Benchmark of Structural Reliability Analysis Methods of Non-linear Structures

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

Abstract

The present contribution presents a benchmark of a selection of techniques for assessing structural reliability for non-linear dynamical systems. The benchmark is conducted for an uncertain structural system with two localized nonlinearities, i) due to the friction between two structural elements and ii) due to the presence of a vibration control system. The reliability analysis techniques selected are divided into two groups. The first group of techniques are Monte Carlo Simulation based methods, namely, Crude Monte Carlo Simulation, the Monte Carlo Simulation Extrapolation Technique and Sub-set Simulation. The second group is composed of a surrogate method suitable for dynamical non-linear systems called the Probability Density Evolution Method. The efficiency of each reliability technique is assessed for different excitation models; deterministic, random non-Gaussian and random non-stationary; aiming to assess the applicability of the techniques for each type of excitation. Additionally, different levels of uncertainty associated with the parameters defining the dynamical system are considered; aiming to analyse the effect of this on the efficiency and applicability of each reliability analysis technique.
Original languageEnglish
Title of host publicationInternational Probabilistic Workshop 2019
Publication date2019
Publication statusPublished - 2019
Event17th International Probabilistic Workshop - Edingburgh, United Kingdom
Duration: 11 Sep 201913 Sep 2019

Conference

Conference17th International Probabilistic Workshop
Country/TerritoryUnited Kingdom
CityEdingburgh
Period11/09/201913/09/2019

Fingerprint

Dive into the research topics of 'Benchmark of Structural Reliability Analysis Methods of Non-linear Structures'. Together they form a unique fingerprint.

Cite this