Evaluation of Load Values Using the Gumbel Model

The paper deals with application of the Gumbel model to evaluation of the environmental loads. According to recommendations of Eurocodes, the conventional method of determining return period and characteristic values of loads utilizes the theory of extremes and implicitly assumes that the cumulative...

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Main Authors: Wolinski S., Pytlowany T.
Format: Article
Language:English
Published: Sciendo 2012-06-01
Series:Archives of Civil Engineering
Subjects:
Online Access:http://www.degruyter.com/view/j/ace.2012.58.issue-2/v.10169-012-0012-1/v.10169-012-0012-1.xml?format=INT
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spelling doaj-d565b7db237943868ca3e45ae901ef9d2020-11-25T02:19:46ZengSciendoArchives of Civil Engineering1230-29452012-06-0158219920810.2478/v.10169-012-0012-1v.10169-012-0012-1Evaluation of Load Values Using the Gumbel ModelWolinski S.0Pytlowany T.1Assoc. Prof. S. Wolinski, Department of Building Structures, Faculty of Civil and EnvironmentalMA. Department of Civil Engineering, Faculty of Civil Engineering, Institute of Technology, KrosnoThe paper deals with application of the Gumbel model to evaluation of the environmental loads. According to recommendations of Eurocodes, the conventional method of determining return period and characteristic values of loads utilizes the theory of extremes and implicitly assumes that the cumulative distribution function of the annual or other basic period extremes is the Gumbel distribution. However, the extreme value theory shows that the distribution of extremes asymptotically approaches the Gumbel distribution when the number of independent observations in each observation period from which the maximum is abstracted increases to infinity. Results of calculations based on simulation show that in practice the rate of convergence is very slow and significantly depends on the type of parent results distribution, values of coefficient of variation, and number of observation periods. In this connection, a straightforward purely empirical method based on fitting a curve to the observed extremes is suggested.http://www.degruyter.com/view/j/ace.2012.58.issue-2/v.10169-012-0012-1/v.10169-012-0012-1.xml?format=INTsnow loadextreme loadsGumbel modelMonte Carlo simulationreturn period
collection DOAJ
language English
format Article
sources DOAJ
author Wolinski S.
Pytlowany T.
spellingShingle Wolinski S.
Pytlowany T.
Evaluation of Load Values Using the Gumbel Model
Archives of Civil Engineering
snow load
extreme loads
Gumbel model
Monte Carlo simulation
return period
author_facet Wolinski S.
Pytlowany T.
author_sort Wolinski S.
title Evaluation of Load Values Using the Gumbel Model
title_short Evaluation of Load Values Using the Gumbel Model
title_full Evaluation of Load Values Using the Gumbel Model
title_fullStr Evaluation of Load Values Using the Gumbel Model
title_full_unstemmed Evaluation of Load Values Using the Gumbel Model
title_sort evaluation of load values using the gumbel model
publisher Sciendo
series Archives of Civil Engineering
issn 1230-2945
publishDate 2012-06-01
description The paper deals with application of the Gumbel model to evaluation of the environmental loads. According to recommendations of Eurocodes, the conventional method of determining return period and characteristic values of loads utilizes the theory of extremes and implicitly assumes that the cumulative distribution function of the annual or other basic period extremes is the Gumbel distribution. However, the extreme value theory shows that the distribution of extremes asymptotically approaches the Gumbel distribution when the number of independent observations in each observation period from which the maximum is abstracted increases to infinity. Results of calculations based on simulation show that in practice the rate of convergence is very slow and significantly depends on the type of parent results distribution, values of coefficient of variation, and number of observation periods. In this connection, a straightforward purely empirical method based on fitting a curve to the observed extremes is suggested.
topic snow load
extreme loads
Gumbel model
Monte Carlo simulation
return period
url http://www.degruyter.com/view/j/ace.2012.58.issue-2/v.10169-012-0012-1/v.10169-012-0012-1.xml?format=INT
work_keys_str_mv AT wolinskis evaluationofloadvaluesusingthegumbelmodel
AT pytlowanyt evaluationofloadvaluesusingthegumbelmodel
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