An Entropy-Based Failure Prediction Model for the Creep and Fatigue of Metallic Materials
by
Jundong Wang 1 and Yao Yao 1,2,*
Jundong Wang 1 and Yao Yao 1,2,*
1
School of Mechanics, Civil Engineering and Architecture, Northwestern Polytechnical University, Xi’an 710072, China
2
School of Civil Engineering, Xi’an University of Architecture and Technology, Xi’an 710055, China
*
Author to whom correspondence should be addressed.
Entropy 2019, 21(11), 1104; https://doi.org/10.3390/e21111104
Received: 29 September 2019 / Revised: 22 October 2019 / Accepted: 29 October 2019 / Published: 12 November 2019
(This article belongs to the Special Issue Entropy Based Fatigue, Fracture, Failure Prediction and Structural Health Monitoring)
It is well accepted that the second law of thermodynamics describes an irreversible process, which can be reflected by the entropy increase. Irreversible creep and fatigue damage can also be represented by a gradually increasing damage parameter. In the current study, an entropy-based failure prediction model for creep and fatigue is proposed based on the Boltzmann probabilistic entropy theory and continuum damage mechanics. A new method to determine the entropy increment rate for creep and fatigue processes is proposed. The relationship between entropy increase rate during creep process and normalized creep failure time is developed and compared with the experimental results. An empirical formula is proposed to describe the evolution law of entropy increase rate and normalized creep time. An entropy-based model is developed to predict the change of creep strain during the damage process. Experimental results of metals and alloys with different stresses and at different temperatures are adopted to verify the proposed model. It shows that the theoretical predictions agree well with experimental data.
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Wang, J.; Yao, Y. An Entropy-Based Failure Prediction Model for the Creep and Fatigue of Metallic Materials. Entropy 2019, 21, 1104.
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