☆ 4.7 Article

A multi-fidelity stochastic simulation scheme for estimation of small failure probabilities

STRUCTURAL SAFETY (2024)

Related references

Note: Only part of the references are listed.

Article Engineering, Civil

An efficient stratified sampling scheme for the simultaneous estimation of small failure probabilities in wind engineering applications

Srinivasan Arunachalam et al.

Summary: With the development of performance-based engineering frameworks for extreme winds, there is a need for more efficient estimation of failure probabilities associated with multiple limit states, including collapse. To address this, an optimal stratified sampling-based simulation scheme is proposed, which has several advantages over standard Monte Carlo simulation in dealing with high-dimensional uncertain spaces and multiple limit state functions. The proposed scheme shows promise in reducing variance compared to MCS and has potential for wider applicability in performance-based wind engineering.

STRUCTURAL SAFETY (2023)

Add to Collection

Article Engineering, Mechanical

Generalized Stratified Sampling for Efficient Reliability Assessment of Structures against Natural Hazards

Srinivasan Arunachalam et al.

Summary: Performance-based engineering for natural hazards involves rigorous evaluation of uncertain structural behavior under extreme stochastic loads. This study proposes a generalized stratified sampling scheme for estimating failure probabilities associated with multiple limit states. It includes two phases of sampling: the first for generating strata-wise samples and estimating strata probabilities, and the second for estimating strata-wise failure probabilities. The proposed scheme improves efficiency by incorporating Markov Chain Monte Carlo Phase-I sampling and optimal Phase-II sampling based on user-specified target coefficients of variation.

JOURNAL OF ENGINEERING MECHANICS (2023)

Add to Collection

Article Engineering, Civil

A framework for the efficient reliability assessment of inelastic wind excited structures at dynamic shakedown

Wei-Chu Chuang et al.

Summary: The introduction of performance-based wind engineering has opened up possibilities in designing wind excited structural systems with controlled inelasticity. This paper presents a stochastic simulation-based reliability assessment framework for assessing the reliability of structural systems at dynamic shakedown. The study shows that there is a significant increase in reliability at dynamic shakedown compared to component and system first yield.

JOURNAL OF WIND ENGINEERING AND INDUSTRIAL AERODYNAMICS (2022)

Add to Collection

Article Engineering, Civil

Active learning for structural reliability: Survey, general framework and benchmark

Maliki Moustapha et al.

Summary: Active learning methods have gained popularity in solving complex structural reliability problems by building inexpensive surrogate models. This paper surveys recent literature and proposes a generalized modular framework for building efficient active learning strategies. The extensive benchmark results provide recommendations for practitioners and highlight the importance of combining surrogates with sophisticated reliability estimation algorithms.

STRUCTURAL SAFETY (2022)

Add to Collection

Article Construction & Building Technology

Reliability-Based Collapse Assessment of Wind-Excited Steel Structures within Performance-Based Wind Engineering

Srinivasan Arunachalam et al.

Summary: This paper proposes a probabilistic collapse assessment framework for steel structures, which integrates high-fidelity nonlinear structural modeling and wind-tunnel-informed stochastic wind load model to perform nonlinear time history analysis. The framework efficiently estimates reliabilities associated with rare events and provides critical discussions on collapse mechanisms, nonlinear behavior, and fragility functions of residual and peak story drifts.

JOURNAL OF STRUCTURAL ENGINEERING (2022)

Add to Collection

Article Computer Science, Interdisciplinary Applications

An active-learning method based on multi-fidelity Kriging model for structural reliability analysis

Jiaxiang Yi et al.

Summary: This paper proposes an active-learning method based on a multi-fidelity Kriging model for structural reliability analysis, which determines the location and fidelity level of the updated sample by maximizing the augmented expected feasibility function AEFF, and introduces a new stopping criterion to ensure proper iteration. Comparison results show that the proposed method can provide accurate failure probability estimation with less computational cost.

STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION (2021)

Add to Collection

Article Computer Science, Interdisciplinary Applications

Multi-fidelity modeling with different input domain definitions using deep Gaussian processes

Ali Hebbal et al.

