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Predictions of Crack Growth Rates, R-Ratio and Overload Effects Based on Smooth Specimen LCF Data and the Moving Plastic Stress Field Ahead of the Crack Tip
Materials, Volume: 19, Issue: 11, Pages: 2411 - 2411
Swansea University Authors:
STEPHEN WILLIAMS, Mark Whittaker
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DOI (Published version): 10.3390/ma19112411
Abstract
The use of the stress intensity factor K to characterize the severity of crack tip stress fields is widespread throughout engineering. The relationship between K and the crack growth rate is then usually represented empirically by a straight line Paris law relationship on logarithmic axes. This stud...
| Published in: | Materials |
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| ISSN: | 1996-1944 |
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MDPI AG
2026
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| URI: | https://cronfa.swan.ac.uk/Record/cronfa72080 |
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2026-06-15T12:48:28.8555958 v2 72080 2026-06-15 Predictions of Crack Growth Rates, R-Ratio and Overload Effects Based on Smooth Specimen LCF Data and the Moving Plastic Stress Field Ahead of the Crack Tip 049a0935afb0021860a07023deb70165 STEPHEN WILLIAMS STEPHEN WILLIAMS true false a146c6d442cb2c466d096179f9ac97ca 0000-0002-5854-0726 Mark Whittaker Mark Whittaker true false 2026-06-15 The use of the stress intensity factor K to characterize the severity of crack tip stress fields is widespread throughout engineering. The relationship between K and the crack growth rate is then usually represented empirically by a straight line Paris law relationship on logarithmic axes. This study develops an analytical relationship between the two by linking crack growth to the accumulation of fatigue damage ahead of the moving crack tip. A stress-based fatigue model was used, with inputs from plastic 2D plane stress FE analyses representing an edge crack by a sharp semi-circular notch. Stress–distance profiles ahead of the crack tip were extracted at the maximum and minimum points of a range of fatigue loading cycles. These were then used with data from smooth specimen LCF tests to predict the build-up of fatigue damage at regularly spaced locations ahead of the crack tip and hence crack growth rates. Full da/dN–ΔK curves were generated for the nickel-based superalloy RR1000 at 20 °C with loading R-ratios of 0, −1 and 0.5. The R = 0 and R = −1 crack growth rate predictions agreed well with experimental data, as did the steeper growth rate slope calculated at R = 0.5. The method was then extended to predict overload behaviour. Journal Article Materials 19 11 2411 2411 MDPI AG 1996-1944 crack growth; LCF; strip yield models; plasticity; R-ratio effects; overloads 5 6 2026 2026-06-05 10.3390/ma19112411 COLLEGE NANME COLLEGE CODE Swansea University Other The work was carried out as part of an EPSRC-funded iCASE Ph.D. programme under project EP/V519601/1 with top-up funding from Rolls-Royce plc. 2026-06-15T12:48:28.8555958 2026-06-15T12:39:31.8228496 Faculty of Science and Engineering School of Engineering and Applied Sciences - Materials Science and Engineering STEPHEN WILLIAMS 1 Mark Whittaker 0000-0002-5854-0726 2 Mark Hardy 3 72080__36969__5a10e8f2a20947509ff918123f3add8c.pdf 72080.VOR.pdf 2026-06-15T12:46:50.8461409 Output 10468685 application/pdf Version of Record true © 2026 by the authors. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license. true eng https://creativecommons.org/licenses/by/4.0/ |
| title |
Predictions of Crack Growth Rates, R-Ratio and Overload Effects Based on Smooth Specimen LCF Data and the Moving Plastic Stress Field Ahead of the Crack Tip |
| spellingShingle |
Predictions of Crack Growth Rates, R-Ratio and Overload Effects Based on Smooth Specimen LCF Data and the Moving Plastic Stress Field Ahead of the Crack Tip STEPHEN WILLIAMS Mark Whittaker |
| title_short |
Predictions of Crack Growth Rates, R-Ratio and Overload Effects Based on Smooth Specimen LCF Data and the Moving Plastic Stress Field Ahead of the Crack Tip |
| title_full |
Predictions of Crack Growth Rates, R-Ratio and Overload Effects Based on Smooth Specimen LCF Data and the Moving Plastic Stress Field Ahead of the Crack Tip |
| title_fullStr |
Predictions of Crack Growth Rates, R-Ratio and Overload Effects Based on Smooth Specimen LCF Data and the Moving Plastic Stress Field Ahead of the Crack Tip |
| title_full_unstemmed |
Predictions of Crack Growth Rates, R-Ratio and Overload Effects Based on Smooth Specimen LCF Data and the Moving Plastic Stress Field Ahead of the Crack Tip |
| title_sort |
Predictions of Crack Growth Rates, R-Ratio and Overload Effects Based on Smooth Specimen LCF Data and the Moving Plastic Stress Field Ahead of the Crack Tip |
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049a0935afb0021860a07023deb70165_***_STEPHEN WILLIAMS a146c6d442cb2c466d096179f9ac97ca_***_Mark Whittaker |
| author |
STEPHEN WILLIAMS Mark Whittaker |
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STEPHEN WILLIAMS Mark Whittaker Mark Hardy |
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Materials |
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19 |
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11 |
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2411 |
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2026 |
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Swansea University |
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1996-1944 |
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10.3390/ma19112411 |
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MDPI AG |
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Faculty of Science and Engineering |
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| description |
The use of the stress intensity factor K to characterize the severity of crack tip stress fields is widespread throughout engineering. The relationship between K and the crack growth rate is then usually represented empirically by a straight line Paris law relationship on logarithmic axes. This study develops an analytical relationship between the two by linking crack growth to the accumulation of fatigue damage ahead of the moving crack tip. A stress-based fatigue model was used, with inputs from plastic 2D plane stress FE analyses representing an edge crack by a sharp semi-circular notch. Stress–distance profiles ahead of the crack tip were extracted at the maximum and minimum points of a range of fatigue loading cycles. These were then used with data from smooth specimen LCF tests to predict the build-up of fatigue damage at regularly spaced locations ahead of the crack tip and hence crack growth rates. Full da/dN–ΔK curves were generated for the nickel-based superalloy RR1000 at 20 °C with loading R-ratios of 0, −1 and 0.5. The R = 0 and R = −1 crack growth rate predictions agreed well with experimental data, as did the steeper growth rate slope calculated at R = 0.5. The method was then extended to predict overload behaviour. |
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2026-06-05T05:31:09Z |
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11.110258 |

