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Establishing Energy-Damage Relationship for Fatigue Data Editing of Strain Loading History


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DOI: https://doi.org/10.15866/ireme.v12i7.14426

Abstract


This study presents the fatigue data editing (FDE) technique by establishing the relationship between wavelet energy and damage. Wavelet-energy-based FDE techniques have been widely studied but there is no effective guideline to estimate the energy gate value for extraction of high-energy cycles. Hence, the relationship between wavelet energy and fatigue damage needs to be known to accurately predict the gate value. The strain signal was collected from a car suspension coil spring while the car was being driven in a residential area. Continuous wavelet transform was used to compute the wavelet energy in the signal. An energy–damage relationship was established and a gate value was estimated. The results showed damage retention of 97% and signal length reduction of 95% in the mission signal using the estimated gate value. This indicates that the energy-damage relationship is effective for estimating the energy gate value for FDE. Hence, knowing the energy–damage relationship is important in wavelet-energy-based FDE as a guideline for estimating the energy gate value. This significantly improves the efficiency of the FDE process while reducing the duration of the analysis.
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Keywords


Fatigue Data Editing; Continuous Wavelet Transform; Fatigue Damage; Wavelet Energy

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References


D.-H. Jung and A. Gafurov, Reliability achievement of the driving system parts through development of vibration-fatigue evaluation method, Procedia Engineering, Vol. 10, pp. 1906-1916, 2011.
http://dx.doi.org/10.1016/j.proeng.2011.04.317

Shah, A., Gurav, S., Joshi, S., Fatigue Life Prediction of Steering Axle for Heavy Duty Truck Under Variable Amplitude Loading, (2017) International Review of Mechanical Engineering (IREME), 11 (7), pp. 499-504.
http://dx.doi.org/10.15866/ireme.v11i7.12867

F. Morel, A critical plane approach for life prediction of high cycle fatigue under multiaxial variable amplitude loading, International Journal of Fatigue, Vol. 22, n. 2, pp. 101-119, 2000.
http://dx.doi.org/10.1016/s0142-1123(99)00118-8

D. S. Paraforos, H. W. Griepentrog, S. G. Vougioukas, and D. Kortenbruck, Fatigue life assessment of a four-rotor swather based on rainflow cycle counting, Biosystems Engineering, Vol. 127, pp. 1-10, 2014.
http://dx.doi.org/10.1016/j.biosystemseng.2014.08.006

M. Mršnik, J. Slavič, and M. Boltežar, Frequency-domain methods for a vibration-fatigue-life estimation – Application to real data, International Journal of Fatigue, Vol. 47, pp. 8-17, 2013.
http://dx.doi.org/10.1016/j.ijfatigue.2012.07.005

M. Palmieri, M. Česnik, J. Slavič, F. Cianetti, and M. Boltežar, Non-Gaussianity and non-stationarity in vibration fatigue, International Journal of Fatigue, Vol. 97, pp. 9-19, 2017.
http://dx.doi.org/10.1016/j.ijfatigue.2016.12.017

Y. S. Kong, S. Abdullah, D. Schramm, M. Z. Omar, S. M. Haris, and T. Bruckmann, Mission profiling of road data measurement for coil spring fatigue life, Measurement, Vol. 107, pp. 99–110, 2017.
http://dx.doi.org/10.1016/j.measurement.2017.05.011

Z. M. Nopiah, A. Lennie, S. Abdullah, M. Z. Nuawi, A. Z. Nuryazmin, and M. N. Baharin, Effect of fatigue strain data behaviour using cycle counting method (2012), International Review of Mechanical Engineering (IREME), Vol. 6, n. 3, pp. 644–648.

