期刊
CONSTRUCTION AND BUILDING MATERIALS
卷 164, 期 -, 页码 463-476出版社
ELSEVIER SCI LTD
DOI: 10.1016/j.conbuildmat.2018.01.002
关键词
Acoustic Emission (AE); Stress; Reinforced concrete (RC); Stress-strain relation; AE Intensity Distribution (AID)
资金
- National Key R&D Program of China [2017YFC0806007, 2016YFC0802202]
- National Natural Science Foundation of China [51508058, 51479013, 51425801]
- Youth Science and Technology Talent Cultivating Plan of Chongqing City [cstc2014kjrc-qnrc30001]
- China Postdoctoral Science Foundation [2016M592645]
- Chongqing Research Program of Application Foundation and Advanced Technology [cstc2016jcyjA0010]
Measuring stress is critical in the Civil Engineering. However, established acoustic emission-based techniques can hardly evaluate the stress level which a structure is experiencing. Accordingly, an idea of 'listening' to Acoustic Emission (AE) to evaluate critical stress states in reinforced concrete (RC) beams is investigated here. Previous work found that the stress diagram of an RC beam cross section strongly correlates with the corresponding AE event intensity distribution pattern. Therefore, the stress level of this type of structures was estimated by utilising the remarkable correlation in this study. First of all, the stress diagrams of a cross section of an RC beam loaded to failure were analysed, revealing features which had close relations with the stress level of the section. Thanks to the correlation, these features were also extracted from the corresponding distribution patterns of the AE event intensity and then used to estimate the stress state. As a result, the AE Intensity Distribution (AID) analysis approach was developed. Data from an experiment conducted on six RC beams with a Digital Image Correlation (DIC) system and an AE device were adopted to verify the approach. Results showed that the indicators of the approach strongly correlated with the stress levels of the specimens; that the approach can characterise the stress states precisely, with an error of about five per cent in critical stages. Besides the approach, more profound significance of this work lies in that it demonstrated the great capability of an innovative strategy, namely characterising structural behaviours accurately via correlating an AE distribution pattern with the corresponding stress diagram. (C) 2018 Elsevier Ltd. All rights reserved.
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