Structural topology optimization based on an immersed FEM Level-Set method

Abstract In the present paper, we propose a parametrized Level-Set (LS) approach based on a new Immersed Finite Element (FE)-LS strategy for Topology Optimization (ILSTO). Arbitrary design domains with generic boundaries are efficiently described by the proposed approach. Within this method, a generic FE discretization is mapped on a regular LS grid of knots, avoiding the TO problem from the necessity of postprocessing and filtering the obtained topology. In addition, using an approximating function for expressing the spatial derivatives and relying on a simple definition of reinitialization, the solution does not suffer from numerical instabilities, commonly associated with the calculation of the LS surface gradients. The proposed ILSTO method is benchmarked against conventional methods to demonstrate its improved geometrical resolution and numerical robustness, while maintaining computational efficiency.

Authors

Institutions

Publication Details

Journal
Structural and Multidisciplinary Optimization
Published
2025-08-01
DOI
https://doi.org/10.1007/s00158-025-04083-y
Citations
1
Primary Topic
Topology Optimization in Engineering
Type
article
Field-Weighted Citation Impact
0.95

Funders

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

Structural topology optimization based on an immersed FEM Level-Set method

Farzad Tatar, Roberto Brighenti
1 citations
Structural and Multidisciplinary Optimization
Topology Optimization in Engineering
0.95
article

Structural topology optimization based on an immersed FEM Level-Set method

Farzad Tatar, Roberto Brighenti
article en
1 citations

Abstract

Abstract In the present paper, we propose a parametrized Level-Set (LS) approach based on a new Immersed Finite Element (FE)-LS strategy for Topology Optimization (ILSTO). Arbitrary design domains with generic boundaries are efficiently described by the proposed approach. Within this method, a generic FE discretization is mapped on a regular LS grid of knots, avoiding the TO problem from the necessity of postprocessing and filtering the obtained topology. In addition, using an approximating function for expressing the spatial derivatives and relying on a simple definition of reinitialization, the solution does not suffer from numerical instabilities, commonly associated with the calculation of the LS surface gradients. The proposed ILSTO method is benchmarked against conventional methods to demonstrate its improved geometrical resolution and numerical robustness, while maintaining computational efficiency.

Structural and Multidisciplinary OptimizationVol. 68(8)
University of Parma (IT), University of Florence (IT)
European Commission, Erwin Schrödinger International Institute for Mathematics and Physics, Università degli Studi di Firenze, Horizon 2020 Framework Programme, H2020 Spreading Excellence and Widening Participation
Openalex Percentile: Top 23%
Topology Optimization in Engineering
0.95
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.

Structural topology optimization based on an immersed FEM Level-Set method — Farzad Tatar, Roberto Brighenti · Structural and Multidisciplinary Optimization (2025) | TGRS Research Map | TGRS