1.Central-South Architectural Design Institute Co., Ltd., Wuhan 430071, China;
2.School of Civil Engineering, Wuhan University, Wuhan 430072, China;
3.School of Civil Engineering,Hunan University of Science and Technology, Xiangtan 411201, China
Abstract:The extreme pressure coefficient is an important variable to determine the design wind load of building’s claddings and components. The realization of automatic threshold selection and selection of a proper parameter estimation method is a prerequisite to ensure the accuracy of the extreme value calculation results of the peaks over-threshold model, and it is the hotspot and difficulty of the peaks over-threshold model. Based on the wind tunnel tests of the rigid model of CAARC high-rise building, the research on the extreme pressure coefficients calculation method about peaks over threshold model is carried out, and the performance of the declustering method for independent peaks is studied by the number and correlation of independent peaks. The performance of the generalized Pareto distribution parameter estimation method is studied by Monte Carlo approach, and the best parameter estimation method is proposed. A change point-local comparison method based on the stability of shape parameters or extreme value estimation results is proposed. The best threshold is automatically selected by the new method. The research results show that the automatic threshold selection method based on the change point theory has small sample dependence and good non-Gaussian applicability of samples. The proposed method can achieve a deviation of less than 5% versus block maximum method, and fully realize the automatic selection of threshold by the modified POT model. The research conclusions are helpful for extreme value estimation of pressure coefficients and are of great significance for determining design wind loads of building’s claddings and components, as well as can be extended to other extreme value estimation fields.
陈元坤1,2,毛丹3,李寿科3,刘敏3,陈晓强1,陈俊1,孙洪鑫3. 基于POT法确定风压系数极值的自动阈值选取与参数估计[J]. 振动与冲击, 2023, 42(16): 138-146.
CHEN Yuankun1,2,MAO Dan3,LI Shouke3,LIU Min3,CHEN Xiaoqiang1,CHEN Jun1,SUN Hongxin3. Automated threshold selection and parameter estimation for determining extreme wind pressure coefficients based on peaks over threshold method. JOURNAL OF VIBRATION AND SHOCK, 2023, 42(16): 138-146.
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