scispace - formally typeset
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
More filters
Journal ArticleDOI

Critical evaluation of an integral model for the pyrolysis of charring materials

TL;DR: In this paper, the integral model for the pyrolysis of charring materials of Moghtaderi et al., extended with a cooling stage is considered, and an automatic optimisation technique is described to obtain material fire properties.
Journal ArticleDOI

On the extrapolation of CFD results for smoke and heat control in reduced-scale set-ups to full scale: atrium configuration

TL;DR: In this paper, a series of CFD simulations of fire-induced flows in an atrium configuration is used to confirm that the scaling of results is justified as long as the flows in both the reduced-scale and full-scale configurations are sufficiently turbulent.
Journal ArticleDOI

Application of FDS to Under-Ventilated Enclosure Fires with External Flaming

TL;DR: In this article, numerical simulations are conducted to investigate the accuracy of the fire dynamics simulator (FDS 6.0.1) for under-ventilated enclosure fires with external flaming.
Journal ArticleDOI

Numerical study of smoke extraction for adhered spill plumes in atria: Impact of extraction rate and geometrical parameters

TL;DR: In this paper, an extensive numerical study based on computational fluid dynamics (CFD) is presented in which these parameters are varied The presence of a downstand or balcony is not covered in the study at hand from the results, a correlation is presented for adhered spill plumes in atria without downstand, relating the smoke extraction rate to the smoke free height in the atrium.
Journal ArticleDOI

Reasoning on multi-sensor geographic smoke spread data for fire development and risk analysis

TL;DR: In this paper, the authors present the general architecture of a multi-sensor geographic information system which allows for the effective use of sensor data and geographic information in fire incident management and fire development analysis.