☆ 4.7 Article

Neural network-aided simulation of non-Gaussian stochastic processes

RELIABILITY ENGINEERING & SYSTEM SAFETY (2024)

Related references

Note: Only part of the references are listed.

Article Engineering, Mechanical

Multivariate non-Gaussian process simulation based on HPM-JTM hybrid model

Ying Luo et al.

Summary: The Gaussian assumption is not applicable for the simulation of wind field or wind load in some situations, making the simulation of non-Gaussian process significant. A HPM-JTM hybrid model based on translation process is proposed to avoid iteration and maintain a wide application range. The correlation function of the related Gaussian process can be solved using analytical or numerical expression during the simulation. A numerical example is presented to demonstrate the application of the model, showing that it provides a reasonable estimation for the target case and can be considered as an appropriate candidate for the simulation of multivariate non-Gaussian process.

PROBABILISTIC ENGINEERING MECHANICS (2023)

Add to Collection

Article Engineering, Mechanical

An iterative multi-fidelity scheme for simulating multi-dimensional non-Gaussian random fields

Zhibao Zheng et al.

Summary: This paper presents an efficient multi-fidelity scheme to simulate multi-dimensional non-Gaussian random fields. Two numerical algorithms are proposed to generate random samples that satisfy the target covariance function and marginal distribution. The computational effort is reduced by using Karhunen-Loeve expansion.

MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2023)

Add to Collection

Article Engineering, Industrial

Reliability analysis of structures with inerter-based isolation layer under stochastic seismic excitations

Jin-Yang Li et al.

Summary: This paper conducts simulation-based stochastic dynamic response analysis and reliability analysis to examine the feasibility and robustness of a base isolation technique using a tuned inerter damper (TID) under random earthquake excitations. The results show that the introduction of a TID isolation layer significantly alleviates the seismic randomness effect, enhances the overall system robustness, and improves the reliability of the RC structure, highlighting its effectiveness and potential in future industrial applications.

RELIABILITY ENGINEERING & SYSTEM SAFETY (2023)

Add to Collection

Article Engineering, Mechanical

Simulating nonstationary non-Gaussian vector process based on continuous wavelet transform

H. P. Hong et al.

Summary: This study introduces a new iterative algorithm based on discretized continuous wavelet transform (CWT) for simulating nonstationary non-Gaussian vector processes. The algorithm is designed for a CWT pair within the wavelet analysis framework, allowing for handling time-dependent and time-independent coherence. Applied to generate nonstationary winds and ground motions, the algorithm matches prescribed probability distributions and coherence functions.

MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2022)

Add to Collection

Article Engineering, Industrial

Time-dependent reliability assessment of aging structures considering stochastic resistance degradation process

Yiming Yang et al.

Summary: Reasonable assessment of structural resistance degradation and reliability is crucial for formulating targeted maintenance strategy. A novel approach based on Gamma distribution for stochastic resistance degradation model is proposed in this paper, which is applied and demonstrated through a case analysis of concrete bridge.

RELIABILITY ENGINEERING & SYSTEM SAFETY (2022)

Add to Collection

Article Engineering, Industrial

A non-Gaussian stochastic model from limited observations using polynomial chaos and fractional moments

Ruijing Zhang et al.

Summary: This paper presents a method based on polynomial chaos and fractional moments for constructing non-Gaussian random models from limited observations. The method is able to quantify the randomness and uncertainty of the observed non-Gaussian field simultaneously, and facilitates the implementation of polynomial chaos-based stochastic analysis in practical engineering applications.

RELIABILITY ENGINEERING & SYSTEM SAFETY (2022)

Add to Collection

Article Engineering, Mechanical

Simulating multivariate stationary non-Gaussian process based on wavenumber-frequency spectrum and unified Hermite polynomial model

Zhao Zhao et al.

Summary: This paper proposes a novel simulation method for the reliability evaluation of long span structures, considering the spatial variation and non-Gaussianity of input excitations. The method is based on the wavenumber-frequency spectrum and unified Hermite polynomial model, and it transforms the non-Gaussian data into underlying Gaussian data within an applicable range, while providing corresponding remedies for incompatibility issues.

PROBABILISTIC ENGINEERING MECHANICS (2022)

Add to Collection

Article Engineering, Civil

Dynamic response and reliability analyses of non-linear structures driven by non-stationary non-Gaussian stochastic ground motions

Jun Xu et al.

