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ESTIMATION OF THE CHARACTERISTIC VALUE OF WOOD STRENGTH REA
Christoforo,André L.; Almeida,Andrea de S.; Lanini,Tamiris L. S.; Nogueira,Rodrigo de S.; Lahr,Francisco A. R..
ABSTRACT For safety reasons, wood strength values, essential for structural dimensioning, are calculated based on the characteristic value, which corresponds to the 5% percentile of a given probability distribution model. For small samples, the Brazilian normative document ABNT NBR 7190 establishes an estimator of the characteristic wood strength, which can provide a significantly different result from the characteristic value coming from a suitable model of probability distribution. The main objective of this study was to evaluate the best probability distribution model (normal, lognormal, Weibull, and exponential) and the subsequent calculation of the characteristic value indicated by ABNT NBR 7190 (1997), allowing to evaluate its accuracy, being also...
Tipo: Info:eu-repo/semantics/article Palavras-chave: Wood; Compression; Traction; Shear; Probability distribution; Characteristic value.
Ano: 2019 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-69162019000100127
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Probability distributions for maximum wave and crest heights ArchiMer
Prevosto, Marc; Krogstad, He; Robin, Agnes.
The paper discusses short- and long-term probability models of ocean waves. The Gaussian theory is reviewed, and nonlinear short-term probability distributions are derived from a narrow band second-order model. The nonlinearity has different impact on different measurement techniques, and this is further demonstrated for wave data from the WAVEMOD Crete measurement campaign and laser data from the North Sea. Finally, we give some examples on how the short-term statistics may be used to estimate the probability distributions for the maximum waves during individual storms as well as in a wave climate described by long-term distributions. (C) 2000 Elsevier Science B.V. All rights reserved.
Tipo: Text Palavras-chave: Maximum wave height; Maximum crest height; Non linear models; Probability distribution; Narrow band model.
Ano: 2000 URL: https://archimer.ifremer.fr/doc/00000/10507/66723.pdf
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