Collating Wind Data for Doubly-curved Shapes of Tensioned Surface Structures (Round Robin Exercise 3)

Colliers, Jimmy; Mollaert, Marijke; Vierendeels, Jan; Laêt, Lars De

doi:10.1016/j.proeng.2016.08.016

Cited by 15 publications

(8 citation statements)

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“…Based on the experimental wind-tunnel studies carried out in the CRIACIV boundary layer wind tunnel (Italy) [28][29][30][31][32][33][34][35][36][37], this paper has examined the results for four rectangular models of low-rise buildings with HPR. In particular, it has discussed the dependence of the pressure coefficients correlation value on the height and curvature of the scale models and the mean direction of the wind.…”

Section: Discussionmentioning

confidence: 99%

“…Cable instability may occur under strong upward action because the cable tension in the upward cables decreases until the cable becomes unstable. Several studies have discussed the structural performances of this kind of roof [23][24][25][26][27][28], and specific parametric studies [29][30][31][32][33][34][35][36][37][38] given by two of the authors have contributed to the Italian standard [39] that provides pressure coefficients for HPR with square [37], rectangular [37], circular, and elliptical plan shapes [38].…”

Section: Introductionmentioning

confidence: 99%

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Investigation of the Pressure Coefficients Correlation Field for Low-Rise Building Roofs

2022

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The use of hyperbolic paraboloid roofing (HPRs) is increasingly common in contemporary architecture, especially for buildings with large spans, making use of tensile structures or light shells. These structures are very sensitive to wind loads because of their light weight. In particular, they tend to oscillate under wind action, generating complex pressure distributions and cable instability. Therefore, for this shape structure, the investigation of wind-pressure coefficients correlations plays a relevant role in the design of structural elements. Therefore, based on wind tunnel tests, this paper investigates the behavior of four rectangular low-rise building models with HPR when immersed in a turbulent boundary layer flow. The test results were synthesized in correlation maps of the pressure coefficients. The results were evaluated as functions of different model heights and curvatures, and considering three different angles of wind incidence (0°, 45°, and 90°).

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Investigation of the Pressure Coefficients Correlation Field for Low-Rise Building Roofs

2022

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“…The scientific studies in the field of HPR can be grouped into four families: (1) studies discussing the structural behaviour of the HPR cable net [1,2,4,5]; (2) studies presenting the aerodynamics of HPR shape by [7] that gives parametric pressure coefficients maps for square and rectangular plan HPR with cables parallel to the roof sides and by [8] that discusses the statistics of pressure series on a square plan HPR and [9][10][11] that discusses the state of the art on HPR with cables at 45° with roof sides; (3) studies illustrating other multi-physics aspects, for example, the acoustic performances of HPR cable nets, as discussed by [12]; and finally, (4) studies investigating the wind-structure interaction in HPR roofs. Some examples are [13,14] discuss the aerodynamic damping and [15] discusses the structural dynamics in terms of natural modes of HPRs made of membrane only, [16] discusses the added mass and aerodynamic damping on a square HPR made of cables and membrane, [17] investigates the behaviour of large cable roofs in the turbulent wind in the wind tunnel using both rigid and aeroelastic models and finally, [18] that investigates the aeroelastic behaviour of an open-type one-way tensioned membrane through wind tunnel tests.…”

Section: Introductionmentioning

confidence: 99%

Construction and dynamic identification of aeroelastic test models for flexible roofs

Rizzo

Sadhu

Abasi

et al. 2022

Archiv.Civ.Mech.Eng

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The aeroelastic wind tunnel testing of flexible roofs made of hyperbolic paraboloid cable nets is a challenging task for designers and researchers, with very limited documented experiences in the literature. The reduced-scale model construction and its dynamic identification are the main issues to address when approaching this problem, mainly because of (i) the very small mass of the roof, (ii) the strict aeroelastic criteria to satisfy and (iii) a large number of very closely spaced significant natural frequencies. To suggest an approach to follow to investigate the wind—structure interaction for this structural typology, this paper discusses the aeroelastic scaling, the aeroelastic model construction, the dynamic modal identification and the FEM predictive numerical modelling of hyperbolic paraboloid roofs (HPRs) with square, rectangular and circular plan shapes and two different curvatures. Modal identification is especially challenging due to the presence of several closely spaced modes and it is here tackled by different methods such as Welch’s method, random decrement technique (RDT), Empirical mode decomposition with a time-varying filter (TVF-EMD) and frequency domain decomposition method (FDD). The satisfying accuracy of the aeroelastic scaling has been verified by comparing the wind-induced vertical displacements of the prototypes against those of the experimental models. Furthermore, an extensive qualitative investigation of the natural mode shapes has been carried out revealing that test models reproduce most of the prototype modes.

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“…Hyperbolic paraboloid shapes are often employed in tensile roof structures with very large spans (Chilton 2010;Huntington 2004Huntington , 2013Rizzo andZazzini 2016, 2017). The structural reliability of cables structures and in particular of hyperbolic paraboloid cable nets under wind actions crucially depends on their aerodynamic and aeroelastic response, the knowledge of which is limited (Colliers et al 2016(Colliers et al , 2019(Colliers et al , 2020; Elashkar and Novak 1983; For hyperbolic paraboloid roofs (HPRs) made of cable nets, the roof stiffness depends on the roof geometry, the initial pretensioning strain of the cables, and the roof deformation induced by the applied loads. Under upward loads, as those generated by strong winds, the strain in the sagging (upward curvature) cables decreases as the cables flatten.…”

Section: Introductionmentioning

confidence: 99%

Shape dependence of wind pressure peak factor statistics in hyperbolic paraboloid roofs

Rizzo

Barbato

Sepe

2021

Journal of Building Engineering

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The complex shape dependence of wind pressure's peak factors (PFs) makes it difficult to predict their values for all geometries by using analytical models. Thus, experimental studies are necessary to validate available or new analytical models for each specific shape and geometry. Very little information is available in the literature for the hyperbolic paraboloid geometry, which is frequently used for cable net and membrane roofs that are particularly appropriate for covering large spans. This paper focuses on wind pressure's PFs for this specific geometry. It presents a statistical analysis of experimental data taken from wind tunnel experiments on eight different geometries, obtained through the combinations of squared and rectangular plan shapes, high and low models, and two different curvatures of the roof parabolas. Roof zones for which a non-Gaussian behavior is predominant are identified. A comparison is made between PF statistics obtained experimentally and those estimated by the Davenport, modified Hermite, and Translated Peak Process (TPP) models, in terms of means and standard deviation errors estimated over the entire roofs. It is concluded that the modified Hermite and the TPP models provide the best estimates of the PF means and standard deviations, respectively.

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Collating Wind Data for Doubly-curved Shapes of Tensioned Surface Structures (Round Robin Exercise 3)

Cited by 15 publications

References 10 publications

Investigation of the Pressure Coefficients Correlation Field for Low-Rise Building Roofs

Investigation of the Pressure Coefficients Correlation Field for Low-Rise Building Roofs

Construction and dynamic identification of aeroelastic test models for flexible roofs

Shape dependence of wind pressure peak factor statistics in hyperbolic paraboloid roofs

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