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.
Development of Strain-Based Approach for Safety Assessment of RC Systems using Non-Linear Numerical Methods / Gino, Diego; Miceli, Elena; Castaldo, Paolo.. - ELETTRONICO. - (2024), pp. 1-13. (Intervento presentato al convegno CST 2024 tenutosi a Prague (Czech Republic) nel 4-6 September 2024).
Development of Strain-Based Approach for Safety Assessment of RC Systems using Non-Linear Numerical Methods
Gino, Diego;Miceli, Elena;Castaldo, Paolo.
2024
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.File | Dimensione | Formato | |
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https://hdl.handle.net/11583/3002416