A level-set-based topology optimization strategy using radial basis functions and a Hilbertian velocity extension
• Consistent augmented Lagrangian scheme to handle the volume constraint of the compliance optimization problem. • Hilbertian extension of the velocity field adopted within a radial basis parameterized level-set method. • The mesh defined by the centers of the radial basis functions may be decoupled...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Andrade, Giovanna C. [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2022 |
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| Umfang: |
18 |
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| Übergeordnetes Werk: |
Enthalten in: Early Cretaceous mafic dykes from the Chhota Nagpur Gneissic Terrane, eastern India: Evidence of multiple magma pulses for the main stage of the Greater Kerguelen mantle plume - Srivastava, Rajesh K. ELSEVIER, 2022, simulation and computation for engineering and environmental systems, Amsterdam [u.a.] |
|---|---|
| Übergeordnetes Werk: |
volume:111 ; year:2022 ; pages:108-125 ; extent:18 |
| Links: |
|---|
| DOI / URN: |
10.1016/j.apm.2022.06.026 |
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ELV058666842 |
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| 520 | |a • Consistent augmented Lagrangian scheme to handle the volume constraint of the compliance optimization problem. • Hilbertian extension of the velocity field adopted within a radial basis parameterized level-set method. • The mesh defined by the centers of the radial basis functions may be decoupled from the finite element mesh. • Numerical implementation developed in Python, using resources from the FEniCS project. | ||
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Enthalten in Early Cretaceous mafic dykes from the Chhota Nagpur Gneissic Terrane, eastern India: Evidence of multiple magma pulses for the main stage of the Greater Kerguelen mantle plume Amsterdam [u.a.] volume:111 year:2022 pages:108-125 extent:18 |
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A level-set-based topology optimization strategy using radial basis functions and a Hilbertian velocity extension |
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• Consistent augmented Lagrangian scheme to handle the volume constraint of the compliance optimization problem. • Hilbertian extension of the velocity field adopted within a radial basis parameterized level-set method. • The mesh defined by the centers of the radial basis functions may be decoupled from the finite element mesh. • Numerical implementation developed in Python, using resources from the FEniCS project. |
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• Consistent augmented Lagrangian scheme to handle the volume constraint of the compliance optimization problem. • Hilbertian extension of the velocity field adopted within a radial basis parameterized level-set method. • The mesh defined by the centers of the radial basis functions may be decoupled from the finite element mesh. • Numerical implementation developed in Python, using resources from the FEniCS project. |
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• Consistent augmented Lagrangian scheme to handle the volume constraint of the compliance optimization problem. • Hilbertian extension of the velocity field adopted within a radial basis parameterized level-set method. • The mesh defined by the centers of the radial basis functions may be decoupled from the finite element mesh. • Numerical implementation developed in Python, using resources from the FEniCS project. |
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