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  5. Isogeometric sizing and shape optimization of 3D beams and lattice structures at large deformations
 
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2022
Zweitveröffentlichung
Artikel
Verlagsversion

Isogeometric sizing and shape optimization of 3D beams and lattice structures at large deformations

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Hauptpublikation
Weeger - 2022 - Isogeometric sizing and shape optimization of 3D b.pdf
CC BY 4.0 International
Format: Adobe PDF
Size: 4.33 MB
TUDa URI
tuda/7948
URN
urn:nbn:de:tuda-tuprints-203451
DOI
10.26083/tuprints-00020345
Autor:innen
Weeger, Oliver ORCID 0000-0002-1771-8129
Kurzbeschreibung (Abstract)

A computational method for optimizing the shape of the centerline curve and the spatial variation of geometric and material sizing parameters of the cross-sections of elastic, 3-dimensional beams and beam structures subject to large deformations is presented in this work. The approach is based on the concept of isogeometric analysis, i.e., the representation of geometry and the discretization of the numerical solution using spline functions. Here, mixed isogeometric collocation methods are used to discretize the geometrically exact 3D beam model. These spline representations are extended to the parameterization of the design variables, which are the initial centerline curves of the beams, as well as cross-sectional sizing properties, which may be varying along the beam axis and can be functionally graded through the cross-sections. To tailor the mechanical deformation behavior of a beam or beam structure, a nonlinear optimization problem is formulated and solved using gradient-based methods. For this purpose, all required gradients and sensitivities are derived analytically. The potential of this holistic design optimization approach is demonstrated in application to tailoring of elastic metamaterials and beam lattice structures, as well as 4D printing of multi-material laminate beams.

Freie Schlagworte

Isogeometric analysis...

Geometrically exact b...

Nonlinear design opti...

Shape optimization

Beam lattice structur...

Sprache
Englisch
Fachbereich/-gebiet
16 Fachbereich Maschinenbau > Fachgebiet Cyber-Physische Simulation (CPS)
DDC
500 Naturwissenschaften und Mathematik > 510 Mathematik
600 Technik, Medizin, angewandte Wissenschaften > 620 Ingenieurwissenschaften und Maschinenbau
Institution
Universitäts- und Landesbibliothek Darmstadt
Ort
Darmstadt
Titel der Zeitschrift / Schriftenreihe
Structural and Multidisciplinary Optimization
Jahrgang der Zeitschrift
65
Heftnummer der Zeitschrift
2
ISSN
1615-1488
Verlag
Springer Nature
Datum der Erstveröffentlichung
2022
Verlags-DOI
10.1007/s00158-021-03131-7
PPN
505414619

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