Dynamic load identification of temporary stands based on the cloud model and discrete Kalman filter
CHEN Wenbo1,2 ,GUO Huiyong1
1.School of Civil Engineering, Chongqing University, Chongqing 400045, China;
2.Power China Sichuan Electric Power Engineering Co.,Ltd.,Chengdu 610016,China
Abstract：The effect of crowd loads, including crowd crowding and dynamic loads generated by jumping and swaying, is often an important factor affecting the structural safety of temporary structures such as stands. However, scholars at home and abroad have little research on the load identification of temporary structures such as stands, so it is necessary to a rapid identification study of loads such as crowds is carried out on such structures. This paper proposes a dynamic load identification method for temporary stand structures based on cloud model and discrete Kalman filter. First, the basic principles of cloud model and discrete Kalman filter are introduced. Then the load identification algorithm is derived based on discrete Kalman filter, and the cloud model technology is used to optimize the algorithm to effectively solve the interference problems caused by measurement errors and environmental noise. Finally, the temporary stand structure is used for numerical simulation, and it is compared with the load identification method of the unoptimized Kalman filter algorithm. The numerical simulation results show that the proposed method has good dynamic load identification performance for temporary stand structures.
陈文博1,2，郭惠勇1. 基于云模型和离散卡尔曼滤波的临时看台结构动荷载识别[J]. 振动与冲击, 2023, 42(18): 233-240.
CHEN Wenbo1,2,GUO Huiyong1. Dynamic load identification of temporary stands based on the cloud model and discrete Kalman filter. JOURNAL OF VIBRATION AND SHOCK, 2023, 42(18): 233-240.
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