Introduction to thermodynamics of mechanical fatigue Michael M Khonsari; Mehdi Amiri

By:

Khonsari, Michael M

Material type: Text

9781138583283

Subject(s):

DDC classification:

620.112 KHO

Contents:

Ch. 1. Introduction to mechanical degradation processes -- ch. 2. Fundamentals of thermodynamics -- ch. 3. Degradation-entropy generation (DEG) theorem -- ch. 4. Fatigue mechanisms : an overview -- ch. 5. Basic thermodynamic framework for fatigue analysis -- ch. 6. Thermodynamic assessment of fatigue failure -- ch. 7. Damage mechanics : an entropic approach -- ch. 8. Self-organization in fatigue -- ch. 9. Entropic fatigue : in search for applications.

Summary: Preface The subject of fatigue degradation and methodologies for its treatment spans multitudes of scientific disciplines ranging from engineering to materials science, and from mechanics to mathematics. Fatigue is probabilistic in nature. For example, fatigue tests performed on the same material subjected to the same operating conditions can yield different results in terms of the number of cycles that the system can withstand before failure occurs. Such uncertainties affect the system design, its structural integrity, and operational reliability. Yet the majority of available methods for prediction of fatigue failure--such as cumulative damage models, cyclic plastic energy hypothesis, crack propagation rate models, and empirically-derived relationships based on the curve fitting of the limited laboratory data--are based on deterministic- type theories and their applications require many unknown input parameters that must be experimentally determined. There are other complications. All of the above-mentioned methods concentrate on very specific types of loading and single fatigue modes, that is, bending, or torsion, or tensioncompression. In practice, however, fatigue involves simultaneous interaction of multimode processes. Further, the variability in the duty cycle in practical applications may render many of these existing methods incapable of reliable prediction. It is, therefore, no surprise that the application of these theories often leads to many uncertainties in the design. Further, their use and execution in practice requires one to implement large factors of safety, often leading to gross overdesigns that waste resources and cost more

List(s) this item appears in: New Arrivals December 2021

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Item type	Current library	Collection	Call number	Status	Date due	Barcode
Books	IIITDM Kurnool General Stacks	Non-fiction	620.112 KHO (Browse shelf(Opens below))	Available		0004066
Books	IIITDM Kurnool General Stacks	Non-fiction	620.112 KHO (Browse shelf(Opens below))	Available		0004067

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Previous	620.112 BET Elasticity and plasticity of large deformations :	620.112 BET Elasticity and plasticity of large deformations :	620.112 BET Elasticity and plasticity of large deformations :	620.112 KHO Introduction to thermodynamics of mechanical fatigue	620.112 KHO Introduction to thermodynamics of mechanical fatigue	620.112 OGD Non-linear elastic deformations	620.112 OGD Non-linear elastic deformations	Next

Ch. 1. Introduction to mechanical degradation processes --
ch. 2. Fundamentals of thermodynamics --
ch. 3. Degradation-entropy generation (DEG) theorem --
ch. 4. Fatigue mechanisms : an overview --
ch. 5. Basic thermodynamic framework for fatigue analysis --
ch. 6. Thermodynamic assessment of fatigue failure --
ch. 7. Damage mechanics : an entropic approach --
ch. 8. Self-organization in fatigue --
ch. 9. Entropic fatigue : in search for applications.

Preface The subject of fatigue degradation and methodologies for its treatment spans multitudes of scientific disciplines ranging from engineering to materials science, and from mechanics to mathematics. Fatigue is probabilistic in nature. For example, fatigue tests performed on the same material subjected to the same operating conditions can yield different results in terms of the number of cycles that the system can withstand before failure occurs. Such uncertainties affect the system design, its structural integrity, and operational reliability. Yet the majority of available methods for prediction of fatigue failure--such as cumulative damage models, cyclic plastic energy hypothesis, crack propagation rate models, and empirically-derived relationships based on the curve fitting of the limited laboratory data--are based on deterministic- type theories and their applications require many unknown input parameters that must be experimentally determined. There are other complications. All of the above-mentioned methods concentrate on very specific types of loading and single fatigue modes, that is, bending, or torsion, or tensioncompression. In practice, however, fatigue involves simultaneous interaction of multimode processes. Further, the variability in the duty cycle in practical applications may render many of these existing methods incapable of reliable prediction. It is, therefore, no surprise that the application of these theories often leads to many uncertainties in the design. Further, their use and execution in practice requires one to implement large factors of safety, often leading to gross overdesigns that waste resources and cost more

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