<div class="csl-bib-body">
<div class="csl-entry">Daleyev, D., Reisinger, J., Königsberger, M., & Kovacic, I. (2022). POTENTIAL OF PARAMETRIC MODELING FOR STRUCTURAL OPTIMIZATION. In <i>Creative Construction Conference 2022</i>. Creative Construction Conference 2022, Croatia. https://doi.org/10.3311/CCC2022-042</div>
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dc.identifier.uri
http://hdl.handle.net/20.500.12708/139562
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dc.description.abstract
Global warming and global scarcity of resources drive the need for optimization of industrial buildings.
The construction industry is one of the most resource-intensive economic sectors and at the same time
belongs to most of the man-made raw material storage. To contribute to a resource-efficient future in
the construction sector, a multi-objective optimization (MOO) of the supporting structures can be created
within the framework of the planning phase in which numerous case-studies are carried out. Due to the
uniqueness of each construction project and the complex technical model data input, very few case-
studies can be carried out in the phase of conservative planning. On this occasion, a generative tool for
the parametric optimization of industrial timber-specific supporting structures has been created within
the scope of this paper. A novel optimization approach used in this work represents the concept of MOO
based on the parametric structural modelling. Due to the above-mentioned aspects, the developed tool
has been named "MOPTS" (Multi-objective optimization of timber structures). As part of the research
presented in this paper, a test case was carried out on an already built-up object. It was demonstrated
that by MOPTS tool assisted structural planning almost 5 tons of timber material were saved also by
using fewer bearing elements.
en
dc.description.sponsorship
Fonds zur Förderung der wissenschaftlichen Forschung (FWF)
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dc.language.iso
en
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dc.subject
industrial buildings
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dc.subject
parametric modeling
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dc.subject
structural optimization
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dc.subject
timber structure systems
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dc.title
POTENTIAL OF PARAMETRIC MODELING FOR STRUCTURAL OPTIMIZATION
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dc.title.alternative
A VARIANT STUDY OF INDUSTRIAL BUILDINGS WITH DIFFERENT TIMBER STRUCTURE SYSTEMS