An impact location recognition device and method

Abstract

The present disclosure provides an impact location identification device and method, which relate to the field of impact location identification, including an impact output mechanism, which is used to apply impact to the test structure data collection area; a piezoelectric sensor, installed on the test structure to collect test structure strain data and send to the controller; the controller obtains the strain data and realizes the impact location recognition based on the convolutional neural network model; wherein, the convolutional neural network model is trained and constructed based on the impact location identification data set; using the deep learning method, the volume The product neural network model realizes the task of shock location and recognition, and solves the problem that the shock response is too complicated and difficult to analyze due to the irregular ribs of the reinforced lightweight structure. The deep learning method does not need to determine the current wave velocity and is suitable for complex structures. The impact localization identification.

Description

technical field [0001] The present disclosure relates to the field of impact location identification, and in particular to an impact location identification device and method. Background technique [0002] The statements in this section merely provide background information related to the present disclosure and may not necessarily constitute prior art. [0003] With the development of aerospace technology, especially the rapid development of special spacecraft technologies such as long-life near-Earth space stations, manned spacecraft, and deep space probes, the new generation of spacecraft has a long service cycle and enhanced ability to adapt to harsh service environments. Among them, the aluminum alloy reinforced lightweight structure has been widely used in the bulkhead of the spacecraft airtight cabin. [0004] Aluminum alloy reinforced lightweight structure refers to aluminum alloy plate with rib structure, which has the characteristics of light weight, strong structu...

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Problems solved by technology

[0006] The purpose of this disclosure is to provide an impact location recognition device and method for the defects existing in the prior art, using a deep learning method to construct a convolutional neural network model, to achieve the task of impact location recognition, and to solve the problem of reinforced lightweight structures Irregular ribs make the shock response too complex and difficult to analyze. Using deep learning methods does not need to determine the current wave velocity, and is suitable for shock positioning and identification of complex structures.

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