PSI - Issue 57

Sven Maier et al. / Procedia Structural Integrity 57 (2024) 731–742

742

12

S. Maier et al. / Structural Integrity Procedia 00 (2023) 000±000

be found. With decreasing eigenfrequencies a decrease in fatigue lifetime could be observed. This correlation and the improved simulation accuracy with the measured data were also found for two additional variants with modifi cations in relevant influencing parameters (increased mass, reduced sti ff ness). The presented probabilistic simulation approach with the measurement of characteristic quantities for the vibration behaviour allows an enhanced evaluation of uncertain influencing parameters and a robustness analysis in comparison to a deterministic approach.

References

Adams, V., & Askenazi, A., 1999. Building better products with finite element analysis. Santa Fe, NM: OnWord Press. Benasciutti, D., & Tovo, R., 2005. Spectral methods for lifetime prediction under wide-band stationary random processes. International Journal of fatigue, 27(8), 867-877. Bishop, N. W. M., 1999. Vibration fatigue analysis in the finite element environment. XVI encuentro del grupo espan˜ol de fractura, Spain. Broding, W. C., Diederich, F. W., & Parker, P. S, 1964. Structural optimization and design based on a reliability design criterion. Journal of Spacecraft and Rockets, 1(1), 56-61. Daouk, S., Louf, F., Dorival, O., Champaney, L., & Audebert, S., 2015. Uncertainties in structural dynamics: overview and comparative analysis of methods. Mechanics & Industry, 16(4), 404. Dirlik, T. (1985). Application of computers in fatigue analysis (Doctoral dissertation, University of Warwick). Decker, M., Kinscherf, S., Bauer, N., David, P., & Serifsoy, M., 2018. Deriving fatigue equivalent power spectral density spectra for the vibration testing of engine components: Ableitung schaÈdigungsaÈquivalenter Leistungsdichtespektren fuÈr die VibrationspruÈfung von Motoranbauteilen. Materialwissenschaft und Werksto ff technik, 49(3), 392-405. Janssen, H. 2013. Monte-Carlo based uncertainty analysis: Sampling e ffi ciency and sampling convergence. Reliability Engineering & System Safety, 109, 123-132. Jehle, J. S., Lange, V. A., & Gerdts, M., 2022. Proposing an uncertainty management framework to implement the evidence theory for vehicle crash applications. ASCE-ASME J Risk and Uncert in Engrg Sys Part B Mech Engrg, 8(2). Luegmair, M., & Schmid, J. D., 2020. Challenges in vibroacoustic vehicle body simulation including uncertainties (No. 2020-01-1571). SAE Technical Paper. Maier, S. & Bachmann, F., 2023. Concept study for consideration of scattering input parameters in structural durability simulations applied to automotive components submitted to vibration loads. [Conference presentation] ECS Simulation Conference, Linz, Austria. Melchers, R. E., & Beck, A. T., 2018. Structural reliability analysis and prediction. John wiley & sons. Pelz, P. F., Groche, P., Pfetsch, M. E., & Schae ff ner, M., 2021. Mastering uncertainty in mechanical engineering. Springer Nature. Schueller, G.I., 2007. On the treatment of uncertainties in structural mechanics and analysis. Computers & Structures, Volume 85, Issues 5±6, 235-243.