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Data-based importance sampling estimates for extreme events

Journal of computational physics, 2020-07, Vol.412, p.109429, Article 109429

Grigoriu, M.

2020

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Finite dimensional (FD) Slepian models for non-Gaussian processes

Probabilistic engineering mechanics, 2022-07, Vol.69, p.103323, Article 103323

Grigoriu, M.

2022

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Finite dimensional models for random functions

Journal of computational physics, 2019-01, Vol.376, p.1253-1272

Grigoriu, M.

2019

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Do seismic intensity measures (IMs) measure up?

Probabilistic engineering mechanics, 2016-10, Vol.46, p.80-93

Grigoriu, M.

2016

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Four Finite Dimensional (FD) Surrogates for Continuous Random Processes

Methodology and computing in applied probability, 2023-06, Vol.25 (2), p.45, Article 45

Grigoriu, M.

2023

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First passage times for Gaussian processes by Slepian models

Probabilistic engineering mechanics, 2020-07, Vol.61, p.103086, Article 103086

Grigoriu, M.

2020

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A method for solving stochastic equations by reduced order models and local approximations

Journal of computational physics, 2012-08, Vol.231 (19), p.6495-6513

Grigoriu, M.

2012

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Parametric models for samples of random functions

Journal of computational physics, 2015-09, Vol.297, p.47-71

Grigoriu, M.

2015

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Finite dimensional models for random microstructures

Theory of probability and mathematical statistics, 2022, Vol.106, p.121-142

Grigoriu, M.

2022

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Reduced order models for random functions. Application to stochastic problems

Applied mathematical modelling, 2009, Vol.33 (1), p.161-175

Grigoriu, M.

2009

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Material responses at micro- and macro-scales

Computational materials science, 2015-09, Vol.107, p.190-203

Grigoriu, M.

2015

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Translation models revisited

Probabilistic engineering mechanics, 2017-04, Vol.48, p.68-75

Grigoriu, M.

2017

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Are seismic fragility curves fragile?

Probabilistic engineering mechanics, 2021-01, Vol.63, p.103115, Article 103115

2021

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Noise-induced transitions for random versions of Verhulst model

Probabilistic engineering mechanics, 2014-10, Vol.38, p.136-142

Grigoriu, M.

2014

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Existence and construction of translation models for stationary non-Gaussian processes

Probabilistic engineering mechanics, 2009-10, Vol.24 (4), p.545-551

Grigoriu, M.

2009

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Microstructure models for extreme material responses

Computer methods in applied mechanics and engineering, 2024-11, Vol.431, p.117244, Article 117244

Grigoriu, M.

2024

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A novel approach to improve accuracy in seismic fragility analysis: The modified intensity measure method

Probabilistic engineering mechanics, 2022-07, Vol.69, p.103301, Article 103301

2022

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Solution of linear dynamic systems with uncertain properties by stochastic reduced order models

Probabilistic engineering mechanics, 2013-10, Vol.34, p.168-176

Grigoriu, M.

2013

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Translation processes for wind pressures on low-rise buildings

Journal of wind engineering and industrial aerodynamics, 2019-01, Vol.184, p.405-416

2019

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The role of intensity measures on the accuracy of seismic fragilities

Probabilistic engineering mechanics, 2020-04, Vol.60, p.103041, Article 103041

2020

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Reliability of dynamic systems in random environment by extreme value theory

Probabilistic engineering mechanics, 2014-10, Vol.38, p.54-69

2014

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Spherical harmonic-based random fields based on real particle 3D data: Improved numerical algorithm and quantitative comparison to real particles

Powder technology, 2011-02, Vol.207 (1-3), p.78-86

2011

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Numerical estimates of extreme material responses

Mechanics of materials, 2022-11, Vol.174, p.104453, Article 104453

Grigoriu, M.

2022

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On the efficacy of stochastic collocation, stochastic Galerkin, and stochastic reduced order models for solving stochastic problems

Probabilistic engineering mechanics, 2015-07, Vol.41 (C), p.60-72

2015

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A critical evaluation of closure methods via two simple dynamic systems

Journal of sound and vibration, 2008-10, Vol.317 (1), p.190-198

Grigoriu, M.

2008

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Data-based importance sampling estimates for extreme events

Finite dimensional (FD) Slepian models for non-Gaussian processes

Finite dimensional models for random functions

Do seismic intensity measures (IMs) measure up?

Four Finite Dimensional (FD) Surrogates for Continuous Random Processes

First passage times for Gaussian processes by Slepian models

A method for solving stochastic equations by reduced order models and local approximations

Parametric models for samples of random functions

Finite dimensional models for random microstructures

Reduced order models for random functions. Application to stochastic problems

Material responses at micro- and macro-scales

Translation models revisited

Are seismic fragility curves fragile?

Noise-induced transitions for random versions of Verhulst model

Existence and construction of translation models for stationary non-Gaussian processes

Microstructure models for extreme material responses

A novel approach to improve accuracy in seismic fragility analysis: The modified intensity measure method

Solution of linear dynamic systems with uncertain properties by stochastic reduced order models

Translation processes for wind pressures on low-rise buildings

The role of intensity measures on the accuracy of seismic fragilities

Reliability of dynamic systems in random environment by extreme value theory

Spherical harmonic-based random fields based on real particle 3D data: Improved numerical algorithm and quantitative comparison to real particles

Numerical estimates of extreme material responses

On the efficacy of stochastic collocation, stochastic Galerkin, and stochastic reduced order models for solving stochastic problems

A critical evaluation of closure methods via two simple dynamic systems

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