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Synthesis of Accelerated and More Realistic Vibration Endurance Tests Using Kurtosis
Technical Paper
2016-01-0275
ISSN: 0148-7191, e-ISSN: 2688-3627
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English
Abstract
Ground vehicle components are designed to withstand the real operational conditions they will experience during their service life. Vibration tests are performed to qualify their endurance. In order to replicate the same failure mechanism as in real conditions, the test specification must be representative of the service loads.
The accelerated testing method, based on fatigue damage spectra (FDS), is a process for deriving a synthesized power spectral density (PSD) representing a random stationary Gaussian excitation and applied over a reduced duration.
In real life, however, it is common that service loading includes non-Gaussian excitations. The consequences of not using a representative test signal during product validation testing are a higher field failure rate and added warranty costs.
The objective of this paper is to describe a method for synthesizing a PSD test specification with a given kurtosis value, which represents a nonstationary non-Gaussian signal. Since a high kurtosis value will invariably increase the fatigue damage, kurtosis can be used to reduce the test duration, possibly in addition to the load amplification method. The relationship between kurtosis, fatigue damage, and test duration is also addressed in this paper.
Test profiles can be used in both physical tests and Finite Element Analysis (FEA)-based simulations. Durability simulations based on FEA help to optimize the design of a component and can significantly reduce the number of prototypes required.
An example excitation signal measured at an automotive manufacturer is used throughout the paper to illustrate the application of the method.
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Citation
Kihm, F., Halfpenny, A., and Munson, K., "Synthesis of Accelerated and More Realistic Vibration Endurance Tests Using Kurtosis," SAE Technical Paper 2016-01-0275, 2016, https://doi.org/10.4271/2016-01-0275.Also In
References
- Halfpenny A. and Kihm F. Mission Profiling and Test Synthesis based on fatigue damage spectrum. Ref. FT342 9th Int. Fatigue Congress Atlanta, USA 2006
- Halfpenny A. et Walton T. C. Using the FDS to determine flight qualification of vibrating components on helicopters Astelab Paris 2009
- Lalanne C. Mechanical Vibration and Shock Analysis, Specification Development (Vol. 5) John Wiley & Sons 2013
- Charles D. Derivation of Environment Descriptions and Test Severities from Measured Road Transportation Data Journal of the Institute of Environmental Sciences, 37 42 1993
- Rouillard V. On the Non-Gaussian Nature of Random Vehicle Vibrations World Congress on Engineering 1219 1224 2007
- Richards D. A Review of Analysis and Assessment Methodologies for Road Transportation Vibration and Shock Data Environmental Engineering, 23 26 1990
- NATO Standardisation Agency STANAG 4370. AECTP 200 (Edition 3) Mechanical Conditions NATO 2006
- UK Ministry of Defence Defence Standard 00-35 Issue 4 (2006) Environmental Handbook for Defence Materiel: Part 3: Environmental Test Methods
- USA Department of Defense Test Method Styandard MIL-STD-810G Environmental Engineeering Considerations and Laboratory Tests 2008
- Lalanne C. Mechanical Vibration and Shock Analysis, Fatigue Damage (Vol. 4) John Wiley & Sons 2010
- Halfpenny A. A practical introduction to fatigue New technology, MIRA Nuneaton, Warwickshire, UK 2001
- Kihm F. , Rizzi S. and Ferguson N. Understanding how kurtosis is transferred from input acceleration to stress response and its influence on fatigue life 11th International Conference RASD Pisa 2013
- Kihm F. , Ferguson N. and Antoni J. Understanding Fatigue life from kurtosis controlled excitations 6th Fatigue Design conference Senlis, France 2015
- Smallwood D. Vibration with non-Gaussian noise Journal of the Institute of Environmental Sciences and Technology, 52 3 13 30 2009
- Gardner W. A. The spectral correlation theory of cyclostationary time-series Signal processing, 11 1 13 36 1986
- Antoni J. Cyclostationarity by examples Mechanical Systems and Signal Processing, 23 4 987 1036 2009
- Papoulis A. Probability, Random Variables, and Stochastic Processes McGraw-Hill, Inc. 1991
- Miner M. A. Cumulative damage in fatigue Journal of Applied Mechanics, 67 159 164 1945
- Halfpenny A. Rainflow cycle counting and fatigue analysis from PSD Proceedings of the ASTELAB Conference Paris 2007