Energy damage identification method based on quasi-distributed acceleration data

Abstract

The invention discloses an energy damage identification method based on quasi-distributed acceleration data. The energy damage identification method comprises the following steps of distributing a plurality of vertical acceleration sensors on a long-span bridge in a quasi-distributed mode to measure vertical acceleration time interval response signals of a long-span bridge structure under outside stimulation; collecting acceleration time interval data signals when the long-span bridge is not damaged to calculate quasi-distributed acceleration energy E0 when the bridge is not damaged; timely collecting the acceleration time interval data signals during an operation period of the long-span bridge to timely calculate quasi-distributed acceleration energy Ed during the operation period of the long-span bridge and calculate an energy difference index and/or an energy curvature difference index of the E0 and the Ed; and using peaks of the energy difference index and/or the energy curvature difference index to locate damage position, and simultaneously quantizing the damage based on change rate peaks of the energy difference index and/or the energy curvature difference index. The energy damage identification method achieves accurate and rapid identification and quantization on damage of the long-span bridge structure.

Description

technical field [0001] The invention belongs to the field of bridge structure safety monitoring, in particular to an energy damage identification method based on quasi-distributed acceleration data. Background technique [0002] With the advancement of science and technology and the needs of the development of traffic volume, many long-span bridges have been built or will be built soon. Long-span bridges are subjected to repeated vehicle loads, wind loads, overloads, and potential earthquakes for a long time during their service, coupled with insufficient design and construction links, which may cause damage to the long-span bridge structure, and long-term damage accumulation may seriously affect the structure. The safety, applicability and durability of the bridge collapse will cause significant casualties and economic losses, while bringing extremely bad social impact. [0003] In the process of bridge construction and operation, people have realized the importance of saf...

AI Technical Summary

Problems solved by technology

Existing studies have shown that traditional damage identification methods are often difficult to accurately identify and quantify damage for long-span bridges.

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