B
Bart Merci
Researcher at Ghent University
Publications - 287
Citations - 4012
Bart Merci is an academic researcher from Ghent University. The author has contributed to research in topics: Turbulence & Computational fluid dynamics. The author has an hindex of 29, co-authored 278 publications receiving 3360 citations. Previous affiliations of Bart Merci include Katholieke Universiteit Leuven.
Papers
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Background and limitations of the Eurocode parametric fire curves, including the fire decay phase
TL;DR: In this paper, the authors investigated the background and assumptions behind the definition of the Eurocode Parametric Fire Curves (EPFC), the most adopted methodology to replicate natural fire exposures on structural elements.
Book ChapterDOI
Treatment of All Speed Flows and High Aspect Ratios in CFD Applications
TL;DR: In this article, an AUSM-based discretization method, using an explicit third-order discretisation for the convective part, a line-implicit central Discretization for the acoustic part and for the diffusive part, has been developed for incompressible and low speed compressible Navier-Stokes equations.
Journal ArticleDOI
Optimization and determination of the parameters for a PID based ventilation system for smoke control in tunnel fires: Comparative study between a genetic algorithm and an analytical trial-and-error method
Yao Hong,Ceji Fu,Bart Merci +2 more
TL;DR: In this paper , a PID-based longitudinal ventilation system for smoke control in tunnel fires is numerically illustrated to yield excellent performance, however, the three parameters in the PID algorithm significantly affect the performance.
Book ChapterDOI
A finite volume method for viscous compressible flows in low and high speed applications
TL;DR: In this article, an AUSM-based discretization method, using an explicit third-order discretisation for the convective part, a line-implicit central Discretization for the acoustic part and for the diffusive part, has been developed for incompressible and low speed compressible flow.
Data assimilation based numerical simulations to assist real-time smoke control management in large spaces
TL;DR: In this paper, the authors demonstrate the concept of numerical simulations for real-time "Numerical Fire Forecast" (NFF), applied to smoke control management in large spaces, based on a series of full scale experiments conducted using the Japanese Building Research Institute (BRI) fire test facility.