Summary: Multi-fidelity approaches combine high-fidelity and low-fidelity datasets to improve prediction accuracy. Gaussian processes and deep Gaussian processes are popular methods, with the latter enhancing expressive power by considering nonlinear correlations between fidelities. However, existing methods only consider the case where inputs of different fidelity models are defined over the same domain.

STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION (2021)

Add to Collection

Article Engineering, Civil

Multi-fidelity Monte Carlo for seismic risk assessment applications

D. Patsialis et al.

Summary: This study examines a multi-fidelity Monte Carlo implementation to reduce computational burden in probabilistic seismic risk assessment. By leveraging biased evaluations from a low-fidelity model and using simulations from a high-fidelity finite element model, an unbiased Monte Carlo estimation process is established. Optimal simulation numbers from each model are selected to minimize variability in risk predictions.

STRUCTURAL SAFETY (2021)

Add to Collection

Article Engineering, Civil

Kriging metamodeling for seismic response distribution estimation

Aikaterini P. Kyprioti et al.

Summary: This paper discusses how to address uncertainty in ground motions in seismic risk assessment and presents two approaches to optimize the model for accurate approximation.

EARTHQUAKE ENGINEERING & STRUCTURAL DYNAMICS (2021)

Add to Collection

Article Computer Science, Interdisciplinary Applications

An active weight learning method for efficient reliability assessment with small failure probability

Zeng Meng et al.

STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION (2020)

Add to Collection

Article Construction & Building Technology

Multifidelity Gaussian Process Model Integrating Low- and High-Fidelity Data Considering Censoring

Min Li et al.

JOURNAL OF STRUCTURAL ENGINEERING (2020)

Add to Collection

Article Engineering, Civil

Probabilistic performance assessment of inelastic wind excited structures within the setting of distributed plasticity

Wei-Chu Chuang et al.

STRUCTURAL SAFETY (2020)

Add to Collection

Article Construction & Building Technology

A Performance-Based Wind Engineering Framework for Envelope Systems of Engineered Buildings Subject to Directional Wind and Rain Hazards

Zhicheng Ouyang et al.

JOURNAL OF STRUCTURAL ENGINEERING (2020)

Add to Collection

Article Computer Science, Interdisciplinary Applications

Multifidelity probability estimation via fusion of estimators

Boris Kramer et al.

JOURNAL OF COMPUTATIONAL PHYSICS (2019)

Add to Collection

Article Engineering, Civil

AK-MCSi: A Kriging-based method to deal with small failure probabilities and time-consuming models

Nicolas Lelievre et al.

STRUCTURAL SAFETY (2018)

Add to Collection

Article Mathematics, Applied

Survey of Multifidelity Methods in Uncertainty Propagation, Inference, and Optimization

Benjamin Peherstorfer et al.

SIAM REVIEW (2018)

Add to Collection

Article Engineering, Civil

A performance-based design framework for the integrated collapse and non-collapse assessment of wind excited buildings

Wei-Chu Chuang et al.

ENGINEERING STRUCTURES (2017)

Add to Collection

Article Engineering, Multidisciplinary

Multifidelity importance sampling

Benjamin Peherstorfer et al.

COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING (2016)

Add to Collection

Article Construction & Building Technology

System-based design of planar steel frames, I: Reliability framework

Hao Zhang et al.

JOURNAL OF CONSTRUCTIONAL STEEL RESEARCH (2016)

Add to Collection

Article Engineering, Industrial

The generalization of Latin hypercube sampling

Michael D. Shields et al.

RELIABILITY ENGINEERING & SYSTEM SAFETY (2016)

Add to Collection

Article Mathematics, Applied

OPTIMAL MODEL MANAGEMENT FOR MULTIFIDELITY MONTE CARLO ESTIMATION

Benjamin Peherstorfer et al.

SIAM JOURNAL ON SCIENTIFIC COMPUTING (2016)

Add to Collection

Article Engineering, Civil

An efficient framework for the elasto-plastic reliability assessment of uncertain wind excited systems

Pietro Tabbuso et al.

