Increasing boundary resolution in topology optimization using a novel formulation of partial elements

Abstract Topology optimization has been widely used in various engineering disciplines. Some topology optimization methods use partial elements to generate high-resolution structures while maintaining design freedom. Partial elements are elements with both solid and void phases that appear around the boundaries of designs. Due to their mixed nature, accurately estimating responses in partial elements is challenging. Existing methods to calculate responses and sensitivities in partial elements are either simple but inaccurate or prohibitively complicated. This paper uses a novel finite-element formulation for estimating properties of arbitrarily shaped partial elements, maintaining a balance between simplicity and accuracy. In this approach, partial elements are modeled as macro-elements containing micro-elements. This enables efficient calculation of stiffness matrices and sensitivity analysis of partial elements. This method can be readily integrated into existing topology optimization processes, allowing up-sampling of results obtained based on coarse mesh to finer mesh solutions with enhanced boundary resolutions. The effectiveness of this proposed approach has been validated through example problems, including compliance minimization, compliant mechanism design, and natural frequency maximization.

Authors

Institutions

Publication Details

Journal
Structural and Multidisciplinary Optimization
Published
2025-04-01
DOI
https://doi.org/10.1007/s00158-025-04009-8
Citations
3
Primary Topic
Topology Optimization in Engineering
Type
article
Field-Weighted Citation Impact
2.86

Funders

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

Increasing boundary resolution in topology optimization using a novel formulation of partial elements

Louis N.S. Chiu, Kazem Ghabraie, Yanan Wang, Jiye Zhou
3 citations
Structural and Multidisciplinary Optimization
Topology Optimization in Engineering
2.86
article

Increasing boundary resolution in topology optimization using a novel formulation of partial elements

Louis N.S. Chiu, Kazem Ghabraie, Yanan Wang, Jiye Zhou
article en
3 citations

Abstract

Abstract Topology optimization has been widely used in various engineering disciplines. Some topology optimization methods use partial elements to generate high-resolution structures while maintaining design freedom. Partial elements are elements with both solid and void phases that appear around the boundaries of designs. Due to their mixed nature, accurately estimating responses in partial elements is challenging. Existing methods to calculate responses and sensitivities in partial elements are either simple but inaccurate or prohibitively complicated. This paper uses a novel finite-element formulation for estimating properties of arbitrarily shaped partial elements, maintaining a balance between simplicity and accuracy. In this approach, partial elements are modeled as macro-elements containing micro-elements. This enables efficient calculation of stiffness matrices and sensitivity analysis of partial elements. This method can be readily integrated into existing topology optimization processes, allowing up-sampling of results obtained based on coarse mesh to finer mesh solutions with enhanced boundary resolutions. The effectiveness of this proposed approach has been validated through example problems, including compliance minimization, compliant mechanism design, and natural frequency maximization.

Structural and Multidisciplinary OptimizationVol. 68(4)
Deakin University (AU), Monash University (AU)
Deakin University
Openalex Percentile: Top 11%
Topology Optimization in Engineering
2.86
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.

Increasing boundary resolution in topology optimization using a novel formulation of partial elements — Louis N.S. Chiu, Kazem Ghabraie, et al. · Structural and Multidisciplinary Optimization (2025) | TGRS Research Map | TGRS