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Application of a multi-level probabilistic framework for the risk-based robustness assessment of a RC frame structure

Didier Droogné (UGent) , Wouter Botte (UGent) , Robby Caspeele (UGent) and Luc Taerwe (UGent)
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Abstract
Despite the increased interest and research about structural robustness, one has to notice that no practical framework is available yet to quantify and assess the robustness of structures which takes into account both local structural behavior of the elements under large deformations and the uncertainties of the acting loads and materials. In this contribution advanced calculation methods and risk-based quantification approaches for robustness are combined by a multi-level calculation scheme which is applied for two alternative designs. The developed approach is able to quantify the reliability and structural robustness of planar reinforced concrete frames in an objective way while using a conditional risk-based robustness index and taking into account the developed membrane action. Additionally the assessment and influence of the direct and indirect costs on risk-based robustness quantification are studied.

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Chicago
Droogné, Didier, Wouter Botte, Robby Caspeele, and Luc Taerwe. 2017. “Application of a Multi-level Probabilistic Framework for the Risk-based Robustness Assessment of a RC Frame Structure.” In Safety, Reliability, Risk, Resilience and Sustainability of Structures and Infrastructure (ICOSSAR2017), ed. Christian Bucher, Bruce R. Ellingwood, and Dan M. Frangopol, 1431–1440.
APA
Droogné, D., Botte, W., Caspeele, R., & Taerwe, L. (2017). Application of a multi-level probabilistic framework for the risk-based robustness assessment of a RC frame structure. In C. Bucher, B. R. Ellingwood, & D. M. Frangopol (Eds.), Safety, Reliability, Risk, Resilience and Sustainability of Structures and Infrastructure (ICOSSAR2017) (pp. 1431–1440). Presented at the 12th Int. Conference on Structural Safety and Reliability.
Vancouver
1.
Droogné D, Botte W, Caspeele R, Taerwe L. Application of a multi-level probabilistic framework for the risk-based robustness assessment of a RC frame structure. In: Bucher C, Ellingwood BR, Frangopol DM, editors. Safety, Reliability, Risk, Resilience and Sustainability of Structures and Infrastructure (ICOSSAR2017). 2017. p. 1431–40.
MLA
Droogné, Didier, Wouter Botte, Robby Caspeele, et al. “Application of a Multi-level Probabilistic Framework for the Risk-based Robustness Assessment of a RC Frame Structure.” Safety, Reliability, Risk, Resilience and Sustainability of Structures and Infrastructure (ICOSSAR2017). Ed. Christian Bucher, Bruce R. Ellingwood, & Dan M. Frangopol. 2017. 1431–1440. Print.
@inproceedings{8546680,
  abstract     = {Despite the increased interest and research about structural robustness, one
has to notice that no practical framework is available yet to quantify and assess the
robustness of structures which takes into account both local structural behavior of the
elements under large deformations and the uncertainties of the acting loads and materials.
In this contribution advanced calculation methods and risk-based quantification
approaches for robustness are combined by a multi-level calculation scheme
which is applied for two alternative designs. The developed approach is able to quantify
the reliability and structural robustness of planar reinforced concrete frames in an
objective way while using a conditional risk-based robustness index and taking into
account the developed membrane action. Additionally the assessment and influence
of the direct and indirect costs on risk-based robustness quantification are studied.},
  author       = {Droogné, Didier and Botte, Wouter and Caspeele, Robby and Taerwe, Luc},
  booktitle    = {Safety, Reliability, Risk, Resilience and Sustainability of Structures and Infrastructure (ICOSSAR2017)},
  editor       = {Bucher, Christian and Ellingwood, Bruce R. and Frangopol, Dan M.},
  isbn         = {978-3-903024-28-1},
  language     = {eng},
  location     = {Wenen (Oostenrijk)},
  pages        = {1431--1440},
  title        = {Application of a multi-level probabilistic framework for the risk-based robustness assessment of a RC frame structure},
  year         = {2017},
}