PARAMETRIC MODEL ORDER REDUCTION FOR PARAMETER IDENTIFICATION OF ADAPTIVE HIGH-RISE STRUCTURES Article Swipe
Manuel Vierneisel
,
Amelie Zeller
,
Spasena Dakova
,
Michael C. Böhm
,
Oliver Sawodny
,
Peter Eberhard
·
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.7712/150123.9820.443871
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.7712/150123.9820.443871
The building sector is one of the largest contributors to global carbon dioxide emissions and resource consumption.One promising way to save resources is to build adaptive buildings, that are equipped with sensors, actuators, and a control-unit to counteract deformations and vibrations caused by external loads.The first adaptive high-rise building was built on the campus of the University of Stuttgart within the framework of the Collaborative Research Center 1244.This contribution proposes a parametric reduced order model suitable for an efficient parameter identification.In a first step a sensitivity analysis is conducted to identify the most influential parameters on the system behavior.Different parametric model order reduction techniques are then investigated such that the size of the reduced system matrices is as small as possible on the one hand and the approximation error between the reduced order model and the full order model in the parameter, time, and frequency domain is minimized on the other hand.Compared to classical model updating routines, this parameterized reduced order model requires much lower online computational effort since it is not necessary to calculate the system matrices and perform a model order reduction in each iteration step of the parameter identification.
Related Topics
Concepts
Reduction (mathematics)
Parametric statistics
Model order reduction
Identification (biology)
Computer science
Parametric model
Control theory (sociology)
Applied mathematics
Mathematics
Algorithm
Statistics
Artificial intelligence
Geometry
Biology
Botany
Control (management)
Projection (relational algebra)
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.7712/150123.9820.443871
- https://files.eccomasproceedia.org/papers/smart-2023/SM23_443871.pdf?mtime=20230927095847
- OA Status
- gold
- References
- 10
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4387047834
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4387047834Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.7712/150123.9820.443871Digital Object Identifier
- Title
-
PARAMETRIC MODEL ORDER REDUCTION FOR PARAMETER IDENTIFICATION OF ADAPTIVE HIGH-RISE STRUCTURESWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2023Year of publication
- Publication date
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2023-01-01Full publication date if available
- Authors
-
Manuel Vierneisel, Amelie Zeller, Spasena Dakova, Michael C. Böhm, Oliver Sawodny, Peter EberhardList of authors in order
- Landing page
-
https://doi.org/10.7712/150123.9820.443871Publisher landing page
- PDF URL
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https://files.eccomasproceedia.org/papers/smart-2023/SM23_443871.pdf?mtime=20230927095847Direct link to full text PDF
- Open access
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YesWhether a free full text is available
- OA status
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goldOpen access status per OpenAlex
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https://files.eccomasproceedia.org/papers/smart-2023/SM23_443871.pdf?mtime=20230927095847Direct OA link when available
- Concepts
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Reduction (mathematics), Parametric statistics, Model order reduction, Identification (biology), Computer science, Parametric model, Control theory (sociology), Applied mathematics, Mathematics, Algorithm, Statistics, Artificial intelligence, Geometry, Biology, Botany, Control (management), Projection (relational algebra)Top concepts (fields/topics) attached by OpenAlex
- Cited by
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0Total citation count in OpenAlex
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- Related works (count)
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10Other works algorithmically related by OpenAlex
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