Summary: This paper investigates the stochastic dynamic response and reliability assessment of non-linear structures driven by non-stationary non-Gaussian ground motions. Non-stationary non-Gaussian ground motions are simulated using the translation process theory, and an improved model is developed to obtain a power spectral density that matches the target non-Gaussian probability distribution. The probability density evolution method is employed for stochastic dynamic response and reliability analysis, with a new high-dimensional points selection strategy based on clustering algorithm.

ENGINEERING STRUCTURES (2022)

Add to Collection

Article Engineering, Industrial

Multifractional and long-range dependent characteristics for remaining useful life prediction of cracking gas compressor

Wanqing Song et al.

Summary: In this study, a degradation model based on a nonlinear drift function and Linear Multifractional Levy Stable Motion (LMSM) is developed for predicting the remaining useful life (RUL) of Cracking gas compressors (CGCs). The model captures the nonlinear, long-range dependence, multifractal, and non-Gaussian characteristics of the degradation process. A RUL prediction framework for CGCs is proposed and validated using real observation data.

RELIABILITY ENGINEERING & SYSTEM SAFETY (2022)

Add to Collection

Article Engineering, Civil

Modeling and simulating nonhomogeneous non-Gaussian corrosion fields on buried pipelines and its use in predicting burst capacities of corroded pipelines

W. Zhou et al.

Summary: The study introduces an iterative algorithm for simulating nonhomogeneous non-Gaussian corrosion fields on buried oil and gas pipeline's external surfaces, successfully capturing the statistical characteristics of naturally occurring corrosion fields. Through finite element analyses, the algorithm also evaluates the burst capacities of pipe segments, providing significant value to pipeline corrosion management practice.

ENGINEERING STRUCTURES (2021)

Add to Collection

Article Engineering, Civil

Effects of free-stream turbulence on non-Gaussian characteristics of fluctuating wind pressures on a 5:1 rectangular cylinder

Xiongwei Yang et al.

Summary: The study found that fluctuating pressures beneath the separating flow exhibit non-Gaussian features, strongly influenced by turbulence intensity. When the ratio of integral scale to depth changes, there is almost no variation in statistical parameters.

JOURNAL OF WIND ENGINEERING AND INDUSTRIAL AERODYNAMICS (2021)

Add to Collection

Article Engineering, Mechanical

A model to simulate multidimensional nonstationary and non-Gaussian fields based on S-transform

H. P. Hong et al.

Summary: An iterative algorithm is proposed in this study to simulate multidimensional nonstationary and non-Gaussian random fields, which is efficient and converges quickly. The application of the algorithm is demonstrated through three numerical examples of practical interest.

MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2021)

Add to Collection

Article Engineering, Industrial

Structural reliability assessment through surrogate based importance sampling with dimension reduction

M. Munoz Zuniga et al.

Summary: This paper introduces a method for reliability assessment in extreme conditions using surrogate models and importance sampling, with the use of dimension reduction techniques to construct a metamodel of the limit state function, reducing the number of calls to the computer model.

RELIABILITY ENGINEERING & SYSTEM SAFETY (2021)

Add to Collection

Article Engineering, Industrial

An artificial neural network supported stochastic process for degradation modeling and prediction

Di Liu et al.

Summary: This study proposes an artificial neural network-supported stochastic process for degradation modeling and prediction, which is trained offline and evaluated for real-time prediction through Bayesian inference. The experiment shows that the method has high accuracy in degradation modeling and prediction.

RELIABILITY ENGINEERING & SYSTEM SAFETY (2021)

Add to Collection

Article Engineering, Civil

Simulation of stationary non-Gaussian multivariate wind pressures using moment-based piecewise Hermite polynomial model

Min Liu et al.

JOURNAL OF WIND ENGINEERING AND INDUSTRIAL AERODYNAMICS (2020)

Add to Collection

Article Engineering, Civil

An analytical formula for Gaussian to non-Gaussian correlation relationship by moment-based piecewise Hermite polynomial model with application in wind engineering

Liuliu Peng et al.

JOURNAL OF WIND ENGINEERING AND INDUSTRIAL AERODYNAMICS (2020)

Add to Collection

Article Engineering, Industrial

Non-parametric simulation of non-stationary non-gaussian 3D random field samples directly from sparse measurements using signal decomposition and Markov Chain Monte Carlo (MCMC) simulation

Tengyuan Zhao et al.

RELIABILITY ENGINEERING & SYSTEM SAFETY (2020)

Add to Collection

Article Engineering, Mechanical

Unified Hermite Polynomial Model and Its Application in Estimating Non-Gaussian Processes

Xuan-Yi Zhang et al.

