Wind load back analysis method for super high-rise buildings based on discrete Kalman filter

A Kalman filter, super high-rise technology, applied in special data processing applications, instruments, electrical digital data processing, etc., can solve the problems of limited wind load inversion analysis and research, and achieve the effect of fast convergence

Inactive Publication Date: 2018-05-01
WUHAN UNIV OF TECH
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Problems solved by technology

However, at present, there are few studies on the inverse analysis of wind loads on building structures, and the research on the inverse analysis of wind loads on super high-rise buildings is even more limited. Therefore, the present invention proposes a wind load analysis method based on discrete Kalman filter anti-analysis method

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  • Wind load back analysis method for super high-rise buildings based on discrete Kalman filter
  • Wind load back analysis method for super high-rise buildings based on discrete Kalman filter
  • Wind load back analysis method for super high-rise buildings based on discrete Kalman filter

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[0078] In order to make the object, technical solution and advantages of the present invention more clear, the present invention will be further described in detail below in conjunction with the examples. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0079] Such as Figure 19 As shown, the wind load back analysis method for super high-rise buildings based on discrete Kalman filter includes the following steps:

[0080] 1) Obtain the mass matrix M, stiffness matrix K and damping matrix C of the super high-rise building by using the finite element method, and the number of floors of the super high-rise building is n;

[0081] 2) Input the wind-induced response components of the P floors actually measured, and the wind-induced response is one of displacement or velocity response components;

[0082] 3) According to the first q-order mode shapes of the structure, the meas...

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Abstract

The invention discloses a method for back analysis of wind load of super high-rise buildings based on discrete Kalman filter. The method includes the following steps: (1) based on the actual measured first few order mode shapes, the wind-induced response component of the limited test floor of the structure (displacement or velocity) into modal wind-induced response; (2) use discrete Kalman filter to estimate unknown modal wind-induced response components; (3) identify structure’s Modal wind load; (4) Using the generalized inverse of the mode shape matrix to obtain the time history of wind load on any floor of the structure. This method can solve the problem of insufficient wind-induced response measurement points of super high-rise buildings. The wind load inversion results of this method under the influence of structural modal parameter errors, modal truncation errors and measurement noise can still meet the engineering needs. The research technology provides useful tools and basis for the wind resistance design of super high-rise buildings and related research.

Description

technical field [0001] The invention relates to the technical field of wind load identification of building structures, in particular to a method for back analysis of wind load of super high-rise buildings based on discrete Kalman filtering. Background technique [0002] In recent years, a large number of super high-rise buildings with a height of more than 300 meters have been built in the southeastern coastal areas of my country. Due to the low natural vibration frequency and small damping of these structures, they are relatively close to the main frequency range of typhoon dynamic loads. The wind-induced response is relatively large, and the wind load and wind-induced response are the primary control indicators for its safety and applicability design. Generally speaking, it is difficult to measure the wind load of super high-rise buildings on site. Although the wind tunnel test technology can test the structural wind load, it is difficult to accurately evaluate the wind lo...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F17/50
Inventor 郅伦海方明新余攀张彬
Owner WUHAN UNIV OF TECH
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