Urban masonry residence safety assessment method based on uncertainty analysis

Abstract

The invention discloses an urban masonry residence safety assessment method based on uncertainty analysis, and belongs to the field of engineering structure performance assessment. The method comprises the following steps: firstly, acquiring acceleration of a structure under environmental vibration to obtain acceleration data; secondly, adopting a multi-reference-point covariance driven random subspace method and a convolutional neural network to automatically identify structural modal parameters and uncertainty thereof; then, taking the obtained uncertainty modal parameters as input, adoptinga Bayesian model correction method based on a progressive Markov chain Monte Carlo method (TMCMC) to correct an initial finite element model of the structure, and obtaining the urban masonry residence safety assessment model with the uncertainty parameters; and finally, carrying out safety evaluation on the model by considering the load effect and the structural parameter uncertainty at the sametime. According to the invention, an effective urban masonry residence safety evaluation model can be constructed, so that the goals of long-term safety management and disaster early warning of the residence are achieved.

Description

technical field [0001] The invention relates to a method for evaluating the safety of masonry houses in cities and towns based on uncertainty analysis, which belongs to the field of performance evaluation of engineering structures and is used for the safety evaluation of masonry houses in cities and towns. Background technique [0002] The safety assessment of structures is an effective means to ensure the safety of structures. At present, it is mainly based on relevant national standards and standards, with the help of instruments and equipment for manual on-site inspections, and based on the measured data such as material strength, component size, structural deformation, crack width, and structural defects, Appearance inspections such as damage and corrosion rated the structure as A su 、B su 、C su 、D su Wait for 4 security levels. However, due to the cumbersome and diverse detection methods and the time-consuming and labor-intensive operation, it takes a lot of manpowe...

AI Technical Summary

Problems solved by technology

At present, SHM is mainly used in large-scale building forms such as bridges, dams and space structures, and its application in the safety assessment of masonry structures is still in its infancy.

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