Structural damage early warning method based on multi-point sensor data and BiLSTM

Abstract

The invention discloses a structure damage early warning method based on multi-point sensor data and BiLSTM, and the method comprises the steps: arranging a plurality of sensors on a structure, collecting the sensor data in a health state and a damage state of the structure, and building a sample library with a damage value label; normalizing the sensor data in the sample library, and determininga time step length input into the BiLSTM network; building a BiLSTM network model, and training and testing the model; and inputting the multi-point sensor data monitored within a certain period of time into the built BiLSTM network model to obtain a final prediction result of the BiLSTM network model, and judging whether to perform damage early warning or not according to the final prediction result. The method does not depend on a structural finite element model, does not need manual participation in the implementation process, is suitable for automatic online damage early warning of an in-service structure, can give an alarm at the first time when the structure is damaged, and provides certain guidance for bridge maintenance and management decision making, so that safe operation of an engineering structure is guaranteed.

Description

technical field [0001] The invention relates to the field of structural health monitoring, in particular to a structural damage early warning method based on multi-point sensor data and BiLSTM. Background technique [0002] During the service period of large-scale engineering structures, as the service time increases, its constituent materials continue to age and fatigue effects continue to increase, and damage of different types and degrees will inevitably occur. When the damage accumulates to a certain extent, if it is not discovered in time And processing, may lead to the collapse of the entire engineering structure, posing a serious threat to people's lives and property safety. Therefore, in the process of large-scale engineering structure operation, it is of great engineering application value to monitor the structural state in time and give early warning to the early damage of the structure. [0003] In the past two decades, scholars at home and abroad have conducted ...

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Problems solved by technology

[0004] Through the research on the existing technologies in related fields, it is found that the existing structural damage identification methods need to use the mechanical properties of the structure itself and rely on the finite element model. The calculation process of some methods requires manual participation, which is prone to randomness of manual intervention. Suitable for automatic analysis of massive online monitoring data

In addition, there are many uncertain factors in the actual engineering structure, and the mechanical properties of different types of structures are not the same. It is difficult to establish an accurate and general structural analysis model with existing methods, and it is difficult to apply it to the actual engineering structure.

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