A comparison of methods to estimate peak wind loads on buildings

Peng, Xinlai; Yang, Luping; Gavanski, Eri; Gurley, Kurtis R.; Prevatt, David O.

doi:10.1016/j.jweia.2013.12.013

Cited by 105 publications

(40 citation statements)

References 26 publications

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“…Furthermore, the limited region of skewness γ 3 and excess γ e coefficients for the application of the Hermite moment model is defined by the monotone limitation. In case of slight deviations from the monotone limitation, a vertical mapping could be used (Peng et al, 2014). As a possible alternative, a recent approach consists in curve-fitting the cubic transformations, instead of focusing on the 3rd and 4th moments, while guaranteeing the monotone limitation (Ding and Chen, 2014).…”

Section: Bicubic Modelmentioning

confidence: 99%

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Assessment of extreme value overestimations with equivalent static wind loads

Blaise

Andrianne

Denoël

2017

Journal of Wind Engineering and Industrial Aerodynamics

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The wind-resistant design using equivalent static wind loads is convenient for structural engineers. This paper studies the reliability of such an approach in the case of non-Gaussianities in both aerodynamic pressures and responses. These non-Gaussianities are responsible for overestimations of envelope values and may result in uneconomical designs, if not appropriately understood, assessed and addressed. In this study, it is shown that the equivalent static wind loads defined with the Conditional Expected Load method, which extends the physical meaning of the Load-Response Correlation approach in a non-Gaussian framework, improves the issue of overestimations of envelope values. Several envelopes of structural responses are considered: the mean of extremes and the 86% quantiles of extremes, together with two reference periods (10 min and 1 h). Extensive wind tunnel measurements have been collected, which correspond to 371 h full scale. This study is undertaken for quasi-static analysis of structures and is illustrated with a low-rise building.

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Section: Bicubic Modelmentioning

confidence: 99%

“…A significant number of processes are close to and outside the monotone limitation. When necessary, the vertical mapping consisting in finding on the monotone limitation the skewness coefficient for the exact excess coefficient is applied, as recommended in (Peng et al, 2014).…”

Section: Structural Responses Under Equivalent Static Wind Loadsmentioning

confidence: 99%

Assessment of extreme value overestimations with equivalent static wind loads

Blaise

Andrianne

Denoël

2017

Journal of Wind Engineering and Industrial Aerodynamics

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“…In the case of slight deviations from the monotone limitation, adjustments are nevertheless proposed in Peng et al (2014). This limitation is illustrated by the curve in Fig.…”

Section: The Bicubic Modelmentioning

confidence: 99%

“…Some processes are close to the monotone limitation and only a few (5 out of 1275 processes) are slightly outside. When necessary, the vertical mapping consisting in finding on the monotone limitation the skewness coefficient for the exact excess coefficient is applied, as recommended in Peng et al (2014).…”

Section: Determination Of the Envelopementioning

confidence: 99%

Reconstruction of the envelope of non-Gaussian structural responses with principal static wind loads

Blaise

Canor

Denoël

2016

Journal of Wind Engineering and Industrial Aerodynamics

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a b s t r a c tIn current practice, structural engineers commonly focus on the wind-resistant design by means of static wind loads. In the case of non-Gaussianities, there is room for improvement to properly derive these static loads. First, this paper extends in a non-Gaussian context the concept of the load-response correlation (LRC) method establishing equivalent static wind loads (ESWLs). This is done by a proper recourse to the new concept of conditional expected static wind load and a proposed bicubic model for the joint and conditional distribution functions. Second, this paper investigates the envelope reconstruction problem targeting the efficient reconstruction of the envelope values of a set of non-Gaussian structural responses by means of principal static wind loads (PSWLs). They have been introduced in a Gaussian context and are obtained by a singular value decomposition of ESWLs. This paper addresses the extension of PSWLs to non-Gaussian structural responses, as well. The developments apply to structures with a linear behavior and subjected to an aerodynamic pressure field exhibiting mildly to strongly nonGaussian features. In this context, the well-known load-response correlation and conditional sampling methods are used for comparisons. This study is undertaken for quasi-static analysis of structures and is illustrated on a low-rise building.

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“…Once the combinations of sk and ku of actual samples deviate far away from the relationship, remarkable fitting errors will be incurred. For the KS technique, it facilitates satisfactory fitting accuracy in the bulk, but proved to be inexact in the tail regions …”

Section: Introductionmentioning

confidence: 99%

Peak factor estimation of non‐Gaussian wind pressure on high‐rise buildings

Fei

2017

Structural Design Tall Build

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Summary A vast quantity of measurements of wind‐induced non‐Gaussian effects on buildings call for the burgeoning development of more advanced extrema estimation approaches for non‐Gaussian processes. In this study, a well‐directed method for estimating the peak factor and modeling the extrema distribution for non‐Gaussian processes is proposed. This method is characterized by using two fitted probability distributions of the parent non‐Gaussian process to separately fulfill the estimations of the extrema on long‐tail and short‐tail sides. In this method, the Johnson transformation is adopted to be the probabilistic model for fitting the parent distribution of the non‐Gaussian process due to its superior fitting goodness and universality. For each dataset, two Johnson transformations will be established by two parameter estimation methods to individually estimate the extrema on two sides. Then a Gumbel assumption is applied for conveniently determining the non‐Gaussian peak factor. This method is validated through long‐duration wind pressure records measured on the model surfaces of a high‐rise building in wind tunnel test. The results show that the proposed method is more accurate and robust than many existing ones in estimating peak factors for non‐Gaussian wind pressures.

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A comparison of methods to estimate peak wind loads on buildings

Cited by 105 publications

References 26 publications

Assessment of extreme value overestimations with equivalent static wind loads

Assessment of extreme value overestimations with equivalent static wind loads

Reconstruction of the envelope of non-Gaussian structural responses with principal static wind loads

Peak factor estimation of non‐Gaussian wind pressure on high‐rise buildings

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