Results 41 to 50 of about 2,242 (145)
An Efficient Polynomial Chaos Method for Stiffness Analysis of Air Spring Considering Uncertainties
Traditional methods for stiffness analysis of the air spring are based on deterministic assumption that the parameters are fixed. However, uncertainties have widely existed, and the mechanic property of the air spring is very sensitive to these ...
Feng Kong, Penghao Si, Shengwen Yin
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Time-Dependent Reliability-Based Design Optimization Utilizing Nonintrusive Polynomial Chaos
Time-dependent reliability-based design optimization (RBDO) has been acknowledged as an advance optimization methodology since it accounts for time-varying stochastic nature of systems. This paper proposes a time-dependent RBDO method considering both of
Yao Wang, Shengkui Zeng, Jianbin Guo
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For the frequency response analysis of acoustic field with random and interval parameters, a nonintrusive uncertain analysis method named Polynomial Chaos Response Surface (PCRS) method is proposed.
Mingjie Wang, Zhimin Wan, Qibai Huang
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A Class of Quadratic Polynomial Chaotic Maps and Their Fixed Points Analysis
When chaotic systems are used in different practical applications, such as chaotic secure communication and chaotic pseudorandom sequence generators, a large number of chaotic systems are strongly required.
Chuanfu Wang, Qun Ding
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Multiscale Uncertainty Quantification with Arbitrary Polynomial Chaos
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Nick Pepper +2 more
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Polynomials and General Degree-Based Topological Indices of Generalized Sierpinski Networks
Sierpinski networks are networks of fractal nature having several applications in computer science, music, chemistry, and mathematics. These networks are commonly used in chaos, fractals, recursive sequences, and complex systems.
Chengmei Fan +4 more
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Sensitivity Analysis of Metamaterial-Inspired SIW Focusing on Resonator Misalignment
The performance of the metamaterial-inspired substrate-integrated waveguide is discussed in this work, concerning a resonator misalignment potentially caused by the fabrication process.
Stamatios A. Amanatiadis +5 more
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Stochastic tsunami inundation flow simulation via polynomial chaos approach
In this research, 2D shallow water equations are expanded by an intrusive polynomial chaos approach for efficient uncertainty quantification in tsunami inundation flows.
Wataru YAMAZAKI +4 more
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Uncertainty Quantification of GEKO Model Coefficients on Compressible Flows
In the present work, supersonic flows over an axisymmetric base and a 24-deg compression ramp are investigated using the generalized k-ω (GEKO) model implemented in the commercial software, ANSYS FLUENT.
Yeong-Ki Jung +2 more
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Cable bundles often exhibit random parameter variations due to uncertain or uncontrollable physical properties and wire positioning. Efficient tools, based on the so-called polynomial chaos, exist to rapidly assess the impact of such variations on the ...
P. Manfredi, F. Canavero
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