Semi-Lagrange method for level-set-based structural topology and shape optimization
By Qi Xia, Michael Y. Wang, Shengyin Wang, Shikui Chen. 2006
55 citations recorded by the source corpus.
Subfields: Civil and Structural Engineering, Computational Mechanics
View Paper: https://www.semanticscholar.org/paper/d59ec792445ef189030966b50223ec857b29aa31
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Civil and Structural Engineering
- H. A. Kim
- Peter D. Dunning
- V. Challis
- Ole Sigmund
- James K. Guest
- Qi Xia
- Ramana V. Grandhi
- Joshua D. Deaton
In Computational Mechanics
- H. A. Kim
- Peter D. Dunning
- Qi Xia
- V. Challis
- James K. Guest
- Michael Y. Wang
- Ramana V. Grandhi
- Joshua D. Deaton
Citations in the corpus
- Topology optimization of thermoelastic structures using level set method (2008, methodology): “For spatial discretization, there exist upwind differencing, essentially non-oscillatory scheme (ENO) [34,35], and weighted essentially non-oscillatory scheme(WENO)[22].Fortimediscretization,thereexistforward Euler differencing, total variation diminishing Runge– Kutta scheme (TVD-RK) [46], and semi”
- Introducing the sequential linear programming level-set method for topology optimization (2015, methodology): “2008) or a semi-Lagrange approach (Xia et al. 2006).”
- Level set topology optimization of fluids in Stokes flow (2009, background): “Research has also been focussed on parameterization schemes for the level set function [32–36], different velocity extensions [37, 38], alternative approaches for solving the evolution equation [39, 40], and ways to improve the accuracy of the level set representation and finite element solution nea”