Entropy Based Fatigue Fracture Failure Prediction And Structural Health Monitoring

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

Entropy Based Fatigue, Fracture, Failure Prediction and Structural Health Monitoring
Author :
Publisher : MDPI
Total Pages : 238
Release :
ISBN-10 : 9783039438075
ISBN-13 : 3039438077
Rating : 4/5 (077 Downloads)

Book Synopsis Entropy Based Fatigue, Fracture, Failure Prediction and Structural Health Monitoring by : Cemal Basaran

Download or read book Entropy Based Fatigue, Fracture, Failure Prediction and Structural Health Monitoring written by Cemal Basaran and published by MDPI. This book was released on 2021-01-13 with total page 238 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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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