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Computational Sensitivity Analysis for Construction Stage Models

 Computational Sensitivity Analysis for Construction Stage Models
Author(s): ,
Presented at IABSE Symposium: Challenges for Existing and Oncoming Structures, Prague, Czech Republic, 25-27 May 2022, published in , pp. 1676-1683
DOI: 10.2749/prague.2022.1676
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This paper is about sensitivity analysis and discusses how computational approaches like adjoint sensitivity analysis can be adopted for structural analysis models which consider the construction s...
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Bibliographic Details

Author(s): (Chair of Structural Analysis, Technical University of Munich, Germany)
(Chair of Structural Analysis, Technical University of Munich, Germany)
Medium: conference paper
Language(s): English
Conference: IABSE Symposium: Challenges for Existing and Oncoming Structures, Prague, Czech Republic, 25-27 May 2022
Published in:
Page(s): 1676-1683 Total no. of pages: 8
Page(s): 1676-1683
Total no. of pages: 8
DOI: 10.2749/prague.2022.1676
Abstract:

This paper is about sensitivity analysis and discusses how computational approaches like adjoint sensitivity analysis can be adopted for structural analysis models which consider the construction stage process. It is also shown how the sensitivities can be visualized by sensitivity maps and how these can significantly support the use of sensitivity analysis in structural engineering practice. In addition to the methodological developments, the paper also focuses on demonstrating the application of the approach. By means of an example, sensitivity distributions based on a holistic building model and a construction stage model are computed and compared. In that regard, the paper discusses how sensitivity analysis can provide information about the properties of the used models and how sensitivity data can assist the model assessment.

Keywords:
sensitivity analysis construction stage analysis advanced structural analysis advanced models of structures
Copyright: © 2022 International Association for Bridge and Structural Engineering (IABSE)
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