Reinforced concrete simply supported beam fire damage identification method based on improved support vector machine

Abstract

The invention relates to a reinforced concrete simply supported beam fire damage identification method based on an improved support vector machine, and belongs to the technical field of fire damage identification. The method comprises the following steps: (1) establishing a simply supported beam fire damage model, and obtaining modal parameters of the reinforced concrete simply supported beam at each fire moment; (2) constructing combination parameters of the training samples based on the SVM; (3) defining an output vector of the FA-SVR as a fire receiving time prediction value; (4) the support vector regression machine tool box called in the FA-SVR algorithm having a regression index, and the damage identification effect of the model is measured; and (5) carrying out regression predictionby virtue of an SVM, and carrying out optimization by adopting a firefly algorithm. According to the method, the diagnosis efficiency and the convergence speed are remarkably improved, the complexityof the adjustment model and the experience risk are reduced, the calculation is more accurate, the calculation time consumption is short, the parameter optimization capability is improved, the experience error is greatly reduced, and the result reliability is higher.

Description

technical field [0001] The invention relates to a method for identifying fire damage of reinforced concrete simply supported beams based on an improved support vector machine, and belongs to the technical field of fire damage identification. Background technique [0002] Structural damage or even collapse under fire is not only one of the causes of casualties, but also the main cause of direct and indirect economic losses. Structural damage identification and health monitoring technology can detect the existence and location of structural damage, and predict the remaining life of the structure. Therefore, how to establish a damage recognition algorithm for this type of structure to quickly and accurately identify the existence, location and degree of damage to ensure the safety of the structure will have great engineering significance. There are many researches and engineering applications on the vibration characteristics of structures at room temperature at home and abroad...

AI Technical Summary

Problems solved by technology

[0005] The purpose of the present invention is to overcome the above-mentioned defects existing in the existing SVM-based damage identification method, and propose a fire damage identification method for reinforced concrete simply supported beams based on improved SVM, which solves the problem of reinforced concrete simply supported beams under fire and after fire. Damage Identification Problem Based on Vibration Measurement

Images