2017
DOI: 10.1007/s10546-017-0233-6
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Large-Eddy Simulation of the Gust Index in an Urban Area Using the Lattice Boltzmann Method

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Cited by 62 publications
(24 citation statements)
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“…Through using a massively parallelized supercomputer, the authors simulated the detailed wind field at 1-m resolution over individual buildings in an area of approximately 10 km × 10 km in the city of Tokyo, Japan. Ahmad et al (2017) and Inagaki et al (2017) used the same code to perform simulations of the spatial development of a neutral boundary layer over an actual urban geometry near Tokyo with 2-m resolution in a domain of 19.2 × 4.8 × 1.0 km 3 . The latter simulation allowed the authors to conduct simultaneous analysis of the aerodynamic properties both of boundary-layer-scale eddies and of gusty motions in street canyons.…”
Section: Introductionmentioning
confidence: 99%
“…Through using a massively parallelized supercomputer, the authors simulated the detailed wind field at 1-m resolution over individual buildings in an area of approximately 10 km × 10 km in the city of Tokyo, Japan. Ahmad et al (2017) and Inagaki et al (2017) used the same code to perform simulations of the spatial development of a neutral boundary layer over an actual urban geometry near Tokyo with 2-m resolution in a domain of 19.2 × 4.8 × 1.0 km 3 . The latter simulation allowed the authors to conduct simultaneous analysis of the aerodynamic properties both of boundary-layer-scale eddies and of gusty motions in street canyons.…”
Section: Introductionmentioning
confidence: 99%
“…The idea for this normalization was to use the WRF outputs as a reference to obtain quantitative values for wind speeds within urban canopy, as described in Section 3.2. Ahmad et al (2017) demonstrated the usefulness of this normalization to assess gust intensities within urban canopies at different locations.…”
Section: Meteorological Model Settingsmentioning
confidence: 99%
“…Ten years later, this approach is receiving more and more interest because of its efficiency, although being still an emergent method. Contemporary studies especially address its accuracy and computational performance when implemented on GPUs (Obrecht et al, 2015;King et al, 2017), take advantage of this massively parallelizable method to discuss the link between urban morphology and pedestrian comfort (Ahmad et al, 2017;, or to quantify uncertainties or assimilate data for pollutant dispersion (Margheri and Sagaut, 2016;Mons et al, 2017).…”
Section: A C C E P T E D Accepted Manuscriptmentioning
confidence: 99%