Results 41 to 50 of about 31,846 (223)
Seismic fragility analysis using stochastic polynomial chaos expansions
Probabilistic Engineering Mechanics, 2023 Within the performance-based earthquake engineering (PBEE) framework, the fragility model plays a pivotal role. Such a model represents the probability that the engineering demand parameter (EDP) exceeds a certain safety threshold given a set of selected intensity measures (IMs) that characterize the earthquake load.
Zhu X., Broccardo M., Sudret B.
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Machines, 2023 This paper presents an efficient method for obtaining the dynamic mesh stiffness and dynamic response of a helical gear pair. Unlike the traditional dynamic model that utilizes a time-dependent sequence, the mesh stiffness using the presented method is ...
Hongxu Tian +3 more
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Geo-acoustic inversion using polynomial chaos expansion [PDF]
Acta Physica Sinica, 2021 In order to improve the computational efficiency of algorithms while exploring the method to overcome the ambiguity problems in underwater geo-acoustic inversion, we use the data of transmission losses at the broadband sound frequencies and multiple propagating distances with the matrix of polynomial chaos expansion coefficients of transmission losses ...
Feng-Hua Li, Han-Zhuo Wang
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Vibration Analysis of Driving-Point System with Uncertainties Using Polynomial Chaos Expansion
Shock and Vibration, 2020 A vibration transfer analysis method based on polynomial chaos expansion (PCE) is proposed in this study and is used to analyze the stochastic dynamic compliance of uncertain systems with the Gaussian distribution.
Bin Xiao +5 more
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Water, 2021 Computational modeling plays a significant role in the design of rockfill dams. Various constitutive soil parameters are used to design such models, which often involve high uncertainties due to the complex structure of rockfill dams comprising various ...
Gullnaz Shahzadi, A. Soulaïmani
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Stochastic Modeling of Electrical Field in Potato Tuber using Polynomial Chaos Expansion [PDF]
ITM Web of Conferences, 2019 The paper deals with numerical modeling of objects with a natural origin. The stochastic approach based on description using random variables allows processing such challenges.
Sawicki Bartosz, Krupa Artur
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A Comparison of Surrogate Modeling Techniques for Global Sensitivity Analysis in Hybrid Simulation
Machine Learning and Knowledge Extraction, 2021 Hybrid simulation is a method used to investigate the dynamic response of a system subjected to a realistic loading scenario. The system under consideration is divided into multiple individual substructures, out of which one or more are tested physically,
Nikolaos Tsokanas +2 more
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Polynomial chaos expansion for uncertainty quantification of dam engineering problems
Engineering structures, 2020 Uncertainty quantification is an inseparable part of risk assessment in dam engineering. Many probabilistic methods have been developed to deal with random nature of the input parameters or the system itself. In this paper, the polynomial chaos expansion
M. A. Hariri-Ardebili, B. Sudret
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A conditional stochastic projection method applied to a parametric vibrations problem
Journal of Civil Engineering and Management, 2014 Parametric vibrations can be observed in cable-stayed bridges due to periodic excitations caused by a deck or a pylon. The vibrations are described by an ordinary differential equation with periodic coefficients.
Wlodzimierz Brzakala, Aneta Herbut
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Algorithms, 2020 Geomechanical modelling of the processes associated to the exploitation of subsurface resources, such as land subsidence or triggered/induced seismicity, is a common practice of major interest.
Claudia Zoccarato +3 more
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