STRUCTURAL SAFETY (2016)

Add to Collection

Article Engineering, Civil

Wind load factors for dynamically sensitive structures with uncertainties

Dae Kun Kwon et al.

ENGINEERING STRUCTURES (2015)

Add to Collection

Article Construction & Building Technology

Performance-Based Design of High-Rise Buildings for Occupant Comfort

Enrica Bernardini et al.

JOURNAL OF STRUCTURAL ENGINEERING (2015)

Add to Collection

Article Construction & Building Technology

Performance-Based Design of High-Rise Buildings for Occupant Comfort

Enrica Bernardini et al.

JOURNAL OF STRUCTURAL ENGINEERING (2015)

Add to Collection

Article Biophysics

Towards efficient uncertainty quantification in complex and large-scale biomechanical problems based on a Bayesian multi-fidelity scheme

Jonas Biehler et al.

BIOMECHANICS AND MODELING IN MECHANOBIOLOGY (2015)

Add to Collection

Article Engineering, Civil

System reliabilities in steel structural frame design by inelastic analysis

Hao Zhang et al.

ENGINEERING STRUCTURES (2014)

Add to Collection

Article Engineering, Multidisciplinary

Multifidelity approaches for optimization under uncertainty

Leo W. T. Ng et al.

INTERNATIONAL JOURNAL FOR NUMERICAL METHODS IN ENGINEERING (2014)

Add to Collection

Article Construction & Building Technology

On the modelling of initial geometric imperfections of steel frames in advanced analysis

Shabnam Shayan et al.

JOURNAL OF CONSTRUCTIONAL STEEL RESEARCH (2014)

Add to Collection

Article Construction & Building Technology

Computational Approach for Collapse Assessment of Concentrically Braced Frames in Seismic Regions

Emre Karamanci et al.

JOURNAL OF STRUCTURAL ENGINEERING (2014)

Add to Collection

Article Mathematics, Interdisciplinary Applications

Bayesian Analysis of Hierarchical Multifidelity Codes

Loic Le Gratiet

SIAM-ASA JOURNAL ON UNCERTAINTY QUANTIFICATION (2013)

Add to Collection

Article Mathematics, Interdisciplinary Applications

Multilevel Monte Carlo methods and applications to elliptic PDEs with random coefficients

K. A. Cliffe et al.

COMPUTING AND VISUALIZATION IN SCIENCE (2011)

Add to Collection

Article Computer Science, Interdisciplinary Applications

Evaluation of failure probability via surrogate models

Jing Li et al.

JOURNAL OF COMPUTATIONAL PHYSICS (2010)

Add to Collection

Article Mathematics, Applied

ACCURATE UNCERTAINTY QUANTIFICATION USING INACCURATE COMPUTATIONAL MODELS

Phaedon-Stelios Koutsourelakis

SIAM JOURNAL ON SCIENTIFIC COMPUTING (2009)

Add to Collection

Article Construction & Building Technology

Unintended consequences of modeling damping in structures

Finley A. Charney

JOURNAL OF STRUCTURAL ENGINEERING-ASCE (2008)

Add to Collection

Article Management

Multilevel Monte Carlo path simulation

Michael B. Giles

OPERATIONS RESEARCH (2008)

Add to Collection

Article Engineering, Mechanical

Proper orthogonal decomposition-based modeling, analysis, and simulation of dynamic wind load effects on structures

XZ Chen et al.

JOURNAL OF ENGINEERING MECHANICS (2005)

Add to Collection

Article Engineering, Mechanical

Reliability of structures in high dimensions, part I:: algorithms and applications

PS Koutsourelakis et al.

PROBABILISTIC ENGINEERING MECHANICS (2004)

Add to Collection

Article Engineering, Mechanical

Estimation of small failure probabilities in high dimensions by subset simulation

SK Au et al.

PROBABILISTIC ENGINEERING MECHANICS (2001)

Add to Collection

Article Biology

Predicting the output from a complex computer code when fast approximations are available

MC Kennedy et al.

BIOMETRIKA (2000)

Add to Collection

© Peeref 2019-2024. All rights reserved.