Abstract
Acoustic emission (AE), as a highly sensitive structural health monitoring technology, has been widely applied to the damage detection of engineering structures. This paper systematically reviews the research progress of AE-based damage detection methods in civil engineering based on the literature mostly in the past 10 years. This review focuses on three types of AE-based damage detection methods for the engineering structures made of three commonly seen materials and having four different damage problems. Specifically, the detection methods are classified into three categories, including AE feature-based methods, waveform-based methods, and intelligent methods using AE physical models or data-driven models. They are further divided into nine subcategories of approaches for detailed analyses. The involved engineering structures are classified according to different materials and different damage problems for providing a cross-understanding of “methods—materials types—damage types” relationship. It is very challenging for AE-based monitoring technology to realize quantitative assessment, although proven to be an effective way for detecting damage existence. Therefore, the quantitative assessment approaches among the AE-based detection methods are explored in detail, which take advantage of explicit features or implicit relationships for grading the stages of damage development and quantifying damage severities. In responding to the limitations undermining the application of AE in civil engineering, possible solutions and future trends are provided and discussed. Through in-depth analyses of the methodological innovation and applications of the AE-based methods in damage initiation identification, damage expansion tracking, and damage quantification, this study potentially provides support for appropriate method selection and technical breakthrough of the challenges, thereby boosting the applicability of AE technology to engineering structures and reducing the engineering safety risks caused by damage development.
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