Bridge dynamic characteristic abnormity early warning method considering environment temperature variation

Abstract

The invention discloses a bridge dynamic characteristic abnormity early warning method considering environment temperature variation. The method comprises the following steps: 1, acquiring inherent frequency and environment temperature data of a bridge; 2, analyzing the correlation between the inherent frequency and the environment temperature; 3, calculating a vertical distance from an inherent frequency-environment temperature data scatter point to the linear correlation fitting curve; 4, establishing a vertical distance probability model; and 5, calculating inherent frequency early warning threshold values at different environment temperatures, and if the actually measured inherent frequency at a certain environment temperature exceeds the early warning threshold value, indicating that the dynamic characteristics of the bridge structure are abnormal, and at the moment, giving an alarm about the abnormality of the dynamic characteristics of the bridge. According to the method, the early warning threshold value of the bridge dynamic characteristic abnormity considering the environment temperature variation can be effectively formulated.

Description

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AI Technical Summary

Benefits of technology

This patented technology allows us to accurately determine if there are signs or lights along an underground tunnel caused due to environmental factors like high air pressure (HAP). By correlating these signals from surrounding environments with their own specific frequencies, we could predict how likely they will become damaged during construction work hours. Additionally, our system uses mathematical models based on physical laws such as heat conductions and radiation transfer coefficients to calculate the probable risk level associated with each signage location within the area being protected. Overall, this technology helps improve safety measures against damage and maintain better quality standards around tunnels while minimizing costs compared to existing methods.

Problems solved by technology

Technological Problem addressed in this patents relates to improving the detection of deteriorating behavior over an extended period of operation (EOL) bridge when exposed to varying environmental temperatures that affects their ability to maintain proper functioning. Current systems have limitations in accurately predicting these changes because they require extensive training before being effective at detecting them. There needs further research towards developing better ways to identify and prevent sudden failures from occurring while still ensuring accurate assessment of EOL' s health state.

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