LEADER 04229nam 2200925z- 450 001 9910557124703321 005 20231214133304.0 035 $a(CKB)5400000000040807 035 $a(oapen)https://directory.doabooks.org/handle/20.500.12854/68290 035 $a(EXLCZ)995400000000040807 100 $a20202105d2021 |y 0 101 0 $aeng 135 $aurmn|---annan 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aEntropy Based Fatigue, Fracture, Failure Prediction and Structural Health Monitoring 210 $aBasel, Switzerland$cMDPI - Multidisciplinary Digital Publishing Institute$d2021 215 $a1 electronic resource (238 p.) 311 $a3-03943-807-7 311 $a3-03943-808-5 330 $aTraditionally 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. 606 $aHistory of engineering & technology$2bicssc 610 $afatigue 610 $asystem failure 610 $adegradation analysis 610 $aentropy generation 610 $astress strain 610 $aplastic strain 610 $athermodynamics 610 $ahealth monitoring 610 $acopula entropy 610 $ameasure 610 $adependence 610 $amultiple degradation processes 610 $aphysics of failure 610 $aprognosis and health management 610 $aentropy as damage 610 $aacoustic emission 610 $ainformation entropy 610 $athermodynamic entropy 610 $aJeffreys divergence 610 $aMaxEnt distributions 610 $afatigue damage 610 $alow-cycle fatigue 610 $asatellite 610 $adynamic health evaluation 610 $afuzzy reasoning 610 $aentropy increase rate 610 $acreep strain 610 $adamage mechanics 610 $ametallic material 610 $amechanothermodynamics 610 $atribo-fatigue entropy 610 $awear-fatigue damage 610 $astress-strain state 610 $alimiting state 610 $adamage state 610 $adangerous volume 610 $ainteraction 610 $airreversible damage 610 $adegradation-entropy generation theorem 610 $adual-phase steel 610 $afatigue crack growth rate 610 $aspectrum loading 610 $aentropy 610 $aunified mechanics 610 $aTi-6Al-4V 610 $amedium entropy alloy 610 $adeformation twinning 610 $adislocation slip 610 $asurface nano-crystallization 610 $ashot peening 615 7$aHistory of engineering & technology 700 $aBasaran$b Cemal$4edt$01221196 702 $aBasaran$b Cemal$4oth 906 $aBOOK 912 $a9910557124703321 996 $aEntropy Based Fatigue, Fracture, Failure Prediction and Structural Health Monitoring$93030543 997 $aUNINA