Synthesis and validation of accelerated vibration durability tests

Bonato, Marco; Delaux, David

doi:10.1109/rams.2015.7105195

Cited by 7 publications

(2 citation statements)

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“…A priori, it is difficult to quantify the severity of such different signals. It was decided to use the method of equivalent fatigue damage to transform the entire signal into an iso-duration random PSD [6] The sinus part and the random part are accumulated into one PSD signal, which is expected to bears at least the same content of fatigue damage of the total sinus-plus-random signal. The PSD is scaled to 30 hours, to be compared with the "old" PSD signal.…”

Section: Methods Of Fatigue Damage Equivalence For the Analysis Of A Nmentioning

confidence: 99%

Methods for analysis and comparison of automotive vibration tests

Bonato

Goge

2016

2016 Annual Reliability and Maintainability Symposium (RAMS)

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& CONCLUSIONSVibration qualification tests are currently indispensable for vehicle manufacturers and their suppliers. Carmakers' specifications are therefore conceived to challenge the mechanical endurance of car components face to numerous inservice detrimental phenomena: fatigue damage, shocks or accidents, and mechanical degradation. The vibration signals used in the automotive industry are of various types (random, harmonic, shock pulses) and are becoming more and more complex (multi-random, swept-sine-on-random etc.), covering different frequency ranges. With automotive business requiring new product development to be faster, a robust methodology that permits to easily compare and quantify the severity of a vibration specification would be advantageous from a design of reliability perspective.The objective of this paper is to illustrate a set of tools that can be applied to the comparison of vibration specification signals used to validate the mechanical endurance of car components undergoing stressing vibration loadings. The paper will describe different criteria and new innovative methodologies adopted to perform the required comparison, from quick and effective specification analysis, to even more complex purposes (for example when building a new generic vibration signal for early product development).Following a brief theoretical introduction, several case studies will show practical applications of the methodology.

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Section: Methods Of Fatigue Damage Equivalence For the Analysis Of A Nmentioning

confidence: 99%

Methods for analysis and comparison of automotive vibration tests

Bonato

Goge

2016

2016 Annual Reliability and Maintainability Symposium (RAMS)

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“…To address this problem, the response spectrum method was utilized to evaluate the potential damage introduced by the vibration environment. An accelerated test spectrum was then synthesized from the response spectra based on the damage equivalence criterion [11][12][13]. To perform life cycle potential damage assessment and test tailoring, Lalanne [14] derived an equivalent PSD from multiple task profiles based on the frequency domain fatigue damage spectrum (FDS).…”

Section: Introductionmentioning

confidence: 99%

Optimization of Damage Equivalent Accelerated Test Spectrum Derivation Using Multiple Non‐Gaussian Vibration Data

2021

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The response spectra are widely used in the damage assessment of non-Gaussian random vibration environments and the derivation of damage equivalent accelerated test spectrum. The effectiveness of the latter is strongly affected by modal parameter uncertainties, multiple field data processing, and the nonsmooth shape of the derived power spectral density (PSD). Optimization of accelerated test spectrum derivation based on dynamic parameter selection and iterative update of spectrum envelope is presented in this paper. The extreme response spectrum (ERS) envelope of the field data is firstly taken as the limiting spectrum, and the corresponding relationship between damping coefficient, fatigue exponent, and damage equivalent PSD under different test times is constructed to achieve the dynamic selection of uncertain parameters in the response spectrum model. Then, an iterative update model based on the weighted sum of fatigue damage spectrum (FDS) error is presented to reduce the error introduced by the nonsmooth shape of the derived PSD. The case study shows that undertest can be effectively avoided by the dynamic selection of model parameters. The weighted error is reduced from 80.1% to 7.5% after 7 iterations. Particularly, the error is close to 0 within the peak and valley frequency band.

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Aggravated Testing

2023

Applied Reliability for Industry 2

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Synthesis and validation of accelerated vibration durability tests

Cited by 7 publications

References 1 publication

Methods for analysis and comparison of automotive vibration tests

Methods for analysis and comparison of automotive vibration tests

Optimization of Damage Equivalent Accelerated Test Spectrum Derivation Using Multiple Non‐Gaussian Vibration Data

Aggravated Testing

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