Multiscale modeling of linear elastic heterogeneous structures via localized model order reduction Article Swipe
YOU?
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· 2022
· Open Access
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· DOI: https://doi.org/10.48550/arxiv.2201.10374
In this paper, a methodology for fine scale modeling of large scale structures is proposed, which combines the variational multiscale method, domain decomposition and model order reduction. The influence of the fine scale on the coarse scale is modelled by the use of an additive split of the displacement field, addressing applications without a clear scale separation. Local reduced spaces are constructed by solving an oversampling problem with random boundary conditions. Herein, we inform the boundary conditions by a global reduced problem and compare our approach using physically meaningful correlated samples with existing approaches using uncorrelated samples. The local spaces are designed such that the local contribution of each subdomain can be coupled in a conforming way, which also preserves the sparsity pattern of standard finite element assembly procedures. Several numerical experiments show the accuracy and efficiency of the method, as well as its potential to reduce the size of the local spaces and the number of training samples compared to the uncorrelated sampling.
Related Topics
- Type
- preprint
- Language
- en
- Landing Page
- http://arxiv.org/abs/2201.10374
- https://arxiv.org/pdf/2201.10374
- OA Status
- green
- Cited By
- 1
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4221155575
Raw OpenAlex JSON
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https://openalex.org/W4221155575Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.48550/arxiv.2201.10374Digital Object Identifier
- Title
-
Multiscale modeling of linear elastic heterogeneous structures via localized model order reductionWork title
- Type
-
preprintOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2022Year of publication
- Publication date
-
2022-01-25Full publication date if available
- Authors
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Philipp Diercks, Karen Veroy, Annika Robens‐Radermacher, Jörg F. UngerList of authors in order
- Landing page
-
https://arxiv.org/abs/2201.10374Publisher landing page
- PDF URL
-
https://arxiv.org/pdf/2201.10374Direct link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
greenOpen access status per OpenAlex
- OA URL
-
https://arxiv.org/pdf/2201.10374Direct OA link when available
- Concepts
-
Oversampling, Reduction (mathematics), Uncorrelated, Scale (ratio), Finite element method, Boundary (topology), Algorithm, Mathematics, Mathematical optimization, Computer science, Sampling (signal processing), Boundary value problem, Domain decomposition methods, Domain (mathematical analysis), Applied mathematics, Mathematical analysis, Geometry, Statistics, Physics, Quantum mechanics, Computer vision, Bandwidth (computing), Computer network, Thermodynamics, Filter (signal processing)Top concepts (fields/topics) attached by OpenAlex
- Cited by
-
1Total citation count in OpenAlex
- Citations by year (recent)
-
2023: 1Per-year citation counts (last 5 years)
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.Local | 57 |
| abstract_inverted_index.clear | 54 |
| abstract_inverted_index.large | 10 |
| abstract_inverted_index.local | 98, 105, 151 |
| abstract_inverted_index.model | 24 |
| abstract_inverted_index.order | 25 |
| abstract_inverted_index.scale | 7, 11, 32, 36, 55 |
| abstract_inverted_index.split | 45 |
| abstract_inverted_index.using | 86, 94 |
| abstract_inverted_index.which | 15, 117 |
| abstract_inverted_index.coarse | 35 |
| abstract_inverted_index.domain | 21 |
| abstract_inverted_index.field, | 49 |
| abstract_inverted_index.finite | 125 |
| abstract_inverted_index.global | 79 |
| abstract_inverted_index.inform | 73 |
| abstract_inverted_index.number | 155 |
| abstract_inverted_index.paper, | 2 |
| abstract_inverted_index.random | 68 |
| abstract_inverted_index.reduce | 146 |
| abstract_inverted_index.spaces | 59, 99, 152 |
| abstract_inverted_index.Herein, | 71 |
| abstract_inverted_index.Several | 129 |
| abstract_inverted_index.compare | 83 |
| abstract_inverted_index.coupled | 112 |
| abstract_inverted_index.element | 126 |
| abstract_inverted_index.method, | 20, 139 |
| abstract_inverted_index.pattern | 122 |
| abstract_inverted_index.problem | 66, 81 |
| abstract_inverted_index.reduced | 58, 80 |
| abstract_inverted_index.samples | 90, 158 |
| abstract_inverted_index.solving | 63 |
| abstract_inverted_index.without | 52 |
| abstract_inverted_index.accuracy | 134 |
| abstract_inverted_index.additive | 44 |
| abstract_inverted_index.approach | 85 |
| abstract_inverted_index.assembly | 127 |
| abstract_inverted_index.boundary | 69, 75 |
| abstract_inverted_index.combines | 16 |
| abstract_inverted_index.compared | 159 |
| abstract_inverted_index.designed | 101 |
| abstract_inverted_index.existing | 92 |
| abstract_inverted_index.modeling | 8 |
| abstract_inverted_index.modelled | 38 |
| abstract_inverted_index.samples. | 96 |
| abstract_inverted_index.sparsity | 121 |
| abstract_inverted_index.standard | 124 |
| abstract_inverted_index.training | 157 |
| abstract_inverted_index.influence | 28 |
| abstract_inverted_index.numerical | 130 |
| abstract_inverted_index.potential | 144 |
| abstract_inverted_index.preserves | 119 |
| abstract_inverted_index.proposed, | 14 |
| abstract_inverted_index.sampling. | 163 |
| abstract_inverted_index.subdomain | 109 |
| abstract_inverted_index.addressing | 50 |
| abstract_inverted_index.approaches | 93 |
| abstract_inverted_index.conditions | 76 |
| abstract_inverted_index.conforming | 115 |
| abstract_inverted_index.correlated | 89 |
| abstract_inverted_index.efficiency | 136 |
| abstract_inverted_index.meaningful | 88 |
| abstract_inverted_index.multiscale | 19 |
| abstract_inverted_index.physically | 87 |
| abstract_inverted_index.reduction. | 26 |
| abstract_inverted_index.structures | 12 |
| abstract_inverted_index.conditions. | 70 |
| abstract_inverted_index.constructed | 61 |
| abstract_inverted_index.experiments | 131 |
| abstract_inverted_index.methodology | 4 |
| abstract_inverted_index.procedures. | 128 |
| abstract_inverted_index.separation. | 56 |
| abstract_inverted_index.variational | 18 |
| abstract_inverted_index.applications | 51 |
| abstract_inverted_index.contribution | 106 |
| abstract_inverted_index.displacement | 48 |
| abstract_inverted_index.oversampling | 65 |
| abstract_inverted_index.uncorrelated | 95, 162 |
| abstract_inverted_index.decomposition | 22 |
| cited_by_percentile_year | |
| countries_distinct_count | 0 |
| institutions_distinct_count | 4 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/11 |
| sustainable_development_goals[0].score | 0.6200000047683716 |
| sustainable_development_goals[0].display_name | Sustainable cities and communities |
| citation_normalized_percentile |