Results 231 to 240 of about 8,042 (262)
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Stochastic thermal buckling analysis of laminated plates using perturbation technique
Composite Structures, 2016Abstract Composites are known to display a considerable amount of scatter in their material properties due to large number of parameters involved with the manufacturing and fabrication processes. This paper is concerned with the effect of random system properties on critical thermal buckling temperature of composite laminated plates with temperature ...
Jinqiang Li, Xinpeng Tian, Zhijun Han
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The stochastic second-order perturbation technique in the finite difference method
Communications in Numerical Methods in Engineering, 2001AbstractThe main idea of the paper is to introduce the second‐order perturbation second probabilistic moment extension of the finite difference method (FDM). The approach can be successfully applied to all these engineering analyses where FDM modelling is still useful and some structural parameters are treated as random variables or fields.
Marcin Kaminski
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Journal of Vibration and Acoustics, Transactions of the ASME, 2013
To calculate the probability density function of the response of a random acoustic field, a change-of-variable perturbation stochastic finite element method (CVPSFEM), which integrates the perturbation stochastic finite element method (PSFEM) and the change-of-variable technique in a unified form, is proposed.
Baizhan Xia, Dejie Yu, Xia Baizhan
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To calculate the probability density function of the response of a random acoustic field, a change-of-variable perturbation stochastic finite element method (CVPSFEM), which integrates the perturbation stochastic finite element method (PSFEM) and the change-of-variable technique in a unified form, is proposed.
Baizhan Xia, Dejie Yu, Xia Baizhan
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Solar Energy, 2011
Abstract Due to low heat transfer capability, the thermal efficiency of solar collectors is very low and various techniques are implemented to increase the performance of solar air heaters. There is a need for optimization of design and operating parameters for maximizing the thermal gain from the solar air heating systems. In this paper a stochastic
Naveen Sharma, D Grover
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Abstract Due to low heat transfer capability, the thermal efficiency of solar collectors is very low and various techniques are implemented to increase the performance of solar air heaters. There is a need for optimization of design and operating parameters for maximizing the thermal gain from the solar air heating systems. In this paper a stochastic
Naveen Sharma, D Grover
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Archives of Civil and Mechanical Engineering, 2009
This paper addresses the important question in structural analysis how to efficiently model the eigenvibrations of the spatial structures with random physical and/or geometrical parameters. The entire computational methodology is based on the traditional Finite Element Method enriched with the stochastic perturbation technique in its generalized nth ...
M.M. Kamiński, J. Szafran
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This paper addresses the important question in structural analysis how to efficiently model the eigenvibrations of the spatial structures with random physical and/or geometrical parameters. The entire computational methodology is based on the traditional Finite Element Method enriched with the stochastic perturbation technique in its generalized nth ...
M.M. Kamiński, J. Szafran
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Computer Methods in Applied Mechanics and Engineering, 2019
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
F Wu, T Y Wang, Lingyun Yao
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zbMATH Open Web Interface contents unavailable due to conflicting licenses.
F Wu, T Y Wang, Lingyun Yao
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Uncertainty Analysis for Overhead Powerlines by the Generalized Stochastic Perturbation Technique
Journal of Aerospace Engineering, 2021AbstractThe main aim of this work is to investigate some design uncertainties on the static response of powerline cables.
Marcin Kamiński, Rafał Bredow
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A simulation technique for estimation in perturbed stochastic activity networks
SIMULATION, 1992We are concerned with what-if analysis in estimating the expected value and the distribution function of completion time in stochastic activity networks. Widely used Monte Carlo simulation models of stochastic networks are often subject to errors caused by the estitnated parameter(s) of underlying input distribution function.
Veena G. Adlakha, Hossein Arsham
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Monthly Weather Review, 2022
Abstract The ability of a stochastically perturbed parameterization (SPP) approach to represent uncertainties in the model component of the Canadian Global Ensemble Prediction System was demonstrated in Part I of this investigation. The goal of this second step in SPP evaluation is to determine whether the scheme represents a viable alternative to the ...
Ron McTaggart-Cowan +6 more
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Abstract The ability of a stochastically perturbed parameterization (SPP) approach to represent uncertainties in the model component of the Canadian Global Ensemble Prediction System was demonstrated in Part I of this investigation. The goal of this second step in SPP evaluation is to determine whether the scheme represents a viable alternative to the ...
Ron McTaggart-Cowan +6 more
openaire +1 more source

