Results 11 to 20 of about 3,846 (183)
Topology optimization under uncertainty via non-intrusive polynomial chaos expansion
Computer Methods in Applied Mechanics and Engineering, 2017 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Keshavarzzadeh, Vahid +2 more
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Journal of Computational Science, 2021 Abstract Numerical solutions of wave problems are often influenced by uncertainties generated by a lack of knowledge of the input values related to the domain data and/or boundary conditions in the mathematical equations used in the modeling. Conventional methods for uncertainty quantification in modeling waves constitute severe challenges due to the
Mocayd, Nabil El +2 more
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Toward Uncertainty-Aware Hemolysis Modeling: A Universal Approach to Address Experimental Variance. [PDF]
Int J Numer Method Biomed EngABSTRACT The purpose of this study is to address the lack of uncertainty quantification in numerical hemolysis models, which are critical for medical device evaluations. Specifically, we aim to develop a probabilistic hemolysis model, which incorporates experimental variability using the Markov Chain Monte Carlo (MCMC) method to enhance predictive ...
Blum C, Steinseifer U, Neidlin M.
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An Efficient Polynomial Chaos Expansion Method for Uncertainty Quantification in Dynamic Systems
Applied Mechanics, 2021 Uncertainty is a common feature in first-principles models that are widely used in various engineering problems. Uncertainty quantification (UQ) has become an essential procedure to improve the accuracy and reliability of model predictions.
Jeongeun Son, Yuncheng Du
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IEEE Access, 2020 A two-phase Monte Carlo Simulation/Non-intrusive Polynomial Chaos (MCS/NIPC) method for quantification of margins and mixed uncertainties (aleatory and epistemic uncertainties) is proposed in this paper for the flutter speed boundary analysis.
Zhengwen Hu, Baoqiang Zhang, Jing Yang
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Continuum damage mechanics based probabilistic fatigue life prediction for metallic material
Journal of Materials Research and Technology, 2022 Based on continuum damage mechanics, a probabilistic method of predicting high-cycle fatigue life for metallic material is proposed. First, macro-meso two-scale stress–strain equations are established by combining Eshelby-Kroner localization law and ...
Xiaoran Liu +4 more
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UNCERTAINTY QUANTIFICATION IN STEADY STATE SIMULATIONS OF A MOLTEN SALT SYSTEM USING POLYNOMIAL CHAOS EXPANSION ANALYSIS [PDF]
EPJ Web of Conferences, 2021 Uncertainty Quantification (UQ) of numerical simulations is highly relevant in the study and design of complex systems. Among the various approaches available, Polynomial Chaos Expansion (PCE) analysis has recently attracted great interest. It belongs to
Santanoceto Mario +4 more
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Investigation on Aerodynamic Robustness of Compressor Blade with Asymmetric Leading Edge [PDF]
Journal of Applied Fluid Mechanics, 2023 To improve the aerodynamic characteristics of compressor blades, a novel asymmetric leading edge (ASYLE) has been introduced and shown to offer superior performance. However, the aerodynamic robustness of such specially designed leading edge (LE) remains
G. Yang, L. Gao, C. Ma, H. Wang, N. Ge
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Pygpc: A sensitivity and uncertainty analysis toolbox for Python
SoftwareX, 2020 We present a novel Python package for the uncertainty and sensitivity analysis of computational models. The mathematical background is based on the non-intrusive generalized polynomial chaos method allowing one to treat the investigated models as black ...
Konstantin Weise +4 more
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Aerospace, 2023 Landing of supersonic transport (SST) suffers from a large uncertainty due to its highly sensitive aerodynamic properties in the subsonic domain, as well as the wind gusts around runways.
Yuji Takubo, Masahiro Kanazaki
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