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Structure early warning analysis method based on Bayesian model

A Bayesian model, early warning analysis technology, applied in character and pattern recognition, CAD numerical modeling, complex mathematical operations, etc., can solve the uncertainty of the influence mechanism and rarely consider the comprehensive influence of multiple environmental factors and other problems, to achieve the effect of accurate and reliable comprehensive early warning analysis method of health status of high-rise building structures, reducing computational complexity and improving computational efficiency

Active Publication Date: 2020-06-16
GUANGZHOU INSTITUTE OF BUILDING SCIENCE CO LTD +1
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Problems solved by technology

Many scholars have conducted correlation analysis on environmental factors and structural parameters, and analyzed the influence of environmental factors on structural parameters. However, most of these studies based on the correlation analysis between environmental factors and structural parameters focus on the relationship between modal parameters and environmental factors The mapping relationship between them is mainly based on linear models; most studies only focus on the influence of single environmental factors on structural parameters, and seldom consider the comprehensive influence of multiple environmental factors; most studies consider the impact of environmental factors on structural parameters. The impact mechanism is deterministic, rarely considering the uncertainty of the impact mechanism

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  • Structure early warning analysis method based on Bayesian model
  • Structure early warning analysis method based on Bayesian model
  • Structure early warning analysis method based on Bayesian model

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[0066] In order to fully understand the purpose, features and effects of the present invention, the idea, specific steps and technical effects of the present invention will be further described below in conjunction with the accompanying drawings and specific embodiments.

[0067] like figure 1 Shown, the present invention discloses a kind of structural early warning analysis method based on Bayesian model, and its steps include:

[0068] S1. Use the empirical mode decomposition method to decompose the structural response of a high-rise building to obtain its corresponding eigenmode function, perform Hilbert transform on the eigenmode function to obtain its instantaneous frequency and instantaneous energy; use the instantaneous The frequency and the instantaneous energy define the prediction error of the Bayesian model and the predicted probability density function of the system output, and the probability density function of the system Bayesian model is derived from the produc...

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Abstract

The invention discloses a structure early warning analysis method based on a Bayesian model. Firstly, the invention provides a high-rise building structure parameter identification method based on Bayesian inference. The method comprises the following steps: constructing a Bayesian model likelihood function by utilizing instantaneous frequency and instantaneous energy of a structural response signal intrinsic mode function of a high-rise building; obtaining the instantaneous frequency and instantaneous energy of the intrinsic mode function by conducting empirical mode decomposition and Hilberttransform on the structural response signals of the high-rise building. Compared with a traditional method, the method has the advantages that the calculation complexity is greatly reduced, and the calculation efficiency is improved; a probability mapping relation model between multiple structural parameters and the environment temperature, the relative humidity and the average wind speed based on the Bayesian model is established; therefore, the analyzed and studied change mechanism of different high-rise building structure parameters along with a plurality of environmental factors and the proposed high-rise building structure health condition comprehensive early warning analysis method based on the plurality of structure parameters are more accurate and reliable.

Description

technical field [0001] The invention belongs to the field of structural health early warning, and mainly relates to a structural early warning analysis method based on a Bayesian model. Background technique [0002] With the continuous construction of high-rise buildings and super high-rise buildings all over the world, their structural safety issues have attracted more and more attention. During the operation of high-rise buildings, the long-term effects of load and environment make the building structural materials continue to age, and the structural damage continues to accumulate over time, resulting in the continuous degradation of the performance of the building structure and even destructive damage that threatens personal safety and property safety. Therefore, it is very necessary to carry out structural health monitoring for high-rise buildings and super high-rise buildings, and to evaluate and comprehensively warn the health status of structures. [0003] The core t...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F30/20G06F111/10G06F119/04G06F119/14G06F119/08G06F17/18G06K9/62G06Q50/08
CPCG06F17/18G06Q50/08G06F18/24155
Inventor 胡函唐孟雄胡贺松
Owner GUANGZHOU INSTITUTE OF BUILDING SCIENCE CO LTD
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