Vibration Fatigue by Spectral Methods relates the structural dynamics theory to the high-cycle vibration fatigue. The book begins with structural dynamics theory and relates the uniaxial and multiaxial vibration fatigue to the underlying structural dynamics and signal processing theory. Organized in two parts, part I gives the theoretical background and part II the selected experimental research. The time- and frequency- domain aspects of signal processing in general, related to structural dynamics and counting methods are covered in detail. It also covers all the underlying theory in…mehr
Vibration Fatigue by Spectral Methods relates the structural dynamics theory to the high-cycle vibration fatigue. The book begins with structural dynamics theory and relates the uniaxial and multiaxial vibration fatigue to the underlying structural dynamics and signal processing theory. Organized in two parts, part I gives the theoretical background and part II the selected experimental research. The time- and frequency- domain aspects of signal processing in general, related to structural dynamics and counting methods are covered in detail. It also covers all the underlying theory in structural dynamics, signal processing, uniaxial & multiaxial fatigue; including non-Gaussianity and non-stationarity. Finally, it provides the latest research on multiaxial vibration fatigue and the non-stationarity and non-Gaussianity effects.
This book is for engineers, graduate students, researchers and industry professionals working in the field of structural durability under random loading and vibrations and also those dealing with fatigue of materials and constructions.
Dr. Janko Slavic is Professor of Mechanics at the Faculty of Mechanical Engineering, University of Ljubljana. He has published 66 SCI journal papers, has h index 16, wrote two text books (2014 and 2017 in Slovenian) and supervised 13 finished PhD students, currently he is supervising 5 PhD students. He has authored more than 20 scientific papers on the topic of vibration fatigue, including the 2013 titled Frequency-domain methods for a vibration-fatigue-life estimation - Application to real data which is the #3 cited paper in International Journal of Fatigue. He is also on the editorial board of the Mechanical Systems and Signal Processing (IF=5.00). He was the Fulbright scholar at the University of Texas at Austin. Google Scholar counts more than 1500 citations, close to 400 in first half of 2020 alone.
Dr. Miha Boltezar, is Professor of Mechanics and Chair of Mechanics at the Faculty of Mechanical Engineering, University of Ljubljana. He has published close to 120 SCI journal papers, has h index 20, wrote one textbook (in Slovenian) and supervised close to 30 finished PhD students, currently he is supervising 7 PhD students. He is also the head of the Laboratory for dynamics of machines and structures (total 15-20 researchers, PhD students and 3 professors). He has 1030 citations in WoS.
Inhaltsangabe
1. Introduction
Part 1: Theoretical Background2. Structural Dynamics3. Signal Processing4. Experimental Modal Analysis5. Uniaxial Vibration Fatigue6. Multiaxial Vibration Fatigue7. Vibration Fatigue Analysis Using Modal Decomposition8. Identification of Non-stationary and Non-Gaussian Excitation
Part 2: Experimental Research9. Harmonic Accelerated Vibration-fatigue Testing10. Harmonic vs. Random Excitation11. Frequency Domain Methods for Fatigue Life Estimation12. Multiaxial Vibration Fatigue13. Vibration Fatigue for Non-stationary and Non-Gaussian Excitation
Part 1: Theoretical Background2. Structural Dynamics3. Signal Processing4. Experimental Modal Analysis5. Uniaxial Vibration Fatigue6. Multiaxial Vibration Fatigue7. Vibration Fatigue Analysis Using Modal Decomposition8. Identification of Non-stationary and Non-Gaussian Excitation
Part 2: Experimental Research9. Harmonic Accelerated Vibration-fatigue Testing10. Harmonic vs. Random Excitation11. Frequency Domain Methods for Fatigue Life Estimation12. Multiaxial Vibration Fatigue13. Vibration Fatigue for Non-stationary and Non-Gaussian Excitation
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