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

Traditionally fatigue, fracture, damage mechanics are predictions are based on empirical curve fitting models based on experimental data. However, when entropy is used as the metric for degradation of the material, the modeling process becomes physics based rather than empirical modeling. Because, e...

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Other Authors: Basaran, Cemal (Editor)
Format: Electronic Book Chapter
Language:English
Published: Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute 2021
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DOAB: description of the publication
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520 |a Traditionally fatigue, fracture, damage mechanics are predictions are based on empirical curve fitting models based on experimental data. However, when entropy is used as the metric for degradation of the material, the modeling process becomes physics based rather than empirical modeling. Because, entropy generation in a material can be calculated from the fundamental equation of thematerial. This collection of manuscripts is about using entropy for "Fatigue, Fracture, Failure Prediction and Structural Health Monitoring". The theoretical paper in the collection provides the mathematical and physics framework behind the unified mechanics theory, which unifies universal laws of motion of Newton and laws of thermodynamics at ab-initio level. Unified Mechanics introduces an additional axis called, Thermodynamic State Index axis which is linearly independent from Newtonian space x, y, z and time. As a result, derivative of displacement with respect to entropy is not zero, in unified mechanics theory, as in Newtonian mechanics. Any material is treated as a thermodynamic system and fundamental equation of the material is derived. Fundamental equation defines entropy generation rate in the system. Experimental papers in the collection prove validity of using entropy as a stable metric for Fatigue, Fracture, Failure Prediction and Structural Health Monitoring. 
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546 |a English 
650 7 |a History of engineering & technology  |2 bicssc 
653 |a fatigue 
653 |a system failure 
653 |a degradation analysis 
653 |a entropy generation 
653 |a stress strain 
653 |a plastic strain 
653 |a thermodynamics 
653 |a health monitoring 
653 |a copula entropy 
653 |a measure 
653 |a dependence 
653 |a multiple degradation processes 
653 |a physics of failure 
653 |a prognosis and health management 
653 |a entropy as damage 
653 |a acoustic emission 
653 |a information entropy 
653 |a thermodynamic entropy 
653 |a Jeffreys divergence 
653 |a MaxEnt distributions 
653 |a fatigue damage 
653 |a low-cycle fatigue 
653 |a satellite 
653 |a dynamic health evaluation 
653 |a fuzzy reasoning 
653 |a entropy increase rate 
653 |a creep strain 
653 |a damage mechanics 
653 |a metallic material 
653 |a mechanothermodynamics 
653 |a tribo-fatigue entropy 
653 |a wear-fatigue damage 
653 |a stress-strain state 
653 |a limiting state 
653 |a damage state 
653 |a dangerous volume 
653 |a interaction 
653 |a irreversible damage 
653 |a degradation-entropy generation theorem 
653 |a dual-phase steel 
653 |a fatigue crack growth rate 
653 |a spectrum loading 
653 |a entropy 
653 |a unified mechanics 
653 |a Ti-6Al-4V 
653 |a medium entropy alloy 
653 |a deformation twinning 
653 |a dislocation slip 
653 |a surface nano-crystallization 
653 |a shot peening 
653 |a n/a 
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