Damage approach: A new method for topology optimization with local stress constraints

By Alexander Verbart, Matthijs Langelaar, Fred van Keulen. Structural And Multidisciplinary Optimization, 2015

75 citations recorded by the source corpus.

In this paper, we propose a new method for topology optimization with local stress constraints. In this method, material in which a stress constraint is violated is considered as damaged. Since damaged material will contribute less to the overall performance of the structure, the optimizer will promote a design with a minimal amount of damaged material. We tested the method on several benchmark problems, and the results show that the method is a viable alternative for conventional stress-based approaches based on constraint relaxation followed by constraint aggregation.

Subfields: Artificial Intelligence, Civil and Structural Engineering, Computational Theory and Mathematics

View Paper: https://www.semanticscholar.org/paper/4bc3c831aeafe2b20ad9661771f9a62a19a26dd7

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Kurt Maute

In Civil and Structural Engineering

1. Ashesh Sharma
2. Kurt Maute
3. Ramana V. Grandhi
4. Joshua D. Deaton
5. Ole Sigmund
6. Joaquim R. Martins
7. Matthew Lawry

In Computational Theory and Mathematics

1. Ashesh Sharma
2. Kurt Maute
3. Ole Sigmund
4. Ramana V. Grandhi
5. Joshua D. Deaton

Citations in the corpus

• Stress-based topology optimization using spatial gradient stabilized XFEM (2017, background): “Alternatively, structures can be designed based on damage (cf. James and Waisman 2014; Verbart et al. 2016), fatigue (Holmberg et al. 2014), or elastoplasticity (Amir 2017) to prolong the structural life.”