Large eddy simulation of flow past stationary and oscillating square cylinders

Chen, Yongxin; Djidjeli, K.; Xie, Zheng-Tong

doi:10.1016/j.jfluidstructs.2020.103107

Cited by 30 publications

(16 citation statements)

References 41 publications

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“…Bruno. et al, 2014;Chen et al, 2019), the flow separation at the leading corners will not reattached along the building surface, and thus is engulfed in its own body-induced turbulence.…”

Section: Wind Loading On An Isolated Tall Buildingmentioning

confidence: 99%

Overview of large-eddy simulation for wind loading on slender structures

Daniels¹,

Xie²

2022

Proceedings of the Institution of Civil Engineers - Engineering

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Understanding and predicting the effects of wind loading on a structure is necessary for a safe, effective, and economical engineering design. Wind tunnel techniques are expensive and often provide data that is not sufficiently detailed for the structural engineer. With increasing advances in computational capabilities, it has recently become feasible to investigate these flows using numerical techniques. Of these, one of the most effective approaches to simulate the turbulence observed in natural wind is Large-Eddy Simulation (LES). The application of LES to analyse wind loading, and aeroelastic effects on structures are only a recent venture in the field. This paper reviews the progress made over the last few decades for the analysis of wind flow around slender structures, and the more recent analysis incorporating the effects of freestream turbulence. Firstly, a review of the literature for generating freestream turbulence is carried out, and are assessed based on their flaws and strengths. A number of these are subsequently used for the analysis of surface pressures on an isolated tall model building. Subsequently, a review is made into wind tunnel analysis and LES for the aeroelastic analysis of bridge sections. The recent advances in the understanding of turbulence effects on the aeroestatic responses are summarised. The future of LES and its relationship wind tunnel analysis for wind loading analysis are discussed.

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“…Bruno. et al, 2014;Chen et al, 2019), the flow separation at the leading corners will not reattached along the building surface, and thus is engulfed in its own body-induced turbulence.…”

Section: Wind Loading On An Isolated Tall Buildingmentioning

confidence: 99%

Overview of large-eddy simulation for wind loading on slender structures

Daniels¹,

Xie²

2022

Proceedings of the Institution of Civil Engineers - Engineering

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“…The distributions of C D (t) and C p (t) are clearly bimodal, whereas the distributions of C L (t) and C M (t) are unimodal. Although a few studies in the literature reported the bimodal distribution of wind pressure (Hui et al, 2013;Chen et al, 2020), discussion on its impact modelling of on wind loading and pressure is limited. The nature of the bimodal distribution will depend on the proportion of time spent in each flow regime, which is difficult to predict given the unsteady nature of the phenomenon.…”

Section: Switching Flow At α = 25°fmentioning

confidence: 99%

Wind tunnel measurements of the aerodynamic characteristics of a 3:2 rectangular cylinder including non-Gaussian and non-stationary features

Nguyen

Nguyen²,

Owen

et al. 2022

Journal of Wind Engineering and Industrial Aerodynamics

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“…Square cylinders are widely used in the engineering field, and they are common structures in fishways. A square cylinder can be regarded as a bluff body structure with a rectangular cross section, such as cylinders, beams, and fences in the building structure (Chen, 2019;Shui et al, 2021;Yang et al, 2021). In fluid mechanics, the flow around a square cylinder is a classic problem of flow around a bluff body, which contains complex phenomena such as impact, separation, reattachment, orbiting, and vortex often encountered in various fields (Lahaye et al, 2014;Vikram et al, 2020).…”

Section: Introductionmentioning

confidence: 99%

Numerical Simulation and Deep Neural Network Revealed Drag Reduction of Microstructured Three-Dimensional Square Cylinders at High Reynolds Numbers

Wang

2022

Front. Bioeng. Biotechnol.

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Square cylinders are widely used in various fields. For example, they are common structures in fishways. The flow around square cylinders has been a common problem in various fields. However, reducing the flow drag of the square cylinder is a problem that remains unexplored. Many previous studies have reported the drag reduction of 2D square cylinders, which failed to reflect the drag of real structures. Also, some studies focus on the drag force of the inner wall of the square cylinder modified by the microstructure. Achieving drag reduction by microstructuring the surface of the 3D square cylinder is a challenging problem. This study applied a 3D numerical simulation and deep neural network to study the drag reduction performance of the square cylinder under different patch sizes. We studied the drag reduction performance of protrusion and pit-patched square cylinders and tried to find the rule between drag reduction performance and patch configuration. The results show that the square cylinder has better drag reduction performance in some cases. However, its drag reduction performance is greatly affected by the protrusion structure. Also, too large protrusions will increase the drag force of the structure. When the surface protrusion accounts for 10% of the total area of the square cylinder, the drag reduction performance is the best (22.1%). The pit patch structure demonstrated an insignificant drag reduction performance and even increased the drag in most cases. The DNN prediction model demonstrated the robustness of the numerical simulation data.

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Large eddy simulation of flow past stationary and oscillating square cylinders

Cited by 30 publications

References 41 publications

Overview of large-eddy simulation for wind loading on slender structures

Overview of large-eddy simulation for wind loading on slender structures

Wind tunnel measurements of the aerodynamic characteristics of a 3:2 rectangular cylinder including non-Gaussian and non-stationary features

Numerical Simulation and Deep Neural Network Revealed Drag Reduction of Microstructured Three-Dimensional Square Cylinders at High Reynolds Numbers

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