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Incoming windblown sand drift to civil infrastructures: A probabilistic evaluation.

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Title: Incoming windblown sand drift to civil infrastructures: A probabilistic evaluation.
Authors: Raffaele, Lorenzo1,2 lorenzo.raffaele@polito.it, Bruno, Luca1,2, Fransos, Davide2,3, Pellerey, Franco4
Source: Journal of Wind Engineering & Industrial Aerodynamics. Jul2017, Vol. 166, p37-47. 11p.
Subjects: Probability theory, Monte Carlo method, Statistical bootstrapping, Arid regions, Glacial drift
Abstract: The accurate prediction of windblown sand drift events approaching human infrastructures and activities is fundamental in arid lands. In both scientific literature and technical practice sand drift estimation is carried out in mean terms. Typically, sand drift net direction and intensity are assessed by means of the resultant drift potential. However, windblown sand suffers a number of epistemic and aleatory uncertainties, related to both the wind and the sand fields. The windblown sand drift estimation in probabilistic terms is useful in the infrastructure design perspective and allows to obtain characteristic values of windblown sand transport. In this study windblown sand is considered as an environmental action in analogy to wind action. Several uncertainties involved in the phenomenon are considered: threshold shear velocity and 10-min average wind velocity are assumed as random variables. Monte Carlo approach is adopted within a bootstrapping technique in order to assess sand drift in probabilistic terms. The proposed approach is applied to five sites in the Arabian Peninsula. Directional statistics of the sand drift are given for each site. [ABSTRACT FROM AUTHOR]
Copyright of Journal of Wind Engineering & Industrial Aerodynamics is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
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DbLabel: Engineering Source
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  Data: The accurate prediction of windblown sand drift events approaching human infrastructures and activities is fundamental in arid lands. In both scientific literature and technical practice sand drift estimation is carried out in mean terms. Typically, sand drift net direction and intensity are assessed by means of the resultant drift potential. However, windblown sand suffers a number of epistemic and aleatory uncertainties, related to both the wind and the sand fields. The windblown sand drift estimation in probabilistic terms is useful in the infrastructure design perspective and allows to obtain characteristic values of windblown sand transport. In this study windblown sand is considered as an environmental action in analogy to wind action. Several uncertainties involved in the phenomenon are considered: threshold shear velocity and 10-min average wind velocity are assumed as random variables. Monte Carlo approach is adopted within a bootstrapping technique in order to assess sand drift in probabilistic terms. The proposed approach is applied to five sites in the Arabian Peninsula. Directional statistics of the sand drift are given for each site. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Journal of Wind Engineering & Industrial Aerodynamics is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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      – Type: doi
        Value: 10.1016/j.jweia.2017.04.004
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      – Code: eng
        Text: English
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      Pagination:
        PageCount: 11
        StartPage: 37
    Subjects:
      – SubjectFull: Probability theory
        Type: general
      – SubjectFull: Monte Carlo method
        Type: general
      – SubjectFull: Statistical bootstrapping
        Type: general
      – SubjectFull: Arid regions
        Type: general
      – SubjectFull: Glacial drift
        Type: general
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      – TitleFull: Incoming windblown sand drift to civil infrastructures: A probabilistic evaluation.
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            NameFull: Raffaele, Lorenzo
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            NameFull: Bruno, Luca
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            NameFull: Fransos, Davide
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            NameFull: Pellerey, Franco
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            – D: 01
              M: 07
              Text: Jul2017
              Type: published
              Y: 2017
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              Value: 166
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            – TitleFull: Journal of Wind Engineering & Industrial Aerodynamics
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