JOURNAL OF ENGINEERING MECHANICS (2019)

Add to Collection

Article Engineering, Civil

Stochastic dynamic response analysis and reliability assessment of non-linear structures under fully non-stationary ground motions

Jun Xu et al.

STRUCTURAL SAFETY (2019)

Add to Collection

Article Engineering, Civil

An efficient simulation algorithm for non-Gaussian stochastic processes

Xingliang Ma et al.

JOURNAL OF WIND ENGINEERING AND INDUSTRIAL AERODYNAMICS (2019)

Add to Collection

Article Engineering, Civil

Translation processes for wind pressures on low-rise buildings

H. Zhao et al.

JOURNAL OF WIND ENGINEERING AND INDUSTRIAL AERODYNAMICS (2019)

Add to Collection

Article Engineering, Civil

A semi-analytical formula for estimating peak wind load effects based on Hermite polynomial model

Guoqing Huang et al.

ENGINEERING STRUCTURES (2017)

Add to Collection

Article Engineering, Mechanical

Estimation of Peak Factor of Non-Gaussian Wind Pressures by Improved Moment-Based Hermite Model

Min Liu et al.

JOURNAL OF ENGINEERING MECHANICS (2017)

Add to Collection

Article Engineering, Industrial

Principal component analysis and polynomial chaos expansion for time-variant reliability problems

Lara Hawchar et al.

RELIABILITY ENGINEERING & SYSTEM SAFETY (2017)

Add to Collection

Article Engineering, Mechanical

Estimation of Peak Factor of Non-Gaussian Wind Pressures by Improved Moment-Based Hermite Model

Min Liu et al.

JOURNAL OF ENGINEERING MECHANICS (2017)

Add to Collection

Article Engineering, Civil

A model of probability density function of non-Gaussian wind pressure with multiple samples

Qingshan Yang et al.

JOURNAL OF WIND ENGINEERING AND INDUSTRIAL AERODYNAMICS (2015)

Add to Collection

Article Construction & Building Technology

Extreme Value Distribution and Peak Factor of Crosswind Response of Flexible Structures with Nonlinear Aeroelastic Effect

Xinzhong Chen

JOURNAL OF STRUCTURAL ENGINEERING (2014)

Add to Collection

Article Engineering, Civil

Probabilistic modeling of wind pressure on low-rise buildings

Luping Yang et al.

JOURNAL OF WIND ENGINEERING AND INDUSTRIAL AERODYNAMICS (2013)

Add to Collection

Article Engineering, Mechanical

Simulation of Non-Gaussian Stochastic Process with Target Power Spectral Density and Lower-Order Moments

Jinhua Li et al.

JOURNAL OF ENGINEERING MECHANICS-ASCE (2012)

Add to Collection

Article Engineering, Mechanical

Advances of the probability density evolution method for nonlinear stochastic systems

Jie Li et al.

PROBABILISTIC ENGINEERING MECHANICS (2012)

Add to Collection

Article Construction & Building Technology

Peak Factors for Non-Gaussian Load Effects Revisited

Dae Kun Kwon et al.

JOURNAL OF STRUCTURAL ENGINEERING (2011)

Add to Collection

Article Engineering, Mechanical

A simple and efficient methodology to approximate a general non-Gaussian stationary stochastic process by a translation process

M. D. Shields et al.

PROBABILISTIC ENGINEERING MECHANICS (2011)

Add to Collection

Article Engineering, Mechanical

Critical review and latest developments of a class of simulation algorithms for strongly non-Gaussian random fields

Paolo Bocchini et al.

PROBABILISTIC ENGINEERING MECHANICS (2008)

Add to Collection

Article Engineering, Mechanical

Spectral representation for a class of non-Gaussian processes

M Grigoriu

JOURNAL OF ENGINEERING MECHANICS (2004)

Add to Collection

Article Computer Science, Interdisciplinary Applications

Simulation of second-order processes using Karhunen-Loeve expansion

KK Phoon et al.

COMPUTERS & STRUCTURES (2002)

Add to Collection

Article Engineering, Multidisciplinary

Convergence study of the truncated Karhunen-Loeve expansion for simulation of stochastic processes

SP Huang et al.

INTERNATIONAL JOURNAL FOR NUMERICAL METHODS IN ENGINEERING (2001)

Add to Collection

© Peeref 2019-2024. All rights reserved.