<div class="csl-bib-body">
<div class="csl-entry">Daleyev, D., Stauß, P., Reisinger, J., & Kovacic, I. (2025). A Novel Approach of Layout Optimization for Reusable Reinforced Concrete Walls Within a Predefined Structural Geometry. In <i>Advances in Information Technology in Civil and Building Engineering : Proceedings of ICCCBE 2024 - Volume 3: Construction Management</i>. 20th International Conference on Computing in Civil and Building Engineering (ICCCBE 2024), Montreal, Canada. https://doi.org/10.34726/8201</div>
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dc.identifier.uri
http://hdl.handle.net/20.500.12708/208480
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dc.identifier.uri
https://doi.org/10.34726/8201
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dc.description.abstract
Environmentally friendly practices in the architecture engineering and construction (AEC) industry are embraced as never before due to the crucial need for a more sustainable future. This paper presents a novel algorithmic approach by focusing on the possible cycle usage of concrete wall segments in the AEC; motivated by the idea of “Reusing instead of Recycling”. The traditional structural engineering practice rarely considers the cyclic usage of such elements; not only due to legal and logistical reasons but also due to the enormous time effort in deciding how to determine the best layout for reusable elements within a predefined structural geometry. To address this research question, a novel computational methodology is described in this paper, incorporating a developed tool, parametric modeling, and structural multi-objective optimization (MOO). The methodology interprets the planned geometry of the building as a fixed metric quantity, in which the evolutionary generative algorithm finds optimal places for the reusable wall segments (R-walls). Thus, the optimization goals are focused on 1) minimizing the cut waste of R-walls due to remaining non-fitting parts, and 2) minimizing the needed new concrete mass. Two test cases were carried out within this research: 1) a test case with very simple a multi-storey rectangular geometry and 2) a test case with a realistic geometry of a residential multi-storey building sketched within the 4D semantic mixed reality sketching tool MR-Sketch. The results indicate the efficiency of the proposed methodology and of the developed tool. Summarized, this paper presents a generative computational pipeline of the layout´s optimization for reusable reinforced concrete walls, highlighting the potential for environmental benefits. However, the integration of these practices into today's AEC sector necessitates the collaboration among structural and mechanical engineers, innovative companies for reusable bearing elements, and the necessary legal framework.
en
dc.description.sponsorship
FWF - Österr. Wissenschaftsfonds
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dc.language.iso
en
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dc.relation.ispartofseries
Lecture Notes in Civil Engineering
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dc.rights.uri
http://rightsstatements.org/vocab/InC/1.0/
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dc.subject
Sustainable Construction
en
dc.subject
Computational Methodology for Reusable Building Elements
en
dc.title
A Novel Approach of Layout Optimization for Reusable Reinforced Concrete Walls Within a Predefined Structural Geometry
en
dc.type
Inproceedings
en
dc.type
Konferenzbeitrag
de
dc.rights.license
Urheberrechtsschutz
de
dc.rights.license
In Copyright
en
dc.identifier.doi
10.34726/8201
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dc.relation.isbn
978-3-031-84224-5
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dc.relation.issn
2366-2557
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dc.relation.grantno
F 77
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dc.type.category
Full-Paper Contribution
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dc.relation.eissn
2366-2565
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tuw.booktitle
Advances in Information Technology in Civil and Building Engineering : Proceedings of ICCCBE 2024 - Volume 3: Construction Management
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tuw.container.volume
630
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tuw.peerreviewed
true
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tuw.project.title
Advanced Computational Design
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tuw.researchTopic.id
E5
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tuw.researchTopic.id
C3
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tuw.researchTopic.name
Efficient Utilisation of Material Resources
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tuw.researchTopic.name
Computational System Design
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tuw.researchTopic.value
30
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tuw.researchTopic.value
70
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tuw.publication.orgunit
E210-01 - Forschungsbereich Integrale Planung und Industriebau
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dc.description.numberOfPages
10
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tuw.author.orcid
0000-0003-3359-8435
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tuw.author.orcid
0009-0004-0573-5441
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tuw.author.orcid
0000-0002-2316-306X
-
tuw.author.orcid
0000-0002-0303-3284
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dc.rights.identifier
Urheberrechtsschutz
de
dc.rights.identifier
In Copyright
en
tuw.event.name
20th International Conference on Computing in Civil and Building Engineering (ICCCBE 2024)
en
tuw.event.startdate
25-08-2024
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tuw.event.enddate
28-08-2024
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tuw.event.online
On Site
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tuw.event.type
Event for scientific audience
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tuw.event.place
Montreal
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tuw.event.country
CA
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tuw.event.presenter
Daleyev, Dalel
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tuw.event.track
Multi Track
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wb.sciencebranch
Bauingenieurwesen
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wb.sciencebranch.oefos
2011
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wb.sciencebranch.value
100
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item.languageiso639-1
en
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item.openairetype
conference paper
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item.grantfulltext
embargo_20260401
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item.fulltext
with Fulltext
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item.cerifentitytype
Publications
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item.mimetype
application/pdf
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item.openairecristype
http://purl.org/coar/resource_type/c_5794
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item.openaccessfulltext
Open Access
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crisitem.author.dept
E210-01 - Forschungsbereich Integrale Planung und Industriebau
-
crisitem.author.dept
E210-01 - Forschungsbereich Integrale Planung und Industriebau
-
crisitem.author.dept
E210-01 - Forschungsbereich Integrale Planung und Industriebau