Results 11 to 20 of about 134,499 (265)
Atmosphere, 2023 Outdoor public spaces that provide a comfortable microclimate significantly contribute to urban livability. However, more elaborate investigations are needed to enhance the research-based design of landscape spatial form for optimal thermal comfort ...
Chundong Ma +3 more
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Mathematical and Computational Applications, 2022 We present a new algorithm to design lightweight cellular materials with required properties in a multi-physics context. In particular, we focus on a thermo-elastic setting by promoting the design of unit cells characterized both by an isotropic and an ...
Matteo Gavazzoni +3 more
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CONTRIBUTION OF THERMAL-HYDRAULICS SIMULATION TO CRITICALITY ANALYSIS OF A DEBRIS BED NUMERICAL MOCK-UP [PDF]
EPJ Web of Conferences, 2021 In this work, we evaluate the impact of simulating the thermal-hydraulics feedback in criticality risk assessment in a benchmark configuration corresponding to a simplified debris bed.
Boulard P. +3 more
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Detrainment in deep convection
Geophysical Research Letters, 2012 This study explores the mechanisms that determine detrainment in deep cumulus convection. A set of 90 high‐resolution Large Eddy Simulations is used to systematically explore the sensitivity of continental deep convection to the relative humidity and ...
S. J. Böing +3 more
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Multi-Physical Modeling for IAQ Monitoring [PDF]
, 2012 Chapter 12 of the ...
BALOCCO, CARLA, G. Petrone, G. Cammarata
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DATA-INFORMED EMULATORS FOR MULTI-PHYSICS SIMULATIONS [PDF]
Journal of Machine Learning for Modeling and Computing, 2021 Machine learning techniques are powerful tools for construction of emulators for complex systems. We explore different machine learning methods and conceptual methodologies, ranging from functional approximations to dynamical approximations, to build such emulators for coupled thermal, hydrological, mechanical and chemical processes that occur near an ...
Lu, Hannah +4 more
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Multi-physics Inversion for Reservoir Monitoring
78th EAGE Conference and Exhibition 2016, 2016 Summary In this paper we consider the use of, time-domain electromagnetic, DC electrical and injection-production data in isolation and in combinations in order to investigate their potential for monitoring spatial fluid saturation changes within reservoirs undergoing enhanced oil recovery.
Hoversten, GM +3 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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Parallel Performance in Multi-physics Simulation [PDF]
, 2002 A comprehensive simulation of solidification/melting processes requires the simultaneous representation of free surface fluid flow, heat transfer, phase change, non-linear solid mechanics and, possibly, electromagnetics together with their interactions in what is now referred to as 'multi-physics' simulation.
Kevin McManus +4 more
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Optimization Design of Rib Width and Performance Analysis of Solid Oxide Electrolysis Cell
Energies, 2020 Structure design is of great value for the performance improvement of solid oxide electrolysis cells (SOECs) to diminish the gap between scientific research and industrial application. A comprehensive multi-physics coupled model is constructed to conduct
Meiting Guo +4 more
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