2018
DOI: 10.1016/j.jweia.2018.04.004
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Optimizing turbulent inflow conditions for large-eddy simulations of the atmospheric boundary layer

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Cited by 50 publications
(16 citation statements)
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“…The base pressure coefficient 𝐶 is calculated as indicated in eqn (6). The integral of the pressures is done over the complete leeward face of the square cylinder.…”
Section: Force Coefficients Strouhal Number Pressure Coefficient and Base Pressure Coefficientmentioning
confidence: 99%
See 1 more Smart Citation
“…The base pressure coefficient 𝐶 is calculated as indicated in eqn (6). The integral of the pressures is done over the complete leeward face of the square cylinder.…”
Section: Force Coefficients Strouhal Number Pressure Coefficient and Base Pressure Coefficientmentioning
confidence: 99%
“…According to Patruno and Ricci [5], there are two different methodologies to tackle this problem by adopting scale-resolving turbulence models such as Large Eddy Simulation (LES): one based on extracting the turbulent fluctuations from an auxiliary simulation or the recycling of the velocity in a plane within the simulation itself; and the generation of synthetic random fields. Both methods are complex and computational expensive, requiring a careful preparation [6], [7]. On the other hand, the use of URANS models to address free stream turbulence has been mainly confined to urban applications [8]- [10] due to its sufficient reliability for the intended applications and the much higher computational cost of scale-resolving alternative approaches.…”
Section: Introductionmentioning
confidence: 99%
“…The key problem is that realistic enough fluctuations must be prescribed at the inlet plane to mimic the incoming physical turbulence. Several approaches for that purpose have been proposed (Sagaut, 2005;Vasaturo et al, 2018;Lamberti et al, 2018;Dhamankar et al, 2018;Luo et al, 2018;Wu, 2016), among which i) the use of precursor simulations, ii) the use of a recycling technique, iii) the use of adaptive forcing terms and iv) the generation of a synthetic fluctuating field. These approaches have been observed to yield satisfactory results in simple configurations, but the most versatile and general one is the last one.…”
Section: Introductionmentioning
confidence: 99%
“…Numerous approaches have been used to generate the turbulent inflow conditions to give realistic wind flow characteristics for ABL flows, for example Blocken et al (2007), Parente et al (2011), Zheng et al (2012) and Balogh et al (2012). Similarly, LES approaches using a synthetic turbulence approach to generate the inflow turbulence for ABL's have been applied to computational wind engineering investigations in Bazdidi-Tehrani et al (2016), Patruno and Ricci (2017), Lamberti et al (2018) and Yan and Li (2015). In particular Patruno and Ricci (2017) illustrates an approach that provides good control and accuracy of turbulent integral length scales and time spectra, with encouraging results for the turbulence intensities and length scales typical of ABL flows.…”
Section: Introductionmentioning
confidence: 99%
“…In particular Patruno and Ricci (2017) illustrates an approach that provides good control and accuracy of turbulent integral length scales and time spectra, with encouraging results for the turbulence intensities and length scales typical of ABL flows. Lamberti et al (2018) illustrate how an automated approach is used to modify the input parameters for the turbulence generator to maintain the desired turbulence statistics at a downstream location, in combination with a divergence free approach from Kim et al (2013).…”
Section: Introductionmentioning
confidence: 99%