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Super high-rise building wind load inverse analysis method based on discrete Kalman filtering

A Kalman filter, high-rise building technology, applied in special data processing applications, instruments, electrical digital data processing and other directions, can solve the problem of limited wind load inversion analysis research

Inactive Publication Date: 2016-01-20
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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  • Super high-rise building wind load inverse analysis method based on discrete Kalman filtering
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  • Super high-rise building wind load inverse analysis method based on discrete Kalman filtering

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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 super high-rise building wind load inverse analysis method based on discrete Kalman filtering. The method comprises the following steps: (1) converting wind-induced response components (displacement or velocity) of limited test floors of a structure into modal wind-induced responses based on actually measured modal shapes of first orders; (2) estimating unknown modal wind-induced response components by using discrete Kalman filtering; (3) identifying the modal wind-induced load of the structure through the estimated modal wind-induced responses (displacement, velocity and acceleration); (4) obtaining the wind load time-history of any floor of the structure by using the generalized inverse of a modal shape matrix. The method can solve the problem that the wind-induced response measuring points of super high-rise buildings are not enough. Wind load inversion results obtained by adopting the method under the influence of structure modal parameter errors, modal truncation errors and measurement noises can still satisfy engineering demands. The research technique provides a useful tool and basis for wind-resistant design of super high-rise buildings and relevant researches.

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...

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Application Information

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Patent Type & Authority Applications(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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