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Computing Progressive Failure in Materials and Structures by Integration of Digital Image Correlation with Acoustic Emission Monitoring Data
Computing Progressive Failure in Materials and Structures by Integration of Digital Image Correlation with Acoustic Emission Monitoring Data
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机译：通过与声发射监测数据的数字图像相关性集成数字图像相关性计算材料和结构的逐步故障
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摘要
An inventive approach is disclosed to integrate Digital Image Correlation (DIC) with the Acoustic Emission method that may be used for structural health monitoring and assessment of critical structural components in civil, mechanical, and aerospace industries. The inventive approach relies on passively recording acoustic emission across the specimen being tested and activating the DIC cameras automatically to measure deformation on the specimen's surface. The resulting acousto-optic system can be used to determine damage initiation, progressive damage development, identify critical regions and make lifetime predictions of the tested specimen.
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