SAOUDI, Abdelhamid ;BOUAZARA, Mohamed ;MARCEAU, Daniel . Fatigue Failure Study of the Lower Suspension Vehicle Arm Using a Multiaxial Criterion of the Strain Energy Density. Strojniški vestnik - Journal of Mechanical Engineering, [S.l.], v. 57, n.4, p. 345-356, june 2018. ISSN 0039-2480. Available at: <https://www.sv-jme.eu/sl/article/fatigue-failure-study-of-the-lower-suspension-vehicle-arm-using-a-multiaxial-criterion-of-the-strain-energy-density/>. Date accessed: 20 dec. 2024. doi:http://dx.doi.org/10.5545/sv-jme.2009.074.
Saoudi, A., Bouazara, M., & Marceau, D. (2011). Fatigue Failure Study of the Lower Suspension Vehicle Arm Using a Multiaxial Criterion of the Strain Energy Density. Strojniški vestnik - Journal of Mechanical Engineering, 57(4), 345-356. doi:http://dx.doi.org/10.5545/sv-jme.2009.074
@article{sv-jmesv-jme.2009.074,
author = {Abdelhamid Saoudi and Mohamed Bouazara and Daniel Marceau},
title = {Fatigue Failure Study of the Lower Suspension Vehicle Arm Using a Multiaxial Criterion of the Strain Energy Density},
journal = {Strojniški vestnik - Journal of Mechanical Engineering},
volume = {57},
number = {4},
year = {2011},
keywords = {fatigue failure; vehicle; dynamic; suspension; aluminium},
abstract = {The objective of this study is to evaluate the potential of light alloy mechanical part use in automobile industry by studying their fatigue life using various parameters such as effect of suspension dynamic, excitation type, geometry and mechanical part weight. The studied part is the lower suspension arm made from 7075-T6 aluminium alloy. The strain density energy approach enables us to compare two same order tensor: the multiaxial and uniaxial cases. The random displacement excitation is obtained analytically from the power spectral density PSD. The force excitation is obtained by a simple normalisation of spectrum displacement. To avoid the use of Newton-Raphson method during the partial fatigue life calculation step in all mesh elements, a Matlab interface to identify the critical elements is developed. The strain energy density (SENER) signal of the critical element is corrected to remove anomalies by WAFO Matlab interface algorithm. Rainflow cycles are extracted using Markov formulation in order to calculate the number of signal repetitions to failure, which is calculated from Miner law.},
issn = {0039-2480}, pages = {345-356}, doi = {10.5545/sv-jme.2009.074},
url = {https://www.sv-jme.eu/sl/article/fatigue-failure-study-of-the-lower-suspension-vehicle-arm-using-a-multiaxial-criterion-of-the-strain-energy-density/}
}
Saoudi, A.,Bouazara, M.,Marceau, D. 2011 June 57. Fatigue Failure Study of the Lower Suspension Vehicle Arm Using a Multiaxial Criterion of the Strain Energy Density. Strojniški vestnik - Journal of Mechanical Engineering. [Online] 57:4
%A Saoudi, Abdelhamid %A Bouazara, Mohamed %A Marceau, Daniel %D 2011 %T Fatigue Failure Study of the Lower Suspension Vehicle Arm Using a Multiaxial Criterion of the Strain Energy Density %B 2011 %9 fatigue failure; vehicle; dynamic; suspension; aluminium %! Fatigue Failure Study of the Lower Suspension Vehicle Arm Using a Multiaxial Criterion of the Strain Energy Density %K fatigue failure; vehicle; dynamic; suspension; aluminium %X The objective of this study is to evaluate the potential of light alloy mechanical part use in automobile industry by studying their fatigue life using various parameters such as effect of suspension dynamic, excitation type, geometry and mechanical part weight. The studied part is the lower suspension arm made from 7075-T6 aluminium alloy. The strain density energy approach enables us to compare two same order tensor: the multiaxial and uniaxial cases. The random displacement excitation is obtained analytically from the power spectral density PSD. The force excitation is obtained by a simple normalisation of spectrum displacement. To avoid the use of Newton-Raphson method during the partial fatigue life calculation step in all mesh elements, a Matlab interface to identify the critical elements is developed. The strain energy density (SENER) signal of the critical element is corrected to remove anomalies by WAFO Matlab interface algorithm. Rainflow cycles are extracted using Markov formulation in order to calculate the number of signal repetitions to failure, which is calculated from Miner law. %U https://www.sv-jme.eu/sl/article/fatigue-failure-study-of-the-lower-suspension-vehicle-arm-using-a-multiaxial-criterion-of-the-strain-energy-density/ %0 Journal Article %R 10.5545/sv-jme.2009.074 %& 345 %P 12 %J Strojniški vestnik - Journal of Mechanical Engineering %V 57 %N 4 %@ 0039-2480 %8 2018-06-28 %7 2018-06-28
Saoudi, Abdelhamid, Mohamed Bouazara, & Daniel Marceau. "Fatigue Failure Study of the Lower Suspension Vehicle Arm Using a Multiaxial Criterion of the Strain Energy Density." Strojniški vestnik - Journal of Mechanical Engineering [Online], 57.4 (2011): 345-356. Web. 20 Dec. 2024
