Topology Optimization
By Martin P. Bendsøe. Encyclopedia of Optimization, 2009
1,153 citations recorded by the source corpus.
Subfields: Civil and Structural Engineering, Computational Theory and Mathematics, Mechanics of Materials
View Paper: https://www.semanticscholar.org/paper/b2aa81dfc0a3ff660f4e0a5a9262e227fbdd5509
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
- Ole Sigmund
- Zhan Kang
- Krishnan Suresh
- Michael Y. Wang
- Boyan S. Lazarov
- Akihiro Takezawa
- Ramana V. Grandhi
- Joshua D. Deaton
In Computational Theory and Mathematics
- Ole Sigmund
- Zhan Kang
- Michael Y. Wang
- Boyan S. Lazarov
- Krishnan Suresh
- Jikai Liu
- Ramana V. Grandhi
- Joshua D. Deaton
In Mechanics of Materials
- Zhan Kang
- Ole Sigmund
- Michael Y. Wang
- Krishnan Suresh
- Boyan S. Lazarov
- Jikai Liu
- Peng Wei
- Yiqiang Wang
Citations in the corpus
- Design and evaluation of an additively manufactured aircraft heat exchanger (2018, methodology): “[14] used topology optimization to design a pin fin heat sink for impingement cooling, and found slightly better overall performance (accounting for heat transfer and pressure drop) for the optimized geometry relative to conventional designs.”
- Topology optimization of a pseudo 3D thermofluid heat sink model (2018, methodology): “Dede and coworkers [16] use additive layer manufacturing to fabricate and subsequently experimentally evaluate an optimized heat sink design.”
- MULTI-PHASE STRUCTURAL OPTIMIZATION VIA A LEVEL SET METHOD ∗, ∗∗ (2014, methodology): “In the framework of the SIMP (Solid Isotropic Material with Penalization) method, several interpolation schemes have been proposed for the mathematical formulation of the Hooke’s tensor of the mixture [9], [49], [57].”
- Current and future trends in topology optimization for additive manufacturing (2018, methodology): “To address these issues, significant research has been carried out on manufacturability-oriented topology optimization, under both the density-based (Bendsøe and Sigmund 2004) and level set (Wang et al. 2003; Allaire et al. 2004) frameworks.”
- Shape optimization with a level set based mesh evolution method (2014, neutral): “Roughly speaking, in the field of shape and topology optimization, three main classes of techniques can be distinguished, depending on the description of shapes they involve: • Density-based methods, such as the SIMP method [17] or the homogenization method [3, 16], transform the problem of finding ”
- Free material optimization: recent progress (2008, background): “The idea to treat the material itself as a function of the space variable goes back to the works [4,15] and has also been studied in various other contexts [3].”
- A new multi-material level set topology optimization method with the length scale control capability (2018, neutral): “…topology optimization has been implemented under the main topology optimization frameworks, including SIMP (Solid Isotropic Material with Penalization) [1], ESO (Evolutionary Structural Optimization) [2], and level set [3,4], and a brief literature survey is presented in the rest of this section.”
- An 88-line MATLAB code for the parameterized level set method based topology optimization using radial basis functions (2018, methodology): “And there is no intermediate density material, which is different from the variable density method (Bendsøe and Sigmund 2003).”
- Isogeometric Shape Optimization of Vibrating Membranes (2011, methodology): “…the shape indirectly, using for example the coefficients of the partial differential equation governing an engineering model under consideration (control in the coefficients, homogenization, or topology optimization approaches, see [3, 4]) or auxiliary surfaces such as in level-set methods, see [5].”