Damage Identification Method for Stochastic Structures Based on Genetic Algorithm and Static Measurement Data

Abstract

The invention relates to an identification method of random structural damage based on genetic algorithm and static force measurement data. The identification method of the random structural damage based on the genetic algorithm and the static force measurement data comprises the following steps: (1) preliminarily obtaining statistical properties of random structural damage indexes; (2) defining the probability of unit damage as the random rigidity before occurrence of the damage or the probability that an elastic modulus Kai is larger than Kdi; (3) introducing damage probability indexes, determining several units of the damage probability indexes as non-damage units, and conducting corresponding adjustment on the statistical properties of the damage indexes; (5) going back to the governing equation of the initial damage identification in the step (1), and obtaining the objective function of the structural damage indexes after rearranging; and (6) solving the minimum value of the objective function in the step (5) by means of the genetic algorithm, and obtaining the statistical properties of the damage indexes. The identification method of the random structural damage based on the genetic algorithm and the static force measurement data has the advantages that multiple damage identification of different damage degrees can be carried out due to the fact that the genetic optimized algorithm has little limit on the type, the quantity and the size of the parameter.

Description

technical field

[0001] The invention belongs to building structure detection technology, in particular to a random structure damage identification method based on genetic algorithm and static force measurement data. Background technique

[0002] With the rapid development of housing and bridge construction in our country, large-span, high-rise and complex engineering structures continue to emerge. Due to the continuous adoption of new materials and new processes, the safety and durability of these structures have attracted great attention from relevant departments and researchers. In order to ensure the normal operation, safety and reliability of these important projects, a complete monitoring and maintenance mechanism must be established. In addition, natural or man-made disasters such as earthquakes, typhoons, and fires will cause major damage to engineering structures, and it is also very important to evaluate the residual bearing capacity of structures after disasters a...

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