论文信息 - Entropy Based Fatigue, Fracture, Failure Prediction and Structural Health Monitoring - 字舞流文

Entropy Based Fatigue, Fracture, Failure Prediction and Structural Health Monitoring

This special issue is dedicated to entropy-based fatigue, fracture, failure prediction and structural health monitoring[...].

Cemal Basaran | C. Basaran

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[2] Sergei Nirenburg,et al. Generation , 2004, Machine Translation.

[3] Aman Kumar,et al. Low Cycle Fatigue Life Prediction Using Unified Mechanics Theory in Ti-6Al-4V Alloys , 2019, Entropy.

[4] Ning Wang,et al. A Copula Entropy Approach to Dependence Measurement for Multiple Degradation Processes , 2019, Entropy.

[5] Yusheng Li,et al. Effective Surface Nano-Crystallization of Ni2FeCoMo0.5V0.2 Medium Entropy Alloy by Rotationally Accelerated Shot Peening (RASP) , 2020, Entropy.

[6] Yun-Ze Li,et al. Intelligent Analysis Algorithm for Satellite Health under Time-Varying and Extremely High Thermal Loads , 2019, Entropy.

[7] Yao Yao,et al. An Entropy-Based Failure Prediction Model for the Creep and Fatigue of Metallic Materials , 2019, Entropy.

[8] Michael D. Bryant,et al. Thermodynamics of Fatigue: Degradation-Entropy Generation Methodology for System and Process Characterization and Failure Analysis , 2019, Entropy.

[9] Leonid A. Sosnovskiy,et al. On the Development of Mechanothermodynamics as a New Branch of Physics , 2019, Entropy.

[10] Shahrum Abdullah,et al. Prediction of Fatigue Crack Growth Rate Based on Entropy Generation , 2019, Entropy.

[11] Ganesh Subbarayan,et al. Maximum Entropy Models for Fatigue Damage in Metals with Application to Low-Cycle Fatigue of Aluminum 2024-T351 , 2019, Entropy.