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Article

Fatigue Life Prediction and Experimental Study of Landing Gear Components via FKM Local Stress Approach

by
Haihong Tang
1,
Huijie Zhou
2,
Panglun Liu
1,3,
Jianbin Ding
1,
Yiyao Jiang
1,3 and
Bingyan Jiang
1,*
1
State Key Laboratory of Precision Manufacturing for Extreme Service Performance, Central South University, Changsha 410083, China
2
Dundee International Institute, Central South University, Changsha 410083, China
3
AVIC Landing-Gear Advanced Manufacturing Corp, Changsha 410200, China
*
Author to whom correspondence should be addressed.
Aerospace 2025, 12(11), 1026; https://doi.org/10.3390/aerospace12111026
Submission received: 22 October 2025 / Revised: 15 November 2025 / Accepted: 18 November 2025 / Published: 19 November 2025
(This article belongs to the Section Aeronautics)

Abstract

This study focuses on high-cycle fatigue (HCF) of aircraft landing gear (LG) components, covering material testing, full-scale component experiments, finite element (FE) modeling, life-prediction comparison, and probabilistic assessment. Fully reversed axial fatigue tests on forty 300M steel specimens were conducted to establish a reliable S-N curve. Full-scale fatigue experiment conducted on the upper torque link components showed that the one cracking at approximately 184,000 cycles (at the filet), while another remained undamaged after 166,000 cycles, providing a benchmark for model validation. FE simulations using ANSYS accurately captured the stress field within the component, with a maximum error of less than 10% compared to experimental strain measurements. Based on the FKM guideline, this work developed an improved FKM local-stress approach (LSA) for HCF life prediction, which integrates load-dependent stress gradients, FKM mean stress correction, and interpolated surface-condition factors for S-N curve adjustment specific to the component’s surface treatment. It predicts the fatigue life as 174,000 cycles (−5.4% error relative to test), outperforming standard FKM-LSA calculations and nCode software simulations. Furthermore, by augmenting the experimental data and constructing p-S-N curves, the improved LSA was extended to predict fatigue life under different survival probabilities and confidence levels, providing a practical tool for reliability-based design.
Keywords: high-cycle fatigue; fatigue test; life prediction; 300M steel; landing gear high-cycle fatigue; fatigue test; life prediction; 300M steel; landing gear

Share and Cite

MDPI and ACS Style

Tang, H.; Zhou, H.; Liu, P.; Ding, J.; Jiang, Y.; Jiang, B. Fatigue Life Prediction and Experimental Study of Landing Gear Components via FKM Local Stress Approach. Aerospace 2025, 12, 1026. https://doi.org/10.3390/aerospace12111026

AMA Style

Tang H, Zhou H, Liu P, Ding J, Jiang Y, Jiang B. Fatigue Life Prediction and Experimental Study of Landing Gear Components via FKM Local Stress Approach. Aerospace. 2025; 12(11):1026. https://doi.org/10.3390/aerospace12111026

Chicago/Turabian Style

Tang, Haihong, Huijie Zhou, Panglun Liu, Jianbin Ding, Yiyao Jiang, and Bingyan Jiang. 2025. "Fatigue Life Prediction and Experimental Study of Landing Gear Components via FKM Local Stress Approach" Aerospace 12, no. 11: 1026. https://doi.org/10.3390/aerospace12111026

APA Style

Tang, H., Zhou, H., Liu, P., Ding, J., Jiang, Y., & Jiang, B. (2025). Fatigue Life Prediction and Experimental Study of Landing Gear Components via FKM Local Stress Approach. Aerospace, 12(11), 1026. https://doi.org/10.3390/aerospace12111026

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