Abstract
In Structural Engineering, one of the main objectives is to find robust solutions that ensure structural safety without sacrificing cost-effectiveness. To achieve this goal, one strategy involves considering the uncertainties inherent in projects, taking into account the variability of design parameters, rather than relying solely on characteristic values provided by semi-probabilistic approaches. This probabilistic paradigm allows for estimating the probability of failure of structural elements and systems, providing robustness to design, contributing to decision-making process, and reducing risks associated with both overly conservative and expensive projects, and economical yet unsafe projects. This study aims to implement the coupling between mechanical and reliability models to analyze the structural behavior of plates in linear regime. Mechanical models based on the Boundary Element Method (BEM) and reliability models based on Monte Carlo Simulation (MCS) and First Order Reliability Method (FORM) will be developed and validated, by using Python language. The random variables considered may include mechanical parameters such as elasticity modulus and Poisson's ratio, dimensions of structural elements, as well as applied loads. The objective is to evaluate the probability of occurrence of usual limit states in structural analysis, such as the violation of allowable displacement and stress values.
Published Version
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