Modelling of Wind Pressure Coefficients on C-Shaped Building Models

Mallick, Monalisa; Mohanta, Abinash; Kumar, Awadhesh; Raj, Vivek

doi:10.1155/2018/6524945

Cited by 17 publications

(10 citation statements)

References 23 publications

(24 reference statements)

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“…Similar pressure coefficient (C p ) is observed in the windward faces for the levels of height h/6 and h/2, whereas a mild deviation is observed leeward faces for the levels h/6 and h/2 respectively. On the contrary, for the top height 4.15h/5 experiences a huge negative pressure coefficient (C p ) for the faces G and H. Table 6 shows the error analysis for R 2 Previous researcher [27] have carried out error analysis by comparing a wind tunnel and CFD results for the building of C-plan shape building and rectangular building with an opening. Table 6 displays the error analysis for the present study using R 2 , ME, RMSE and MAPE.…”

Section: Angle Of Incidence -90˚mentioning

confidence: 99%

Investigations of Exterior Wind Flow and Aerodynamic Coefficient around Y-Plan Shape Tall Building

Vigneshwaran¹,

Prabavathy²

2022

Teknik Dergi

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In recent years, the construction of skyscrapers is emerging in many countries and the study on the behavior of wind around the building receives an additional interest among structural engineers and architects. Mostly, tall skyscrapers are planned in the shape of 'Y' in order to have a maximum exterior view and to support the central core of the structure. In the current scenario, it is important to study the actual wind load for irregular plan shape building. This paper presents the numerical wind flow simulation around 'Y' plan shape tall building using ANSYS Fluent software and validation is done using wind tunnel testing. The building model and wind velocity are scaled to the ratio 1:300 and 1:5 respectively. A wind velocity of 10 m/s is applied both for wind tunnel testing and for the numerical simulation. Error analysis is carried out in order to check the accuracy of the results obtained between wind tunnel and CFD. From the test results the mean C p is investigated for various faces of the building for the wind angle 0˚, 45˚ and 90˚ from both using CFD and wind tunnel. The investigation of drag and lift coefficient is made on Y-plan shape building and it is observed that the maximum drag occurs at 45˚ wind angle, because of the less projected area when compared with the other wind angles 0˚ and 90˚ respectively. Further, this paper continues with the physics of wind flow behavior around Y-plan shape building and flow character such as vortex formation, streamlines and identification of wake region for different wind angles.

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Section: Angle Of Incidence -90˚mentioning

confidence: 99%

Investigations of Exterior Wind Flow and Aerodynamic Coefficient around Y-Plan Shape Tall Building

Vigneshwaran¹,

Prabavathy²

2022

Teknik Dergi

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“…Ma [12] proposed the wind pressure extremum algorithm combining the experimental data with numerical simulation. Malick et al [13] put forward the wind pressure coefficient model of "C" planshaped tall building model and process of obtaining its solution. Quan et al [14] proposed a wind pressure extreme value estimation method based on generalized extreme value theory.…”

Section: Introductionmentioning

confidence: 99%

Research on Wind Load Calculation Based on Identical Guarantee Rate Method

Tao

Zhu

Tan

et al. 2021

Shock and Vibration

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Wind load on building surface is one of the main loads for structural design; scholars in this field have put forward some methods to calculate wind load, such as Simiu method and Kasperski method. Based on the basic theory of probability and the systematic analysis of the surrounding environment and turbulence, a random variable model for calculating wind load is established. According to the model, through the analysis of the relationship between guarantee rate and wind load, a numerical calculation method to calculate wind load is proposed based on extreme value analysis and polynomial fitting theory. To verify the performance of the algorithm, wind tunnel experiments were carried out to obtain a large number of first-hand measured data of high-rise building (Shanghai World Financial Center). Based on the measured data, the algorithm is simulated, and calculated results are analyzed, including wind pressure distribution on building and probability distribution of fluctuating wind pressure of some measuring points. The validity and accuracy of the proposed model and algorithm are verified by the comparative analysis and theoretical analysis of the calculation results.

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“…They proposed an empirical formulation by considering the side ratio and territory of the building to express wind load. Mallick et al [22] reported the experimental wind tunnel and numerical studies on distribution of pressure coefficient on curved surfaces of C-shaped building model.…”

Section: Introductionmentioning

confidence: 99%

Multivariate Adaptive Regression Spline approach for the assessment of surface mean pressure coefficient on surfaces of C-shaped building

2020

Self Cite

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Proper assessment of wind load enables durable design of structures under varying wind load conditions. The accurate prediction of surface mean pressure coefficient   p C on any irregular plan shaped buildings is essential for the assessment of wind loads and the structural design. The main objective of this study is to present an equation in the line of Multivariate Adaptive Regression Spline (MARS) approach using experimental data of p C. This developed equation can be used satisfactorily for the prediction of p C values accurately on the surfaces of C-shaped buildings. An extensive experimentation was carried out to obtain coefficient of pressure over the surfaces of C-shaped building models under varying sizes, corner curvature and angle of incidence in a sub-sonic wind tunnel. The predicted values of pressure coefficient of different C-shaped buildings using developed model are compared with equations developed by Swami and Chandra's (S&C) and Muehleisen and Patrizi's (M&P). The comparison indicates that the proposed MARS model predicts p C values more accurately than those by S&C and M&P models on frontal as well as side surfaces. Further, the model is used to validate with the actual 2 building, Tokyo Polytechnic University (TPU) data to show the applicability of the proposed equation.

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Modelling of Wind Pressure Coefficients on C-Shaped Building Models

Cited by 17 publications

References 23 publications

Investigations of Exterior Wind Flow and Aerodynamic Coefficient around Y-Plan Shape Tall Building

Investigations of Exterior Wind Flow and Aerodynamic Coefficient around Y-Plan Shape Tall Building

Research on Wind Load Calculation Based on Identical Guarantee Rate Method

Multivariate Adaptive Regression Spline approach for the assessment of surface mean pressure coefficient on surfaces of C-shaped building

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