期刊
CONSTRUCTION AND BUILDING MATERIALS
卷 122, 期 -, 页码 823-832出版社
ELSEVIER SCI LTD
DOI: 10.1016/j.conbuildmat.2016.06.130
关键词
Acoustic emission; Bathtub curve; Damage detection; Reliability analysis; Ferrocement slabs; Machine learning
资金
- Ministry of Higher Education (Malaysia) [UM.C/HIR/MOHE/ENG/54]
This paper introduces suitable features and methods to define hazard rate function by acoustic emission (AE) parametric analysis to develop robust damage statement index and reliability analysis. AE signal energy was first examined to find out the relation between damage progress and AE signal energy so that a damage index based on AE signal energy could be proposed to quantify progressive damage imposed to ferrocement composite slabs. Moreover, by using AE signal strength, historic index could be computed and utilized to develop a modified hazard rate function through integration of bathtub curve and Weibull function. Furthermore, to provide a practical scheme for real condition monitoring, support vector regression was utilized to produce a robust tools for failure prediction considering uncertainties exist in real structures. (C) 2016 Elsevier Ltd. All rights reserved.
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