TY - JOUR AU - Saoudi, Abdelhamid AU - Bouazara, Mohamed AU - Marceau, Daniel PY - 2011 TI - Fatigue Failure Study of the Lower Suspension Vehicle Arm Using a Multiaxial Criterion of the Strain Energy Density JF - Strojniški vestnik - Journal of Mechanical Engineering DO - 10.5545/sv-jme.2009.074 KW - fatigue failure; vehicle; dynamic; suspension; aluminium N2 - The objective of this study is to evaluate the potential of light alloy mechanical part use in automobile industry by studying their fatigue life using various parameters such as effect of suspension dynamic, excitation type, geometry and mechanical part weight. The studied part is the lower suspension arm made from 7075-T6 aluminium alloy. The strain density energy approach enables us to compare two same order tensor: the multiaxial and uniaxial cases. The random displacement excitation is obtained analytically from the power spectral density PSD. The force excitation is obtained by a simple normalisation of spectrum displacement. To avoid the use of Newton-Raphson method during the partial fatigue life calculation step in all mesh elements, a Matlab interface to identify the critical elements is developed. The strain energy density (SENER) signal of the critical element is corrected to remove anomalies by WAFO Matlab interface algorithm. Rainflow cycles are extracted using Markov formulation in order to calculate the number of signal repetitions to failure, which is calculated from Miner law. UR - https://www.sv-jme.eu/sl/article/fatigue-failure-study-of-the-lower-suspension-vehicle-arm-using-a-multiaxial-criterion-of-the-strain-energy-density/
@article{{sv-jme}{sv-jme.2009.074},
author = {Saoudi, A., Bouazara, M., Marceau, D.},
title = {Fatigue Failure Study of the Lower Suspension Vehicle Arm Using a Multiaxial Criterion of the Strain Energy Density},
journal = {Strojniški vestnik - Journal of Mechanical Engineering},
volume = {57},
number = {4},
year = {2011},
doi = {10.5545/sv-jme.2009.074},
url = {https://www.sv-jme.eu/sl/article/fatigue-failure-study-of-the-lower-suspension-vehicle-arm-using-a-multiaxial-criterion-of-the-strain-energy-density/}
}
TY - JOUR AU - Saoudi, Abdelhamid AU - Bouazara, Mohamed AU - Marceau, Daniel PY - 2018/06/28 TI - Fatigue Failure Study of the Lower Suspension Vehicle Arm Using a Multiaxial Criterion of the Strain Energy Density JF - Strojniški vestnik - Journal of Mechanical Engineering; Vol 57, No 4 (2011): Strojniški vestnik - Journal of Mechanical Engineering DO - 10.5545/sv-jme.2009.074 KW - fatigue failure, vehicle, dynamic, suspension, aluminium N2 - The objective of this study is to evaluate the potential of light alloy mechanical part use in automobile industry by studying their fatigue life using various parameters such as effect of suspension dynamic, excitation type, geometry and mechanical part weight. The studied part is the lower suspension arm made from 7075-T6 aluminium alloy. The strain density energy approach enables us to compare two same order tensor: the multiaxial and uniaxial cases. The random displacement excitation is obtained analytically from the power spectral density PSD. The force excitation is obtained by a simple normalisation of spectrum displacement. To avoid the use of Newton-Raphson method during the partial fatigue life calculation step in all mesh elements, a Matlab interface to identify the critical elements is developed. The strain energy density (SENER) signal of the critical element is corrected to remove anomalies by WAFO Matlab interface algorithm. Rainflow cycles are extracted using Markov formulation in order to calculate the number of signal repetitions to failure, which is calculated from Miner law. UR - https://www.sv-jme.eu/sl/article/fatigue-failure-study-of-the-lower-suspension-vehicle-arm-using-a-multiaxial-criterion-of-the-strain-energy-density/
Saoudi, Abdelhamid, Bouazara, Mohamed, AND Marceau, Daniel. "Fatigue Failure Study of the Lower Suspension Vehicle Arm Using a Multiaxial Criterion of the Strain Energy Density" Strojniški vestnik - Journal of Mechanical Engineering [Online], Volume 57 Number 4 (28 June 2018)
Strojniški vestnik - Journal of Mechanical Engineering 57(2011)4, 345-356
© The Authors, CC-BY 4.0 Int. Change in copyright policy from 2022, Jan 1st.
The objective of this study is to evaluate the potential of light alloy mechanical part use in automobile industry by studying their fatigue life using various parameters such as effect of suspension dynamic, excitation type, geometry and mechanical part weight. The studied part is the lower suspension arm made from 7075-T6 aluminium alloy. The strain density energy approach enables us to compare two same order tensor: the multiaxial and uniaxial cases. The random displacement excitation is obtained analytically from the power spectral density PSD. The force excitation is obtained by a simple normalisation of spectrum displacement. To avoid the use of Newton-Raphson method during the partial fatigue life calculation step in all mesh elements, a Matlab interface to identify the critical elements is developed. The strain energy density (SENER) signal of the critical element is corrected to remove anomalies by WAFO Matlab interface algorithm. Rainflow cycles are extracted using Markov formulation in order to calculate the number of signal repetitions to failure, which is calculated from Miner law.