Holger Keitel
Evaluation of coupled partial models in structural engineering using graph theory and sensitivity analysis
Keitel, Holger; Karaki, Ghada; Lahmer, Tom; Nikulla, Susanne; Zabel, Volkmar
Authors
Ghada Karaki
Tom Lahmer
Susanne Nikulla
Volkmar Zabel
Abstract
The process of analysis and design in structural engineering requires the consideration of different partial models of loading, structural material, structural elements and analysis type, among others. All of these, need an adequate modelling as individuals and as coupled sets to catch a behaviour of interest. This paper proposes an innovative algorithm to facilitate quantitative measures to evaluate coupled partial models in structural engineering. Adapting graph theory and utilising variance based sensitivity analysis enable evaluation and drawing conclusions regarding the combinations of partial models in an engineering system. The algorithm is applied in bridge engineering, analysing bridge behaviour considering dynamic loading, creep and shrinkage material models and further considering geometric nonlinear effects. © 2011 Elsevier Ltd.
Citation
Keitel, H., Karaki, G., Lahmer, T., Nikulla, S., & Zabel, V. (2011). Evaluation of coupled partial models in structural engineering using graph theory and sensitivity analysis. Engineering Structures, 33(12), 3726-3736. https://doi.org/10.1016/j.engstruct.2011.08.009
Journal Article Type | Article |
---|---|
Acceptance Date | Aug 1, 2011 |
Online Publication Date | Aug 30, 2011 |
Publication Date | Dec 1, 2011 |
Deposit Date | Apr 24, 2023 |
Journal | Engineering Structures |
Print ISSN | 0141-0296 |
Electronic ISSN | 1873-7323 |
Publisher | Elsevier |
Peer Reviewed | Peer Reviewed |
Volume | 33 |
Issue | 12 |
Pages | 3726-3736 |
DOI | https://doi.org/10.1016/j.engstruct.2011.08.009 |
Keywords | Evaluation; Sensitivity; Graph theory; Partial models; Coupling; Model choice; Bridge engineering |
Public URL | https://uwe-repository.worktribe.com/output/10705234 |
Publisher URL | https://www.sciencedirect.com/science/article/pii/S0141029611003233?via%3Dihub |
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