Steel framework structure mutational damage recognition method and system

Abstract

The invention discloses a steel framework structure mutational damage recognition method and system. The method includes the following steps that vibration situations of a steel framework structure are monitored, and an acceleration response signal is obtained; the wavelet coefficient of the acceleration response signal at each moment is calculated, the damage index of each node of the structure is calculated through the change rate of the wavelet coefficients, and the damage indexes and the damage degree of the steel framework structure are in a linear relation; the moment when the steel framework structure is damaged is determined according to changes of the damage indexes along with time, and the position where damage occurs is determined by comparing the damage indexes at different portions of the steel framework structure; the damage degree of the structure is determined according to the damage indexes corresponding to the damage occurrence moment. The method and device are suitable for mutational damage recognition of the steel framework structure at different types of excitation, mutational damage of a small degree can be accurately recognized, high noise reduction capacity is achieved, the problem that a traditional damage recognition method can not be used for recognizing the damage degree of the structure is solved, and high application value is achieved.

Description

【Technical field】 [0001] The invention relates to the field of civil engineering, in particular to a method and system for identifying sudden damage to a steel frame structure. 【Background technique】 [0002] The safety of civil engineering structures is an important issue related to the national economy and people's livelihood. At present, many complex and novel structures such as high-rise buildings, super bridges and ocean platforms have been established one after another. Due to unreasonable design, unqualified construction, harsh service environment and strong load, the civil engineering structure will inevitably produce damage accumulation. If it is not detected and reinforced in time, it may lead to catastrophic accidents and major losses. For example, the Sampoong Department Store in South Korea collapsed in 1995, the Qijiang Hong Bridge in Chongqing collapsed in 1999, the Gaoping Bridge in Taiwan broke in 2000, and the ocean platform in the Gulf of Mexico collapsed...

AI Technical Summary

Problems solved by technology

[0005] (1) Generally, only a large degree of structural mutation damage (such as more than 10%) can be identified. For very small structural stiffness damage, such as stiffness damage below 5%, it is difficult to accurately and effectively identify

[0006] (2) Only the location and time of mutation damage can be identified, but the degree of mutation damage cannot be determined

Therefore, mutation damage can only be identified qualitatively, but not quantitatively, which is the main defect of the current method

[0007] (3) The anti-interference ability of the current method to signal noise is not strong, if the damage degree is very large (such as more than 20%), it still has a good recognition effect

However, in the case of small damage, it is already difficult to identify damage events without noise, and it is even more difficult to identify structural mutation damage under the influence of noise interference.

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