Characterisation of pressure coefficients on hyperbolic paraboloid roofs

Rizzo, Fabio; D’Asdia, P.; Ricciardelli, Francesco; Bartoli, Gianni

doi:10.1016/j.jweia.2012.01.003

Cited by 41 publications

(19 citation statements)

References 5 publications

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“…Figure 4 shows the pdf (i.e., probability The pressure tap distribution chosen by the researchers closely affected the results. In fact, the processes acquired near the borders of the roof were statistically very different from others located in the middle of the roof [35].…”

Section: Experimental Datamentioning

confidence: 61%

“…For the square plan, l1 is equal to l2; H is the sum of f1 + f2 and in this research, it was equal to 1/10 l1 (for model 1 and 2) and 1/6 l1 (for model 3 and 4 of l1 [27]); and HB is the distance between the ground and the lower point of the roof. [27,35]. The scaled models were made in wood and 1.5 mm Teflon diameter tubes instrumented the pressure taps.…”

Section: Geometrical Sample and Experimental Setupmentioning

confidence: 99%

“…Computation 2018, 6, 64 2 of 17In fact, if the processes are non-Gaussian, the mean value is not precise enough to represent them. The non-Gaussianity generally depends on very big flow fluctuation because of, for example, flow separation near edges or vortex shedding caused by a complex geometry [27,35]. Recently, the authors of [35,36] illustrated the peak factor distributions on a hyperbolic paraboloid roof and showed that many processes acquired by pressure taps, particularly near the roof borders and corners, are non-Gaussian processes.…”

mentioning

confidence: 99%

“…The non-Gaussianity generally depends on very big flow fluctuation because of, for example, flow separation near edges or vortex shedding caused by a complex geometry [27,35]. Recently, the authors of [35,36] illustrated the peak factor distributions on a hyperbolic paraboloid roof and showed that many processes acquired by pressure taps, particularly near the roof borders and corners, are non-Gaussian processes. For these reasons, the mean values of the pressure coefficient series are representative as much as the mode, for example.In cases where the difference between mean and mode values is significant, if the mean is lower than the mode (i.e., which is the most frequent value), the use of mean pressure coefficients can affect structure reliability.…”

mentioning

confidence: 99%

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Mode Pressure Coefficient Maps as an Alternative to Mean Pressure Coefficient Maps for Non-Gaussian Processes: Hyperbolic Paraboloid Roofs as Cases of Study

Viskovic

2018

Computation

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Wind tunnel experiments are necessary for geometries that are not investigated by codes or that are not generally and parametrically investigated by literature. One example is the hyperbolic parabolic shape mostly used for cable net roofs, for which codes do not provide pressure coefficients and literature only gives mean, maxima, and minima pressure coefficient maps. However, most of pressure series acquired in wind tunnels on the roof are not Gaussian processes and, for this reason, the mean values are not precisely representative of the process. The paper investigates the ratio between mean and mode of pressure coefficient series acquired in wind tunnels on buildings covered with hyperbolic paraboloid roofs with square plans. Mode pressure coefficient maps are given as an addition to traditional pressure coefficient maps.

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Section: Experimental Datamentioning

confidence: 61%

Section: Geometrical Sample and Experimental Setupmentioning

confidence: 99%

mentioning

confidence: 99%

mentioning

confidence: 99%

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Mode Pressure Coefficient Maps as an Alternative to Mean Pressure Coefficient Maps for Non-Gaussian Processes: Hyperbolic Paraboloid Roofs as Cases of Study

Viskovic

2018

Computation

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“…Generally, the scientific literature proposes simplifications of experimental tests as for example simplified maps of pressure coefficients [22,23] or parametrical studies of the structural dynamics [19]. However, the most of literature examples are focused on specific cases of study [24][25][26][27][28][29][30][31][32][33][34][35][36][37][38] that sometimes are not generalizable.…”

Section: Introductionmentioning

confidence: 99%

Geometrically Nonlinear Analyses of Tensile Structural Systems: Wind-Structure Interaction

Giovanni¹,

Taddeo²

2019

Proceedings of the 7th International Conference on Computational Methods in Structural Dynamics and Earthquake Engineering (COM

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Tensile structural systems as for example cables nets, suspended bridges or membranes usually have nonneglecting p-delta effects under wind action. Consequently, great displacements give a geometrically nonlinear structural behavior. In addition, the wind action is nonlinear spatially and time depending. This closely affect the dynamic interaction between loads and structure. For this reason, the calculation process needs to take into account the timedepending nonlinear response of the structure. Finally, the wind action can be critical for structural and it can induce global or local instability. Analyses has to be able to capture and to describe the instability response in term of displacements, in the case of cables net, or rotations, in the case of suspended bridges. The paper is focused on the wind-structure interaction analyses carried out by wind tunnel experiments. The wind action is generally given by wind tunnel experiments, and it is time depending. For roofs, it generally is given as pressure time histories measured by some pressure taps on the roof. The process from experiments to structural response is described using a case of study of cables net. The dynamic geometrically nonlinear analyses were performed using the TENSO non-commercial program, which can execute dynamic step-by-step integration of the nonlinear three-dimensional structure with geometric nonlinearities by the Newmark-Beta method with Rayleigh damping.

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Pressure Field Correlation for Buildings with Hyperbolic Paraboloid Roofs: Results of Wind-Tunnel Tests

Rizzo

Sepe

2020

Lecture Notes in Mechanical Engineering

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Characterisation of pressure coefficients on hyperbolic paraboloid roofs

Cited by 41 publications

References 5 publications

Mode Pressure Coefficient Maps as an Alternative to Mean Pressure Coefficient Maps for Non-Gaussian Processes: Hyperbolic Paraboloid Roofs as Cases of Study

Mode Pressure Coefficient Maps as an Alternative to Mean Pressure Coefficient Maps for Non-Gaussian Processes: Hyperbolic Paraboloid Roofs as Cases of Study

Geometrically Nonlinear Analyses of Tensile Structural Systems: Wind-Structure Interaction

Pressure Field Correlation for Buildings with Hyperbolic Paraboloid Roofs: Results of Wind-Tunnel Tests

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