1999
DOI: 10.1002/(sici)1099-0887(199902)15:2<113::aid-cnm228>3.0.co;2-9
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Natural convection inside two-dimensional cavities: the integral transform method

Abstract: The Integral Transform Method is employed in the hybrid numerical‐analytical solution of laminar natural convection inside rectangular enclosures. The hybrid nature of this approach allows for the establishment of benchmark results in the solution of non‐linear partial differential systems, including the coupled set of heat and fluid flow equations that govern the steady natural convection problem under consideration. Therefore, numerical results under user prescribed accuracy are obtained for different values… Show more

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Cited by 22 publications

(16 citation statements)
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“…An optimum grid resolution is the highest grid resolution evaluated at each Rayleigh number as mentioned in Table IV. In the successive Tables V-X we compare the present steady state solutions with benchmark solutions obtained by de Vahl Davis (Ra = 10 3 -10 6 ) (De Vahl Davis, 1983) and Le quere (Ra = 10 6 -10 8 ) (Le Quéré, 1991) and some well-established numerical results available in the literature (Wan et al, 2001;Leal et al, 1999;Dennis and Hudson, 1989;Tian and Ge, 2003;Kalita et al, 2001;Chen et al, 1992;Mayne et al, 2000;Yapici and Obut, 2015;Syrjälä, 1996;Hortmann et al, 1990;Kondo, 1994). The results obtained are in excellent agreement with these benchmark results.…”
Section: Natural Convection Flow In Enclosuressupporting
confidence: 76%
“…These numerical errors have essentially restricted the accuracy of implicit methods to at most second-order in time and have not been able to truly capture the transient behaviour of the incompressible flows unless a very small timestep is used. Unconventional numerical methods have been developed to avoid these numerical errors and achieve higher order accuracy in time, for example, the time-space method of Wakashima and Saitoh (2004), discrete singular convolution method for numerical simulation of convective heat transfer problems by Wan et al (2001) and integral transform technique by Silva et al (2011) and Leal et al (1999), Leal et al (2000). (Arpino et al, 2014), proposed AC-CBS algorithm based on primitive variable approach using third-order Backward difference formula for time derivative discretisation.…”
Section: Governing Equationsmentioning
confidence: 99%
See 1 more Smart Citation
Exaggerated anticipatory anxiety is common in social anxiety disorder (SAD). Neuroimaging studies have revealed altered neural activity in response to social stimuli in SAD, but fewer studies have examined neural activity during anticipation of feared social stimuli in SAD. The current study examined the time course and magnitude of activity in threat processing brain regions during speech anticipation in socially anxious individuals and healthy controls (HC). Method Participants (SAD n = 58; HC n = 16) underwent functional magnetic resonance imaging (fMRI) during which they completed a 90s control anticipation task and 90s speech anticipation task.
“…An optimum grid resolution is the highest grid resolution evaluated at each Rayleigh number as mentioned in Table IV. In the successive Tables V-X we compare the present steady state solutions with benchmark solutions obtained by de Vahl Davis (Ra = 10 3 -10 6 ) (De Vahl Davis, 1983) and Le quere (Ra = 10 6 -10 8 ) (Le Quéré, 1991) and some well-established numerical results available in the literature (Wan et al, 2001;Leal et al, 1999;Dennis and Hudson, 1989;Tian and Ge, 2003;Kalita et al, 2001;Chen et al, 1992;Mayne et al, 2000;Yapici and Obut, 2015;Syrjälä, 1996;Hortmann et al, 1990;Kondo, 1994). The results obtained are in excellent agreement with these benchmark results.…”
Section: Natural Convection Flow In Enclosuressupporting
confidence: 76%
“…These numerical errors have essentially restricted the accuracy of implicit methods to at most second-order in time and have not been able to truly capture the transient behaviour of the incompressible flows unless a very small timestep is used. Unconventional numerical methods have been developed to avoid these numerical errors and achieve higher order accuracy in time, for example, the time-space method of Wakashima and Saitoh (2004), discrete singular convolution method for numerical simulation of convective heat transfer problems by Wan et al (2001) and integral transform technique by Silva et al (2011) and Leal et al (1999), Leal et al (2000). (Arpino et al, 2014), proposed AC-CBS algorithm based on primitive variable approach using third-order Backward difference formula for time derivative discretisation.…”
Section: Governing Equationsmentioning
confidence: 99%
Exaggerated anticipatory anxiety is common in social anxiety disorder (SAD). Neuroimaging studies have revealed altered neural activity in response to social stimuli in SAD, but fewer studies have examined neural activity during anticipation of feared social stimuli in SAD. The current study examined the time course and magnitude of activity in threat processing brain regions during speech anticipation in socially anxious individuals and healthy controls (HC). Method Participants (SAD n = 58; HC n = 16) underwent functional magnetic resonance imaging (fMRI) during which they completed a 90s control anticipation task and 90s speech anticipation task.
“…and L is the enclosure height and length, while Th and Te are the hot and cold wall temperatures, respectively. compared against previously reported purely numerical solutions, as detailed in [35]. The agreement is indeed excellent, reconfirming some of the most recent and careful benchmarking efforts available in the literature, even for the slower converging Nusselt number expansions.…”
Section: Convection-diffusion:-navier-stokes Formulationsupporting
confidence: 76%
Exaggerated anticipatory anxiety is common in social anxiety disorder (SAD). Neuroimaging studies have revealed altered neural activity in response to social stimuli in SAD, but fewer studies have examined neural activity during anticipation of feared social stimuli in SAD. The current study examined the time course and magnitude of activity in threat processing brain regions during speech anticipation in socially anxious individuals and healthy controls (HC). Method Participants (SAD n = 58; HC n = 16) underwent functional magnetic resonance imaging (fMRI) during which they completed a 90s control anticipation task and 90s speech anticipation task.
“…The results obtained in the present work compares well with the benchmarks obtained with both transient and steady formulations. Relative differences against the benchmark results of Leal et al (1999) are evaluated to be approximately 0.3 per cent in the worst case, thus showing the adequacy of the methodology here proposed.…”
Section: Resultsmentioning
confidence: 78%
“…The initial and boundary conditions are chosen in accordance with the ones used in previous works (Leal et al , 1999; Leal et al , 2000). No-slip and impermeable wall conditions are imposed on all four boundaries of the cavity.…”
Section: Formulation and Solution Methodologymentioning
confidence: 99%
Exaggerated anticipatory anxiety is common in social anxiety disorder (SAD). Neuroimaging studies have revealed altered neural activity in response to social stimuli in SAD, but fewer studies have examined neural activity during anticipation of feared social stimuli in SAD. The current study examined the time course and magnitude of activity in threat processing brain regions during speech anticipation in socially anxious individuals and healthy controls (HC). Method Participants (SAD n = 58; HC n = 16) underwent functional magnetic resonance imaging (fMRI) during which they completed a 90s control anticipation task and 90s speech anticipation task.