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Spectral Method in Multiaxial Random Fatigue
Springer-Verlag Berlin Heidelberg 2007 ;ISSN: 1613-7736 ;ISBN: 3540738223 ;ISBN: 9783540738220 ;EISBN: 9783540738237 ;EISBN: 3540738231 ;DOI: 10.1007/978-3-540-73823-7 ;OCLC: 213093381
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Title:
Spectral Method in Multiaxial Random Fatigue
Author:
Nies¿ony, Adam
;
Macha, Ewald
Subjects:
Building Construction and Design
;
Dynamic testing
;
Engineering
;
Materials
;
Materials Science, general
;
Mathematical and Computational Engineering
;
Solid Mechanics
Description:
This monograph contains theoretical foundations of the spectral method for fatigue life determination where the authors discuss a rule of description of random loading states with the matrix of power spectral density functions of the stress/strain tensor components. Some chosen criteria of multiaxial fatigue failure being linear combinations of stress or strain components on the critical plane are analyzed. The formula proposed in this book enables to determine power spectral density of the equivalent history directly from the components of the power spectral density matrix of the multidimensional stochastic process. It presents the assumptions and the procedure of determination of basic relationships of the spectral method. The authors work out equations determining the fatigue life according to the spectral method using various linear hypotheses of fatigue damage accumulation. The algorithm of fatigue life contains five blocks: 1 determination of loading, 2 determination of the critical plane position for the assumed multiaxial fatigue failure criterion, 3 determination of power spectral density of the equivalent stress or strain, 4 determination of statistical parameters of the equivalent parameter responsible for fatigue damage, and 5 fatigue life calculation according to a suitable hypothesis of damage accumulation.
Related Titles:
Lecture Notes in Applied and Computational Mechanics
Publisher:
Berlin, Heidelberg: Springer-Verlag
Creation Date:
2007
Format:
152
Language:
German;English
Identifier:
ISSN: 1613-7736
ISBN: 3540738223
ISBN: 9783540738220
EISBN: 9783540738237
EISBN: 3540738231
DOI: 10.1007/978-3-540-73823-7
OCLC: 213093381
Source:
Alma/SFX Local Collection
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