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    A Data Driven Black Box Approach for the Inverse Quantification of Set-Theoretical Uncertainty 

    Source: ASCE-ASME J Risk and Uncert in Engrg Sys Part B Mech Engrg:;2024:;volume( 011 ):;issue: 003:;page 31201-1
    Author(s): Bogaerts, Lars; Faes, Matthias G.R.; Moens, David
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Inverse uncertainty quantification commonly uses the well established Bayesian framework. Recently, alternative interval methodologies have been introduced. However, in their current state of the art implementation, both ...
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    Probabilistic and Interval Analyses Contrasted in Impact Buckling of a Clamped Column 

    Source: Journal of Applied Mechanics:;2013:;volume( 080 ):;issue: 001:;page 11022
    Author(s): Elishakoff, Isaac; Verhaeghe, Wim; Moens, David
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: In this study we contrast two competing methodologies for the impact buckling of a column that is clamped at both ends. The initial imperfection is postulated to be coconfigurational with the fundamental mode shape of the ...
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    Monte Carlo Ray Tracing-Coupled Computational Fluid Dynamic Modeling and Experimental Testing of a 1-kW Solar Cavity Receiver Radiated via 7-kW HFSS 

    Source: Journal of Solar Energy Engineering:;2020:;volume( 142 ):;issue: 006
    Author(s): Ophoff, Cedric; Ozalp, Nesrin; Moens, David
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Current state-of-the-art development of concentrated solar power (CSP) applications targets cost-effective and highly efficient processes in order to establish commercialization of these technologies. The design of solar ...
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    Robust Design Optimization of Expensive Stochastic Simulators Under Lack-of-Knowledge 

    Source: ASCE-ASME J Risk and Uncert in Engrg Sys Part B Mech Engrg:;2023:;volume( 009 ):;issue: 002:;page 21205-1
    Author(s): van Mierlo, Conradus; Persoons, Augustin; Faes, Matthias G. R.; Moens, David
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Robust design optimization of stochastic black-box functions is a challenging task in engineering practice. Crashworthiness optimization qualifies as such problem especially with regards to the high computational costs. ...
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    Special Section: Nonprobabilistic and Hybrid Approaches for Uncertainty Quantification and Reliability Analysis 

    Source: ASCE-ASME J Risk and Uncert in Engrg Sys Part B Mech Engrg:;2021:;volume( 007 ):;issue: 002:;page 020301-1
    Author(s): Faes, Matthias G. R.; Moens, David; Beer, Michael; Zhang, Hao; Phoon, Kok-Kwang
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: With this special section issue, we hope to illustrate in which direction the research of nonprobabilistic research is moving. From the included papers, it is clear that nonprobabilistic and hybrid methods are highly ...
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