Discrete material optimization with sandwich failure constraints
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26210%2F21%3APU141384" target="_blank" >RIV/00216305:26210/21:PU141384 - isvavai.cz</a>
Result on the web
<a href="https://link.springer.com/content/pdf/10.1007/s00158-021-03006-x.pdf" target="_blank" >https://link.springer.com/content/pdf/10.1007/s00158-021-03006-x.pdf</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/s00158-021-03006-x" target="_blank" >10.1007/s00158-021-03006-x</a>
Alternative languages
Result language
angličtina
Original language name
Discrete material optimization with sandwich failure constraints
Original language description
Discrete material optimization (DMO) is a method, which was originally developed for designing composite structures via multi-material topology optimization principles. Current study applies DMO to sandwich structures with variable thickness in the core and face sheets. Each layer contains design variables for available materials. Materials are combined through interpolation schemes to define properties of the layer. The objective function (mass of the structure) and the failure constraints are interpolated via Rational Approximation of Material Properties (RAMP) in order to calculate with smooth variables, but achieve discrete results. This enables gradient optimization via Interior Point Optimizer (IPOPT) with constraints on maximum stress, wrinkling, and crimping. Structure is modeled by the finite element method, which calculates element forces and moments repeatedly as the stiffness of the structure changes during optimization. Element loads are used by the first-order shear deformation theory to evaluate the stresses in the layers to obtain failure constraints requested in each iteration by the gradient optimizer. Solution is demonstrated on the plate examples showing material distribution and discreteness level. In addition, constraint aggregation by Kreisselmeier-Steinhauser (KS) function was utilized to decrease the number of constraints in the optimization.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2021
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION
ISSN
1615-147X
e-ISSN
1615-1488
Volume of the periodical
64
Issue of the periodical within the volume
4
Country of publishing house
DE - GERMANY
Number of pages
11
Pages from-to
2513-2523
UT code for WoS article
000673035000001
EID of the result in the Scopus database
2-s2.0-85110450020