溫度與拉力對(duì)EMI損傷檢測(cè)技術(shù)的影響及補(bǔ)償方法
[Abstract]:In the course of service, it is inevitable that the civil engineering structure will be affected by various adverse factors, which may cause damage to the structure. The accumulation of the damage can cause the structure to have potential safety hazards, and even lead to the destruction of the whole structure. In order to be able to understand the health status of the structure in time, the structure health monitoring system comes into being. Among these, the damage detection technology based on Electro-mechanical Impedance has caused many experts and scholars to pay close attention to its unique advantages, and has developed very quickly in recent years. And the emi damage detection technique may be affected by external factors including temperature and external force, and the like. In this paper, on the basis of the previous research, the research work of the following aspects is carried out on the external influence factors of the EMI damage detection technology by means of theoretical analysis, experimental research and data processing. 1. Based on the influence of temperature on the parameters of PZT (PZT), the influence of temperature on the detection technology of EMI was investigated theoretically, and the experiment was carried out. The change law of the admittance curve under different temperature conditions is compared and analyzed, and the overall trend of the admittance curve is not changed with the increase of the temperature, but the frequency of the peak of the admittance curve can be reduced, and the peak of the admittance curve will change. The RMSD (Root Mean Square Devation) damage index of the experiment data is analyzed to obtain the change of the temperature, which results in the change of the RMSD index in the same healthy state, which leads to the mistake of the health state of the structure. 2. The tensile force is increased on the basis of one-dimensional EMI theory model, and the expression of the structure admittance under the action of tension is derived, and the detection technology of the tensile force on the EMI damage is theoretically analyzed. The influence of the method on the detection of the EMI damage under the action of the tensile load is also described. Apply different tension to the non-destructive steel beam and the damaged steel beam respectively, and analyze the admittance curve and the RMSD index under different tension conditions. The effect of the tensile force in the same healthy state results in a reduction in the admittance value of the structure, which can lead to the damage index of the RMSD. The change of RMSD and the damage index before and after injury were analyzed. The damage of the structure can be detected by the change of the RMSD index before and after the injury, but when the damage degree is not the same, the change of the tensile force can cause the change of the damage index, resulting in a healthy state of the structure. 3. Based on the influence of temperature on the detection technology of EMI, the effective frequency shift (EFS) method is used to the EMI technology. the admittance information of the structure at different temperatures is processed by the EFS method, and the lateral direction of the temperature to the admittance curve is compensated, It can be seen that the RMSD index after compensation has reduced the temperature to a certain extent by comparing the RRMSD index before and after the compensation. The change of the index will be applied to the EMI damage detection and detection technology with the EFS compensation method. In the actual project, the bridge structure with no damage and damage is first monitored, and the change of the admittance and the RMSD at different temperatures are compared and analyzed. The change of the index is used to process the admittance information of the damage and damage by the EFS method, and it is found that the compensated RMSD index can more effectively judge the structural damage. Occurrence and development.4. Based on the influence of the tension factor on the detection technology of EMI, the RBF (Radial Basis Function) neural network is used. Under the influence of the tensile force, the admittance information in the healthy state of the experimental test is RBF neural network. The training and simulation are carried out. The simulation results can be used to predict the health-like under different tensile forces. The admittance information under the state of tension is compared with the predicted value of the measured admittance information under the action of the pulling force, and can be effectively judged through the analysis of the RMSD index.
【學(xué)位授予單位】:華中科技大學(xué)
【學(xué)位級(jí)別】:博士
【學(xué)位授予年份】:2015
【分類號(hào)】:TU317
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