Accelerating structural dynamics simulations with localised phenomena through matrix compression and projection‐based model order reduction

In this work, a novel approach is introduced for accelerating the solution of structural dynamics problems in the presence of localised phenomena, such as cracks. For this category of problems, conventional projection‐based Model Order Reduction (MOR) methods are either limited with respect to the r...

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Published inInternational journal for numerical methods in engineering Vol. 125; no. 10
Main Authors Agathos, Konstantinos, Vlachas, Konstantinos, Garland, Anthony, Chatzi, Eleni
Format Journal Article
LanguageEnglish
Published Hoboken, USA John Wiley & Sons, Inc 30.05.2024
Wiley Subscription Services, Inc
Wiley Blackwell (John Wiley & Sons)
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ISSN0029-5981
1097-0207
DOI10.1002/nme.7445

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Abstract In this work, a novel approach is introduced for accelerating the solution of structural dynamics problems in the presence of localised phenomena, such as cracks. For this category of problems, conventional projection‐based Model Order Reduction (MOR) methods are either limited with respect to the range of system configurations that can be represented or require frequent solutions of the Full Order Model (FOM) to update the low‐dimensional spaces, in which solutions are represented. In the proposed approach, low‐dimensional spaces, constructed for the healthy structure, are enriched with appropriately selected columns of the flexibility matrix of the system. It can be shown that these spaces contain the solution to the original problem for the static case, while their dimension is much smaller. In order to allow their online construction for arbitrary localised features, the full flexibility matrix of the system should be available. To this end, a hierarchical representation is used for the matrices involved, allowing to compute the flexibility matrix efficiently and with reduced memory requirements. The resulting method offers significant speedups, without sacrificing the flexibility and accuracy of the full order model. The performance and limitations of the approach are studied through a series of examples in structural dynamics.
AbstractList In this work, a novel approach is introduced for accelerating the solution of structural dynamics problems in the presence of localised phenomena, such as cracks. For this category of problems, conventional projection‐based Model Order Reduction (MOR) methods are either limited with respect to the range of system configurations that can be represented or require frequent solutions of the Full Order Model (FOM) to update the low‐dimensional spaces, in which solutions are represented. In the proposed approach, low‐dimensional spaces, constructed for the healthy structure, are enriched with appropriately selected columns of the flexibility matrix of the system. It can be shown that these spaces contain the solution to the original problem for the static case, while their dimension is much smaller. In order to allow their online construction for arbitrary localised features, the full flexibility matrix of the system should be available. To this end, a hierarchical representation is used for the matrices involved, allowing to compute the flexibility matrix efficiently and with reduced memory requirements. The resulting method offers significant speedups, without sacrificing the flexibility and accuracy of the full order model. The performance and limitations of the approach are studied through a series of examples in structural dynamics.
Abstract In this work, a novel approach is introduced for accelerating the solution of structural dynamics problems in the presence of localised phenomena, such as cracks. For this category of problems, conventional projection‐based Model Order Reduction (MOR) methods are either limited with respect to the range of system configurations that can be represented or require frequent solutions of the Full Order Model (FOM) to update the low‐dimensional spaces, in which solutions are represented. In the proposed approach, low‐dimensional spaces, constructed for the healthy structure, are enriched with appropriately selected columns of the flexibility matrix of the system. It can be shown that these spaces contain the solution to the original problem for the static case, while their dimension is much smaller. In order to allow their online construction for arbitrary localised features, the full flexibility matrix of the system should be available. To this end, a hierarchical representation is used for the matrices involved, allowing to compute the flexibility matrix efficiently and with reduced memory requirements. The resulting method offers significant speedups, without sacrificing the flexibility and accuracy of the full order model. The performance and limitations of the approach are studied through a series of examples in structural dynamics.
Author Agathos, Konstantinos
Vlachas, Konstantinos
Chatzi, Eleni
Garland, Anthony
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  givenname: Eleni
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Snippet In this work, a novel approach is introduced for accelerating the solution of structural dynamics problems in the presence of localised phenomena, such as...
Abstract In this work, a novel approach is introduced for accelerating the solution of structural dynamics problems in the presence of localised phenomena,...
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SubjectTerms Columns (structural)
Dynamic structural analysis
Flexibility
Flexibility matrix
fracture mechanics
hierarchically off‐diagonal low‐rank matrices
model order reduction
Model reduction
Title Accelerating structural dynamics simulations with localised phenomena through matrix compression and projection‐based model order reduction
URI https://onlinelibrary.wiley.com/doi/abs/10.1002%2Fnme.7445
https://www.proquest.com/docview/3034131528
https://www.osti.gov/biblio/2301819
Volume 125
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