On the reliability of structures equipped with a class of friction-based devices under stochastic excitation

Jensen, Héctor A.; Mayorga, F.; Valdebenito, Marcos A.

doi:10.1016/j.cma.2020.112965

Cited by 5 publications

(3 citation statements)

References 43 publications

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Section: Numerical Simulation Resultsmentioning

confidence: 99%

“…Previous research has quantified the uncertainty in the model parameters by performing uncertainty propagation, sensitivity, Bayesian model updating, or reliability analyses to assess the effects of the uncertainty in the model parameters on the seismic response and performance of structures. 43,[45][46][47][48][49][50] They have explicitly considered the uncertainty in the model parameters by modeling it through suitable PDFs. They have demonstrated that considering this source of uncertainty introduces significant variability in the results of the seismic performance-based design and assessment of structures.…”

Section: Importance Of Uncertainty Quantificationmentioning

confidence: 99%

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Reinforced concrete wall buildings with force‐limiting connections: Modeling effects and uncertainty propagation

Mayorga,

Tsampras

2024

Earthq Engng Struct Dyn

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This paper assesses the effects of (1) the gravity load‐resisting system (GLRS) modeling approach, (2) the seismic force‐resisting system (SFRS) modeling approach, and (3) the uncertainty of the model parameters of the constitutive law of the longitudinal reinforcing steel of the SFRS on the seismic responses of a 12‐story reinforced concrete wall building with force‐limiting connections. This is achieved by conducting nonlinear numerical earthquake simulations. The seismic responses of the building models with force‐limiting connections using two GLRS modeling approaches, (1) a moment frame system and (2) a pin‐base lean‐on‐column system, are compared. The seismic responses of the building models with conventional connections and force‐limiting connections, respectively, using two SFRS modeling approaches, (1) a distributed‐plasticity modeling approach and (2) a lumped‐plasticity modeling approach, are compared. A joint probability density function for the ASTM‐A615 Grade 60 steel available in the literature is used to conduct an uncertainty propagation analysis through Monte Carlo simulation. The uncertainty in the steel model parameters is propagated to the seismic responses of the building models with conventional connections and force‐limiting connections, respectively. The distributions of the mean values of the peak structural responses of the building models are studied. The effects of the GLRS modeling approach on the seismic responses are not significant in the context of seismic performance‐based design and assessment of buildings with force‐limiting connections. The effects of the SFRS modeling approach and the uncertainty in the steel model parameters on the floor total acceleration and force responses are reduced by including force‐limiting connections.

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Section: Numerical Simulation Resultsmentioning

confidence: 99%

Section: Importance Of Uncertainty Quantificationmentioning

confidence: 99%

Reinforced concrete wall buildings with force‐limiting connections: Modeling effects and uncertainty propagation

Mayorga,

Tsampras

2024

Earthq Engng Struct Dyn

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“…[25,33]) In the herein study, it is deemed appropriate to study the problem from a firstpassage perspective (e.g. [34,35]) resorting to the selection of the limit-state first-excursion time as the EDP. Note in passing that the selected scalable IM of the damped spectral acceleration considering the level of the exhibited nonlinearity, as depicted in the forcedependent vibrational properties bears a direct relation to its damaging potential.…”

Section: Definition Of Limit-states For Efficient System First-passagmentioning

confidence: 99%

First-excursion stochastic incremental dynamics methodology for hysteretic structural systems subject to seismic excitation

Mitseas

Beer

2021

Computers & Structures

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A novel efficient stochastic incremental dynamics methodology considering first-excursion probability for nonlinear structural systems subject to stochastic seismic excitations in alignment with contemporary aseismic codes provisions is developed. To this aim, an approximate nonlinear stochastic dynamics technique for conducting first-passage probability density function (PDF) based stochastic incremental dynamic analysis is developed. Firstly, an efficient stochastic iterative linearization methodology is devised achieving convergence of the equivalent system damping ratios with the damping premises of the excitation response spectrum leading to a coherent determination of a robust scalable intensity measure (IM) which bears direct relation to its damaging potential. Subsequently, utilizing the stochastically derived time-varying forced vibrational system properties in conjunction with a combination of deterministic and stochastic averaging treatment the first-excursion PDF is efficiently determined for each and every of the considered limit-state rules (LSs). Lastly, an incremental mechanization analogous to the one used in normal incremental dynamic analysis (IDA) is proposed to ensure the necessary compatibility for applications in the fields of structural and earthquake engineering. The back-and-forth twisting pattern of IDA curves which is related with the multiple points satisfaction of the very same limit-state rule encourages the study of the problem from a first-passage perspective considering timing in addition to the intensity of the excitation variable. The selected engineering demand parameter (EDP) of the firstexcursion time constitutes an excellent response related variable with twofold meaning; it performs structural behavior monitoring considering intensity and timing information whereas it is inherently coupled with limit-state requirements. The developed stochastic dynamics technique provides with reliable higher order statistics (i.e., PDF) of the chosen EDP. A structural system comprising the bilinear hysteretic model serves as a numerical example for demonstrating the reliability of the proposed first-excursion PDF-based stochastic incremental dynamics methodology. Nonlinear response time-history analysis involving a large ensemble of Eurocode 8 spectrum compatible accelerograms is conducted to assess the accuracy of the proposed methodology in a Monte Carlo-based context.

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An effective implementation of reliability methods for Bayesian model updating of structural dynamic models with multiple uncertain parameters

Jerez

Jensen

Beer

2022

Reliability Engineering & System Safety

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On the reliability of structures equipped with a class of friction-based devices under stochastic excitation

Cited by 5 publications

References 43 publications

Reinforced concrete wall buildings with force‐limiting connections: Modeling effects and uncertainty propagation

Reinforced concrete wall buildings with force‐limiting connections: Modeling effects and uncertainty propagation

First-excursion stochastic incremental dynamics methodology for hysteretic structural systems subject to seismic excitation

An effective implementation of reliability methods for Bayesian model updating of structural dynamic models with multiple uncertain parameters

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