Benchmark of Structural Reliability Analysis Methods of Non-linear Structures

Publikation: Bidrag til bog/antologi/rapport/konference proceedingKonferenceartikel i proceedingForskningpeer review

Resumé

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.
OriginalsprogEngelsk
TitelInternational Probabilistic Workshop 2019
Publikationsdatojun. 2019
StatusAccepteret/In press - jun. 2019

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Reliability analysis
Nonlinear dynamical systems
Vibration control
Extrapolation
Nonlinear systems
Dynamical systems
Friction
Control systems
Monte Carlo simulation

Citer dette

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title = "Benchmark of Structural Reliability Analysis Methods of Non-linear Structures",
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.",
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Benchmark of Structural Reliability Analysis Methods of Non-linear Structures. / Sepúlveda, Juan G.; Faber, Michael Havbro.

International Probabilistic Workshop 2019. 2019.

Publikation: Bidrag til bog/antologi/rapport/konference proceedingKonferenceartikel i proceedingForskningpeer review

TY - GEN

T1 - Benchmark of Structural Reliability Analysis Methods of Non-linear Structures

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N2 - 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.

AB - 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.

M3 - Article in proceeding

BT - International Probabilistic Workshop 2019

ER -