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Title of Journal: J Braz Soc Mech Sci Eng

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Abbravation: Journal of the Brazilian Society of Mechanical Sciences and Engineering

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Springer Berlin Heidelberg

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DOI

10.1002/pbc.26266

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1806-3691

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Estimation study of structure crack propagation un

Authors: Lin Zhu Minping Jia
Publish Date: 2016/11/05
Volume: 39, Issue: 3, Pages: 681-693
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Abstract

As the phenomenon of fracture damage is a common failure mode of equipment the reliability evaluation and residual life prediction have become a hotspot And the precise estimation of crack propagation has become necessary The common estimation study of crack propagation for structure under random load takes less influence factor into consideration and cannot be quantitatively corrected by influence factors at the same time An estimation approach of structure crack propagation is raised by combining the estimation approach of fatigue life based on multiple factors correction with the threshold criterion of opening stress and closure stress And the crack propagation of instance structure under the loading spectrum of singlepeak overloading and the loading spectrum of multipeak overloading are estimated Also the results estimated by corrected estimation approach are compared with the results estimated by fracture mechanics and the test data using acoustic emission device Further the probabilistic method based on Weibull distribution is selected as the statistical framework to evaluate the precision of corrected estimation approach And the probability density of results estimated by corrected approach and results estimated by fracture mechanics is calculated by the probability density function It can be shown from the comparisons that the result estimated by the corrected approach is more precise than the result estimated by fracture mechanics which is more close to the test dataThe research described in this paper was financially supported by the National Natural Science Foundation of China Grant Nos 51675098 and 51075070 Chinese Specialized Research Foundation for Doctoral program of Higher Education Grant No 20130092110003 and Graduate student research innovation Foundation of Jiangsu province Grant No KYLX150059 We gratefully appreciate the support agencies Besides we express our sincere thanks to the editors and the anonymous reviewers for their suggestions for the improvement of the paper


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