Stress‐Constrained Topology Optimization of Sweep‐Frequency Harmonic Vibration Problems Using a B‐Spline‐Parameterized Topology Description Function Method

ABSTRACT This paper presents a novel B‐spline‐parameterized topology description function (TDF) method to tackle the challenging problem of stress‐constrained topology optimization under sweep‐frequency harmonic excitations. The proposed method employs B‐spline coefficients as design variables, enabling a smooth and implicit representation of evolving topologies. A two‐layer aggregation strategy with a dynamically adjusted correction coefficient is introduced to condense the spatial‐frequency peak stress into a single, smooth, and differentiable global stress constraint. A rigorous error analysis of the introduced two‐layer aggregation strategy is provided. The sensitivities of the global spatial‐frequency stress constraint and the volume objective with respect to the B‐spline coefficients are derived in detail. Furthermore, the model reduction technique based on the modified Gram‐Schmidt orthonormalization is introduced to reduce the cost of repeated harmonic‐response analyses at multiple frequencies. Finally, three numerical examples, including an L‐shaped beam, a U‐shaped beam, and a corbel structure, are investigated to validate the proposed approach. The results show that the developed method effectively controls local stress concentrations under sweep‐frequency harmonic vibrations, providing a robust tool for designing lightweight structures subjected to variable‐frequency dynamic loads.

Authors

Institutions

Publication Details

Journal
International Journal for Numerical Methods in Engineering
Published
2026-09-04
DOI
https://doi.org/10.1002/nme.70428
Primary Topic
Topology Optimization in Engineering
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Stress‐Constrained Topology Optimization of Sweep‐Frequency Harmonic Vibration Problems Using a B‐Spline‐Parameterized Topology Description Function Method

Kai Long, Xuan Wang, Yi Min Xie, Kailin Zheng
International Journal for Numerical Methods in Engineering
Topology Optimization in Engineering
article

Stress‐Constrained Topology Optimization of Sweep‐Frequency Harmonic Vibration Problems Using a B‐Spline‐Parameterized Topology Description Function Method

Kai Long, Xuan Wang, Yi Min Xie, Kailin Zheng
article en

Abstract

ABSTRACT This paper presents a novel B‐spline‐parameterized topology description function (TDF) method to tackle the challenging problem of stress‐constrained topology optimization under sweep‐frequency harmonic excitations. The proposed method employs B‐spline coefficients as design variables, enabling a smooth and implicit representation of evolving topologies. A two‐layer aggregation strategy with a dynamically adjusted correction coefficient is introduced to condense the spatial‐frequency peak stress into a single, smooth, and differentiable global stress constraint. A rigorous error analysis of the introduced two‐layer aggregation strategy is provided. The sensitivities of the global spatial‐frequency stress constraint and the volume objective with respect to the B‐spline coefficients are derived in detail. Furthermore, the model reduction technique based on the modified Gram‐Schmidt orthonormalization is introduced to reduce the cost of repeated harmonic‐response analyses at multiple frequencies. Finally, three numerical examples, including an L‐shaped beam, a U‐shaped beam, and a corbel structure, are investigated to validate the proposed approach. The results show that the developed method effectively controls local stress concentrations under sweep‐frequency harmonic vibrations, providing a robust tool for designing lightweight structures subjected to variable‐frequency dynamic loads.

International Journal for Numerical Methods in EngineeringVol. 127(17)
North China Electric Power University (CN), Hohai University (CN), Hefei University of Technology (CN), MIT University (MK), RMIT University (AU)
National Natural Science Foundation of China
Openalex Percentile: Top 16%
Topology Optimization in Engineering
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.