Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/66412
DC FieldValueLanguage
dc.contributorDepartment of Mechanical Engineering-
dc.contributorChinese Mainland Affairs Office-
dc.creatorHong, M-
dc.creatorMao, Z-
dc.creatorTodd, MD-
dc.creatorSu, ZQ-
dc.date.accessioned2017-05-22T02:26:05Z-
dc.date.available2017-05-22T02:26:05Z-
dc.identifier.issn0888-3270-
dc.identifier.urihttp://hdl.handle.net/10397/66412-
dc.language.isoenen_US
dc.publisherAcademic Pressen_US
dc.subjectStatistical signal processingen_US
dc.subjectUncertainty quantificationen_US
dc.subjectProbabilistic modelingen_US
dc.subjectRelative acoustic nonlinearity parameteren_US
dc.subjectLamb wavesen_US
dc.subjectDamage identificationen_US
dc.subjectCompositesen_US
dc.titleUncertainty quantification for acoustic nonlinearity parameter in lamb wave-based prediction of barely visible impact damage in compositesen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.spage448-
dc.identifier.epage460-
dc.identifier.volume82-
dc.identifier.doi10.1016/j.ymssp.2016.05.035-
dcterms.abstractNonlinear features extracted from Lamb wave signals (e.g., second harmonic generation) are demonstrably sensitive to microscopic damage, such as fatigue and material thermal degradation. While a majority of the existing studies in this context is focused on detecting undersized damage in metallic materials, the present study is aimed at expanding such a detection philosophy to the domain of composites, by linking the relative acoustic nonlinearity parameter (RANP) - a prominent nonlinear signal feature of Lamb waves - to barely visible impact damage (BVID) in composites. Nevertheless, considering immense uncertainties inevitably embedded in acquired signals (due to instrumentation, environment, operation, computation/estimation, etc.) which can adversely obfuscate nonlinear features, it is necessary to quantify the uncertainty of the RANP (i.e., its statistics) in order to enhance decision-making associated with its use as a detection feature. A probabilistic model is established to numerically evaluate the statistical distribution of the RANP. Using piezoelectric wafers, Lamb waves are acquired and processed to produce histograms of RANP estimates in both the healthy and damaged conditions of a CF/EP laminate, to which the model is compared, with good agreement observed between the model-predicted and experimentally-obtained statistic distributions of the RANP. With the model, BVID in the laminate is predicted. The model is further made use of to quantify the level of confidence in damage prediction results based on the concept of a receiver operating characteristic, enabling the practitioners to better understand the obtained results in the presence of uncertainties.-
dcterms.bibliographicCitationMechanical systems and signal processing, 1 Jan. 2017, v. 82, p. 448-460-
dcterms.isPartOfMechanical systems and signal processing-
dcterms.issued2017-1-
dc.identifier.isiWOS:000384397500028-
dc.identifier.ros2016001658-
dc.identifier.eissn1096-1216-
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