3D real-time volumetric particle tracking velocimetry – A promising tool for studies of airflow around high-rise buildings

Zhao, Yu; Ma, Xiaojun; Zhang, Chengbin; Wang, Haoyu; Zhang, Yuanhui

doi:10.1016/j.buildenv.2020.106930

Cited by 13 publications

(16 citation statements)

References 31 publications

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“…Concordantly, three dimensional particle tracking velocimetry depends on a stereoscopic PTV system, which is used for velocity measurement. 3D PTV is also utilized for visualization of flow structures in three dimensional [ 184 ]. The system includes four cameras, like a tomographic PIV system.…”

Section: Methodsmentioning

confidence: 99%

See 1 more Smart Citation

Past and current components-based detailing of particle image velocimetry: A comprehensive review

Rohács¹,

Yasar²,

Kale³

et al. 2023

Heliyon

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Section: Methodsmentioning

confidence: 99%

“…Multi camera system is useful for high speed flows [ 185 ]. One of the main advantages of volumetric PTV system is to enable real time and three dimensional flow measurements [ 184 , 186 ]. Recent investigations about volumetric PTV are related to Ahmed body wake and robotic PTV [ 187 , 188 ].…”

Section: Methodsmentioning

confidence: 99%

Past and current components-based detailing of particle image velocimetry: A comprehensive review

Rohács¹,

Yasar²,

Kale³

et al. 2023

Heliyon

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“…On the other hand, in large volume measurements, the particle density is usually low, because particles are free to enter and exit the measurement volume. To capture enough particles, the measurement time can be elongated to several hours [3,4]. For such long measurement times, storage and computation would be costly.…”

Section: Introductionmentioning

confidence: 99%

“…For such long measurement times, storage and computation would be costly. To reduce the data flow rate in PTV, especially for longer measurement times, two kinds of method have been developed: (a) the application of field-programmable gate array (FPGA) cameras [3][4][5][6][7], and (b) image compression [8]. Compared with image compression, the on-board particle centroid extraction provided by FPGAs is more efficient and allows real-time measurement at up to 500 fps [3].…”

Section: Introductionmentioning

confidence: 99%

A GPU-accelerated particle-detection algorithm for real-time volumetric particle-tracking velocimetry under non-uniform illumination

Zhao

Zhang

et al. 2021

Meas. Sci. Technol.

Self Cite

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Real-time volumetric particle tracking velocimetry (VPTV) equipped with field-programmable gate array (FPGA) cameras has been used for open-space, low particle density, and large-scale airflow measurements with long measurement periods. However, the particle detection accuracy of FPGA cameras is inevitably hindered by non-uniform illumination, resulting in a reduction in the particle detection ratio and positional accuracy. In this article, we propose to use both synchronized FPGA and grayscale cameras in a VPTV system, where grayscale cameras utilize a new algorithm based on two-frame centroid and corner extraction (TFCCE) under non-uniform white-light illumination. To keep the frame rate of the FPGA cameras the same, the TFCCE algorithm was accelerated by a graphics processing unit (GPU). The simulation results showed that the 2D particle detection ratio of TFCCE was enhanced to approximately 80% with a positional accuracy of 0.57 pixels, compared to 30% and 0.94 pixels for the single-frame centroid extraction used in the FPGA. The GPU version of TFCCE was 15.09 times faster than the CPU version, resulting in a calculation time of 4.55 ms per image, compared to 68.70 ms when using the CPU. This system was also validated by the measurement of a turbulent jet flow in real-time at 120 fps. The experimental results correspond well with data published in the literature. Therefore, this new algorithm can improve VPTV systems in terms of particle detection ratio and positional accuracy in real time under conditions of non-uniform illumination.

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“…• Building operation and maintenance [21-28] • Architectural design optimization for sustainability [29-41]•Construction information management and process monitoring[42][43][44][45][46][47][48][49][50] …”

mentioning

confidence: 99%

Utility of BIM-CFD Integration in the Design and Performance Analysis for Buildings and Infrastructures of Architecture, Engineering and Construction Industry

Kang

Wang

et al. 2022

Buildings

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To scrutinize the current application of building information modelling (BIM) and computational fluid dynamics (CFD) integration in research as well as industrial fields, the present study conducted a holistic review including a bibliometric exploration for existing articles, specific content analysis in different sectors, and follow-up qualitative discussion for the potential of this integrated technology. The bibliometric exploration is focused on analyzing main journals, keywords, and chronological change in representative research content by selecting 115 relevant studies. In content analysis, the representative integrated BIM and CFD application cases are divided into three different sectors. The functionality, interoperability, and sustainability of such integration in architecture, engineering, and construction (AEC) projects are described in detail. Furthermore, the future research based on the applications of BIM and CFD integration is discussed. Specifically, the more advanced hazard analysis is proposed reflecting the strength of such an integration. Comprehensive information for the possible hazards in AEC projects is digitized and quantified to make a more sensitive hazard recognition tool which can formalize reduction strategies and measures of potential hazards. As a result, the present review study contributes to relevant research by identifying representative application parts and practical requirements for BIM and CFD integration in whole design aspects, reviewing the current research trends and future direction in detail, and analyzing the major issues, such as an interoperability in BIM-compatible CFD for sustainable built environments.

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3D real-time volumetric particle tracking velocimetry – A promising tool for studies of airflow around high-rise buildings

Cited by 13 publications

References 31 publications

Past and current components-based detailing of particle image velocimetry: A comprehensive review

Past and current components-based detailing of particle image velocimetry: A comprehensive review

A GPU-accelerated particle-detection algorithm for real-time volumetric particle-tracking velocimetry under non-uniform illumination

Utility of BIM-CFD Integration in the Design and Performance Analysis for Buildings and Infrastructures of Architecture, Engineering and Construction Industry

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