Evaluation of Approximative Methods for Rainflow Damage of Broad-Banded Non-Gaussian Random Loads

Author:

Karlsson Magnus1

Affiliation:

1. Chalmers University of Technology

Abstract

Two different methods for approximating the fatigue damage of broad banded non-Gaussian random loads using the rainflow cycle count method are evaluated using loads measured on a truck. Results for Gaussian loads are summarized, and transformations for non-Gaussian loads are discussed. One of the two methods is based on the spectral moments of the process, and the results are obtained as a linear combination of an upper and lower bound. The second method is based on the assumption that the sequence of turning points of the load can be considered a Markov chain, for which results can be obtained. Measurements performed on different markets are used to study the two methods. Results are presented in terms of expected damage and amplitude spectra. Problems and possible improvements of the models are discussed.

Publisher

ASMEDC

Reference27 articles.

1. Benasciutti D. , TovoR., 2005, “Cycle distribution and fatigue damage assessment in broad-band non-Gaussian random processes,” Prob. Eng. Mech., 20, pp. 115–127.

2. Rychlik I., 1999, “Rainflow cycles, Markov chains, and electrical circuits,” Proc., 4th International Conference on Stochastic Structural Dynamics, E. A. Johnson et al., eds., Taylor & Francis, pp. 229–234.

3. Kihl D. P. , SarkaniS., BeachJ. E., 1995, “Stochastic fatigue damage accumulation under broadband loadings,” Int. J Fatigue, 17, pp. 321–329.

4. Sjo¨stro¨m S. , 1961, “On random load analysis,” Trans. of the Royal Institute of Technology; 161, pp. 1–41.

5. Sherratt F. , BishopN. W. M., 1990, “A theoretical solution for the estimation of ‘rainflow’ ranges from power spectral density data,” Fatigue Fract. Engng Mater. Struct., 13, pp. 311–326.

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