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      Damage Localization of Composites Based on Difference Signal and Lamb Wave Tomography

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          Abstract

          In order to deal with the problem of composite damage location, an imaging technique based on differential signal and Lamb wave tomography was proposed. Firstly, the feasibility of the technique put forward was verified by simulation. In this process, the composite model was regularly set down by the circular sensor array, with each sensor acting as an actuator in sequence to generate Lamb waves. Apart from that, other sensors were used to collect response signals. With regard to the damage factor, it was mainly determined by the difference between the damage signal and the non-damage signal. The probabilistic imaging algorithm was employed to carry out damage location imaging. Then, experiments were carried out so as to study the selected composite plate. Finally, the tentative outcomes have illustrated that the maximum error of damage imaging position was 7.07 mm. The relative error was 1.6%. In addition, the method has the characteristics of simple calculation and high imaging efficiency. Therefore, it has large technical potential and wide applications in the damage location and damage recognition for composite material.

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          Most cited references29

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          Structural vibration-based classification and prediction of delamination in smart composite laminates using deep learning neural network

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            Non-Destructive Testing of Materials in Civil Engineering

            This issue was proposed and organized as a means to present recent developments in the field of non-destructive testing of materials in civil engineering. For this reason, the articles highlighted in this editorial relate to different aspects of non-destructive testing of different materials in civil engineering, from building materials to building structures. The current trend in the development of non-destructive testing of materials in civil engineering is mainly concerned with the detection of flaws and defects in concrete elements and structures, and acoustic methods predominate in this field. As in medicine, the trend is towards designing test equipment that allows one to obtain a picture of the inside of the tested element and materials. Interesting results with significance for building practices were obtained.
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              Lamb wave-based quantitative identification of delamination in CF/EP composite structures using artificial neural algorithm

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                Author and article information

                Journal
                Materials (Basel)
                Materials (Basel)
                materials
                Materials
                MDPI
                1996-1944
                04 January 2020
                January 2020
                : 13
                : 1
                : 218
                Affiliations
                [1 ]School of Control Science and Engineering, Shandong University, Jinan 250061, China; suchenhui2010@ 123456163.com (C.S.); drleizhang@ 123456sdu.edu.cn (L.Z.); zhangfaye@ 123456sdu.edu.cn (F.Z.); qmsui@ 123456sdu.edu.cn (Q.S.)
                [2 ]CRRC Qingdao Sifang Co. Ltd., Qingdao 266111, China; sfliangjianying@ 123456sina.com (J.L.); sftianaiqin@ 123456sina.com (A.T.); sfsunlin@ 123456aliyun.com (L.S.)
                Author notes
                [* ]Correspondence: jiangmingshun@ 123456sdu.edu.cn ; Tel.: +86-531-883-923-23
                Author information
                https://orcid.org/0000-0002-0031-7409
                https://orcid.org/0000-0002-1049-4249
                https://orcid.org/0000-0001-6239-3231
                Article
                materials-13-00218
                10.3390/ma13010218
                6982292
                31947940
                16fd83ea-4c59-4d1a-b99f-55e9b5024960
                © 2020 by the authors.

                Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license ( http://creativecommons.org/licenses/by/4.0/).

                History
                : 06 December 2019
                : 01 January 2020
                Categories
                Article

                composite materials,damage,identification,lamb wave tomography

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