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D. Gino, E. Miceli, P. Castaldo, "Development of Strain-Based Approach for Safety Assessment of RC Systems using Non-Linear Numerical Methods", in P. Iványi, J. Kruis, B.H.V. Topping, (Editors), "Proceedings of the Fifteenth International Conference on Computational Structures Technology", Civil-Comp Press, Edinburgh, UK, Online volume: CCC 9, Paper 9.2, 2024, doi:10.4203/ccc.9.9.2

Keywords: non-linear numerical analysis, global safety format, structural safety, strain-based method, RC structures, finite elements method.

Abstract

Refined non-linear numerical analyses can be a powerful tool for evaluating the safety level of both new and existing RC structural systems accurately. Researchers and code-makers have made significant efforts to define suitable safety formats to meet reliability requirements using refined non-linear numerical analyses. However, employing refined non-linear numerical analyses can be time-consuming with practical challenges. This study describes the basis for a method that minimizes the need for refined non-linear numerical analyses while providing an accurate estimate of structural resistance. The statistical parameters characterizing the probabilistic distribution of global structural resistance can be determined by fitting equations based on extensive probabilistic investigations, considering the peak strain in the main reinforcement. This strain can be estimated through a refined non-linear numerical analysis of the RC member using mean material properties and nominal geometrical ones. The estimation of these statistical parameters facilitates the assessment of partial safety factors within a semi-probabilistic framework for practical applications.

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Front Page Browse CCC CCP CSETS CTR IJRT Other Authors Search Purchase Guide FAQ Contact us	Civil-Comp Conferences ISSN 2753-3239 CCC: 9 PROCEEDINGS OF THE FIFTEENTH INTERNATIONAL CONFERENCE ON COMPUTATIONAL STRUCTURES TECHNOLOGY Edited by: P. Iványi, J. Kruis and B.H.V. Topping Paper 9.2 Development of Strain-Based Approach for Safety Assessment of RC Systems using Non-Linear Numerical Methods D. Gino, E. Miceli and P. Castaldo Department of Structural, Geotechnical and Building Engineering (DISEG), Politecnico di Torino, Torino, Italy doi:10.4203/ccc.9.9.2 Full Bibliographic Reference for this paper D. Gino, E. Miceli, P. Castaldo, "Development of Strain-Based Approach for Safety Assessment of RC Systems using Non-Linear Numerical Methods", in P. Iványi, J. Kruis, B.H.V. Topping, (Editors), "Proceedings of the Fifteenth International Conference on Computational Structures Technology", Civil-Comp Press, Edinburgh, UK, Online volume: CCC 9, Paper 9.2, 2024, doi:10.4203/ccc.9.9.2 Keywords: non-linear numerical analysis, global safety format, structural safety, strain-based method, RC structures, finite elements method. Abstract Refined non-linear numerical analyses can be a powerful tool for evaluating the safety level of both new and existing RC structural systems accurately. Researchers and code-makers have made significant efforts to define suitable safety formats to meet reliability requirements using refined non-linear numerical analyses. However, employing refined non-linear numerical analyses can be time-consuming with practical challenges. This study describes the basis for a method that minimizes the need for refined non-linear numerical analyses while providing an accurate estimate of structural resistance. The statistical parameters characterizing the probabilistic distribution of global structural resistance can be determined by fitting equations based on extensive probabilistic investigations, considering the peak strain in the main reinforcement. This strain can be estimated through a refined non-linear numerical analysis of the RC member using mean material properties and nominal geometrical ones. The estimation of these statistical parameters facilitates the assessment of partial safety factors within a semi-probabilistic framework for practical applications. download the full-text of this paper (PDF, 13 pages, 939 Kb) go to the previous paper go to the next paper return to the table of contents return to the volume description
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