A. K. M. Shafiullah and C. Q. Wu, Generation and validation of loading profiles for highly accelerated durability tests of ground vehicle components, Engineering Failure Analysis, Vol. 33, pp. 1-16, 2013.
http://dx.doi.org/10.1016/j.engfailanal.2013.04.008

C.-S. Oh, Application of wavelet transform in fatigue history editing, International Journal of Fatigue, Vol. 23, no. 3, pp. 241–250, 2001.
http://dx.doi.org/10.1016/s0142-1123(00)00091-8

S. Abdullah, J. C. Choi, J. A. Giacomin, and J. R. Yates, Bump extraction algorithm for variable amplitude fatigue loading, International Journal of Fatigue, Vol. 28, n. 7, pp. 675–691, 2006.
http://dx.doi.org/10.1016/j.ijfatigue.2005.09.003

T. E. Putra, S. Abdullah, D. Schramm, M. Z. Nuawi, and T. Bruckmann, Reducing cyclic testing time for components of automotive suspension system utilising the wavelet transform and the Fuzzy C-Means, Mechanical Systems and Signal Processing, Vol. 90, pp. 1-14, 2017.
http://dx.doi.org/10.1016/j.ymssp.2016.12.001

S. Duraffourg, P. Argoul, E. Vasseur, and G. Cumunel, New Spot Weld Fatigue Criteria and Fatigue Data Editing Technique, Procedia Engineering, Vol. 133, pp. 433-453, 2015.
http://dx.doi.org/10.1016/j.proeng.2015.12.614

T. E. Putra, S. Abdullah, D. Schramm, M. Z. Nuawi, and T. Bruckmann, Generating strain signals under consideration of road surface profiles, Mechanical Systems and Signal Processing, Vol. 60–61, pp. 485–497, 2015.
http://dx.doi.org/10.1016/j.ymssp.2015.01.031

S. Schoenborn, H. Kaufmann, C. M. Sonsino, and R. Heim, Variable amplitude fatigue of high-strength cast iron alloys for automotive applications, International Journal of Fatigue, Vol. 91, pp. 445–458, 2016
http://dx.doi.org/10.1016/j.ijfatigue.2016.01.006

N. Theil, Fatigue life prediction method for the practical engineering use taking in account the effect of the overload blocks, International Journal of Fatigue, Vol. 90, pp. 23–35, 2016.
http://dx.doi.org/10.1016/j.ijfatigue.2016.04.006

M. Solís, M. Algaba, and P. Galvín, “Continuous wavelet analysis of mode shapes differences for damage detection,” Mechanical Systems and Signal Processing, Vol. 40, n. 2, pp. 645–666, 2013.
http://dx.doi.org/10.1016/j.ymssp.2013.06.006

W. Amin, M. R. Davis, G. A. Thomas, and D. S. Holloway, Analysis of wave slam induced hull vibrations using continuous wavelet transforms, Ocean Engineering, Vol. 58, pp. 154-166, 2013.
http://dx.doi.org/10.1016/j.oceaneng.2012.10.011

A. Alhasan, D. J. White, and K. De Brabanterb, Continuous wavelet analysis of pavement profiles, Automation in Construction, Vol. 63, pp. 134-43, 2016.
http://dx.doi.org/10.1016/j.autcon.2015.12.013

N. A. Kadhim, S. Abdullah, and A. K. Ariffin, Effect of the fatigue data editing technique associated with finite element analysis on the component fatigue design period, Materials & Design, Vol. 32, n. 2, pp. 1020–1030, 2011.
http://dx.doi.org/10.1016/j.matdes.2010.07.029

Keskes, B., Abbadi, A., Azari, Z., Bouaouadja, N., Static and Fatigue Characterization of Nomex Honeycomb Sandwich Panels, (2015) International Review of Civil Engineering (IRECE), 6 (4), pp. 81-87.
http://dx.doi.org/10.15866/irece.v6i4.7971


Alshoaibi, A., Ariffin, A., Finite Element Modeling of Fatigue Crack Propagation Using a Self Adaptive Mesh Strategy, (2015) International Review of Aerospace Engineering (IREASE), 8 (6), pp. 209-215.
http://dx.doi.org/10.15866/irease.v8i6.8823


Bey, K., Fatmi, L., Saad, S., El-Mahi, A., Effect of Different Cyclic Signals on Three-Points-Bending Behavior of a Fibreglass and Epoxy Resin Composite Materials, (2015) International Review of Civil Engineering (IRECE), 6 (1), pp. 21-24
http://dx.doi.org/10.15866/irece.v6i1.6555


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