Structural Topology Optimization With the Simultaneous Constraints to Maximum Contact Pressure and Fatigue Damage

ABSTRACT In this work, we develop a topology optimization method for elastic contact problems involving fatigue constraints under proportional loads. The method is formulated by means of B‐spline parameterization of the pseudo‐density field to describe the material layout. Both the contact pressure control on the contact surface and fatigue constraint to the whole structure domain are taken into account simultaneously. The accumulated fatigue damage related to the fatigue constraint is calculated based upon the rainflow‐counting scheme, Sines method, S – N curve and Palmgren–Miner's linear damage hypothesis. The Kreisselmeier–Steinhauser (KS) function is adopted as an aggregated measure for both the maximum contact pressure and the maximum fatigue damage. The design sensitivities are derived analytically using the adjoint method. Both frictionless and frictional contact problems are investigated. The influence of fatigue constraints on the optimization result is discussed in comparison with the standard compliance minimization. Frictional contact effects upon the optimized results and fatigue damage are highlighted. Results show that the maximum contact pressure and maximum fatigue damage can effectively be controlled to avoid fatigue failure and that the fatigue strength of the structure can be improved at the cost of structural stiffness.

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Publication Details

Journal
International Journal for Numerical Methods in Engineering
Published
2025-06-21
DOI
https://doi.org/10.1002/nme.70071
Primary Topic
Topology Optimization in Engineering
Type
article
Field-Weighted Citation Impact
0.00

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article

Structural Topology Optimization With the Simultaneous Constraints to Maximum Contact Pressure and Fatigue Damage

Ziad Moumni, Weihong Zhang, Tong Gao, Jiajia Li
International Journal for Numerical Methods in Engineering
Topology Optimization in Engineering
article

Structural Topology Optimization With the Simultaneous Constraints to Maximum Contact Pressure and Fatigue Damage

Ziad Moumni, Weihong Zhang, Tong Gao, Jiajia Li
article en

Abstract

ABSTRACT In this work, we develop a topology optimization method for elastic contact problems involving fatigue constraints under proportional loads. The method is formulated by means of B‐spline parameterization of the pseudo‐density field to describe the material layout. Both the contact pressure control on the contact surface and fatigue constraint to the whole structure domain are taken into account simultaneously. The accumulated fatigue damage related to the fatigue constraint is calculated based upon the rainflow‐counting scheme, Sines method, S – N curve and Palmgren–Miner's linear damage hypothesis. The Kreisselmeier–Steinhauser (KS) function is adopted as an aggregated measure for both the maximum contact pressure and the maximum fatigue damage. The design sensitivities are derived analytically using the adjoint method. Both frictionless and frictional contact problems are investigated. The influence of fatigue constraints on the optimization result is discussed in comparison with the standard compliance minimization. Frictional contact effects upon the optimized results and fatigue damage are highlighted. Results show that the maximum contact pressure and maximum fatigue damage can effectively be controlled to avoid fatigue failure and that the fatigue strength of the structure can be improved at the cost of structural stiffness.

International Journal for Numerical Methods in EngineeringVol. 126(12)
Northwestern Polytechnical University (CN), École Nationale Supérieure de Techniques Avancées (FR), Xi'an Institute of Optics and Precision Mechanics (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 85%
Topology Optimization in Engineering
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Structural Topology Optimization With the Simultaneous Constraints to Maximum Contact Pressure and Fatigue Damage — Ziad Moumni, Weihong Zhang, et al. · International Journal for Numerical Methods in Engineering (2025) | TGRS Research Map | TGRS