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A Probabilistic Model for Fatigue Crack Propagation Analysis |
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| Authors: | DING Keqin DUAN Menglan FU Pinsheng LIU Chuntu Ph. D. Associate Professor Research Department Center of Boiler Pressure Vessel Inspection Research Beijing P. R. ChinaPh. D. Research Professor CCS Research Development Center China Classification Society Beijing P. R. ChinaLecturer Yumen Petroleum School of Technique Technology Yumen P. R. China Research Professor |
| Affiliation: | DING Keqin DUAN Menglan FU Pinsheng LIU Chuntu Ph. D.,Associate Professor,Research Department,Center of Boiler and Pressure Vessel Inspection and Research,Beijing 100013,P. R. ChinaPh. D.,Research Professor,CCS Research and Development Center,China Classification Society,Beijing 100006,P. R. ChinaLecturer,Yumen Petroleum School of Technique and Technology,Yumen 735200,P. R. China Research Professor,Institute of Mechanics,the Chinese Academy of Sciences,Beijing 100080,P. R. China |
| Abstract: | A simple probabilistic model for predicting crack growth behavior under random loading is presented. In the model, the parameters c and m in the Paris-Erdogan Equation are taken as random variables, and their stochastic characteristic values are obtained through fatigue crack propagation tests on an offshore structural steel under constant amplitude loading. Furthermore, by using the Monte Carlo simulation technique, the fatigue crack propagation life to reach a given crack length is predicted. The tests are conducted to verify the applicability of the theoretical prediction of the fatigue crack propagation. |
| Keywords: | probabilistic model fatigue crack propagation random loading Monte Carlo simulation offshore structural steel E36-Z35 |
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