Determination of Pressure Coefficient for a High-Rise Building with Atypical Ground Plan

Medvecká, Soňa; Ivánková, Oľga; Macák, Marek; Michalcová, Vladimíra

doi:10.2478/cee-2018-0018

Cited by 9 publications

(8 citation statements)

References 11 publications

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“…This case study aims to evaluate the capability of the platform to generate the model and accurately predict the C p values on the surfaces of a high-rise building with an irregular (S-shape) floor-plan. The model and the experimental results are taken from Medvecká et al (2018), see Figure 13. The The wind profile employed in the experiment corresponds to a terrain between categories III and IV.…”

Section: High-rise Building With S-shape Floor-planmentioning

confidence: 99%

A cloud-based platform to predict wind pressure coefficients on buildings

Bre

Giménez

2022

Build. Simul.

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Natural ventilation (NV) is a key passive strategy to design energy-efficient buildings and improve indoor air quality. Therefore, accurate modeling of the NV effects is a basic requirement to include this technique during the building design process. However, there is an important lack of wind pressure coefficients ( C p ) data, essential input parameters for NV models. Besides this, there are no simple but still reliable tools to predict C p data on buildings with arbitrary shapes and surrounding conditions, which means a significant limitation to NV modeling in real applications. For this reason, the present contribution proposes a novel cloud-based platform to predict wind pressure coefficients on buildings. The platform comprises a set of tools for performing fully unattended computational fluid dynamics (CFD) simulations of the atmospheric boundary layer and getting reliable C p data for actual scenarios. CFD-expert decisions throughout the entire workflow are implemented to automatize the generation of the computational domain, the meshing procedure, the solution stage, and the post-processing of the results. To evaluate the performance of the platform, an exhaustive validation against wind tunnel experimental data is carried out for a wide range of case studies. These include buildings with openings, balconies, irregular floor-plans, and surrounding urban environments. The C p results are in close agreement with experimental data, reducing 60%–77% the prediction error on the openings regarding the EnergyPlus software. The platform introduced shows being a reliable and practical C p data source for NV modeling in real building design scenarios. Electronic Supplementary Material (ESM) The appendix is available in the online version of this article at 10.1007/s12273-021-0881-9.

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Section: High-rise Building With S-shape Floor-planmentioning

confidence: 99%

A cloud-based platform to predict wind pressure coefficients on buildings

Bre

Giménez

2022

Build. Simul.

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“…The first model was a circular cylinder with a diameter of 110 mm and a height of 300 mm. Second, an atypical model was designed by combining two semicircles and a rectangle with a floor plan in the shape of the letter S. Detailed experimental and numerical study of the stand-alone S shape building was published by Medvecká et al [24]. The total width and length were 150 mm, height 300 mm.…”

Section: Geometry Arrangements Of Models and Location Of The Pressure Tapsmentioning

confidence: 99%

Impact of Turbulence Models of Wind Pressure on two Buildings with Atypical Cross-Sections

Franek

Macák

Hubova

et al. 2021

Civil and Environmental Engineering

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The article deals with the numerical analysis of the wind pressure distribution on a group of two high-rise buildings of different shape for different wind directions. The first building has the shape of a circular cylinder and the second was created by a combination of semicircles and a longitudinal member. The floor plan of the second building was similar to the letter S. The simulations were realized as 3D steady RANS. CFD results were compared with experimental measurements in the wind tunnel of the Slovak University of Technology in Bratislava. The results were processed using statistical methods such as correlation coefficient, fractional bias and fraction of data within a factor of 1.3, which determined the most suitable CFD model. The purpose of the present article was to verify the distribution of the external pressure coefficient on scale models at a scale of 1:350, which are located in the Atmospheric Surface Layer (ASL). In numerical modeling, the most important thing was to ensure similarity with the flow in the experimental Atmospheric Boundary Layer (ABL) and with the flow around the models. SST k–ω was evaluated as the most suitable turbulent model for the given type of problem. Turbulent models had a decisive influence on the overall distribution of external wind pressures on objects. The results showed that the most suitable orientation of the objects in terms of the external wind pressure coefficient is 0°, when the cylinder produced a shielding effect, with min mean cpe = −0.786. The most unfavorable wind effects were shown by the wind direction of 90° and 135° with the value min mean cpe = −1.361.

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“…In 2006, Mashhad urban design plan developed the underground spaces around the Holy Shrine with 145 H in order to achieve two purposes: (1) Improving mixed-used land-use and urban spaces, (2) decreasing the problems related to overcrowding and also increasing "private projects" [3]. In accordance with the principle and the model of the mentioned scheme, the urban spaces of RahBagh, subway stations, and the Holy Shrine have been considered as the underground pioneer project.…”

Section: Salam Rahbaghmentioning

confidence: 99%

Climatic Design Principles of Underground Spaces Using CFD Simulation

Darbani

Parapari

Mirheydar

et al. 2020

Civil and Environmental Engineering

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Iranians used wind catchers to achieve harmony between a structure and the environment and guarantee the environmental comfort of the indoor areas. Wind catchers were the symbols of Persian architecture and with introduction of modern technologies, these traditional elements became obsolete. Rapid population and traffic lead to use underground spaces in cities. This paper proves the ability of wind-catchers to provide natural ventilation in underground spaces based on climatic parameters. Simulation was conducted in complete computational fluid dynamics package to simulate wind in underground space. Results demonstrate that in specific climate condition, wind-catchers could provide natural ventilation for underground space.

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Determination of Pressure Coefficient for a High-Rise Building with Atypical Ground Plan

Cited by 9 publications

References 11 publications

A cloud-based platform to predict wind pressure coefficients on buildings

A cloud-based platform to predict wind pressure coefficients on buildings

Impact of Turbulence Models of Wind Pressure on two Buildings with Atypical Cross-Sections

Climatic Design Principles of Underground Spaces Using CFD Simulation

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