuracy is established. Furthermore, the moment-rotation curves of semi-rigid joints in transmission towers are fitted using the Kish-Chen power function model. The results show that the proposed surrogate model-based prediction method for moment-rotation curves of semi-rigid joints can reduce the cost of experiments and numerical simulations, while accruately approximating the actual force-deformation relationship of semi-rigid joints in transmission towers. This method also provides valuable insights for the engineering design and theoretical research of semi-rigid joints in transmission towers.
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Supported by International (Regional) Cooperation and Exchange Program of the National Natural Science Foundation of China (51611140123), National Key R&D Plan Project (2017YFC0703901, 2018YFC0809406) and Special Support of Chongqing Postdoctoral Research Project (2022CQBSHBT3009).
