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TECHNICAL PAPERS

Alternative Fatigue Lifetime Prediction Formulations for Variable-Amplitude Loading

[+] Author and Article Information
R. P. L. Nijssen, D. R. V. van Delft, A. M. van Wingerde

Delft University of Technology, WMC-Group, Delft, The Netherlands

J. Sol. Energy Eng 124(4), 396-403 (Nov 08, 2002) (8 pages) doi:10.1115/1.1510524 History: Received March 01, 2002; Revised July 01, 2002; Online November 08, 2002
Copyright © 2002 by ASME
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References

Figures

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Relation between SN-curve and constant life diagram
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WISPER (left) and WISPERX (right) load sequences
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Location of the WISPER cycles in the σmean–σamp-plane
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Dimensions of the test specimen (mm)
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Two-branch SN-curves for WISPER
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Constant amplitude tests at R = 0.1
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Results of lifetime prediction with log-log SN-curve and linear Goodman diagram
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Results of lifetime prediction with lin-log SN-curve and linear Goodman diagram
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Results of lifetime prediction for WISPER using SN-curves from Fig. 5 and linear Goodman diagram
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Steep log-log SN-curves for WISPER (exponent = −7.5) and WISPERX (−8)
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Results of lifetime prediction using steep SN-curves from Fig. 10 and linear Goodman diagram
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Comparison between classical Goodman diagram (continuous lines) and alternative constant-life diagram for a log-log SN-curve
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Results of lifetime prediction for log-log SN-curve and alternative constant-life diagram
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Results of lifetime prediction for lin-log SN-curve and alternative constant-life diagram
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The R = 0.1 SN-curve cannot be predicted by the classical or the alternative constant-life diagram
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Comparison between classical and alternative versions of constant-life diagram with R = 0.1 data
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Results of lifetime prediction with log-log SN-curve and classical constant-life diagram with R = 0.1 data
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Results of lifetime prediction with lin-log SN-curve and classical constant-life diagram with R = 0.1 data
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Results of lifetime prediction with log-log SN-curve and alternative constant-life diagram with R = 0.1 data
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Results of lifetime prediction with lin-log SN-curve and alternative constant-life diagram with R = 0.1 data

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