Dynamic Response and Buckling Failure Measures for Structures With Bounded and Random ImperfectionsSource: Journal of Applied Mechanics:;1991:;volume( 058 ):;issue: 004::page 1092Author:H. E. Lindberg
DOI: 10.1115/1.2897690Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Comparisons between an unknown-but-bounded imperfection model and a random imperfection model show that for simple pointwise failure measures, at least, the two models give the same expressions for their measures of response, but each measure has a distinctly different interpretation. The former gives the maximum possible response for any imperfection within a specified bound. The latter gives the standard deviation of response, which, together with the statistical distribution, can be used to specify the maximum response at a specified confidence level. However, since the statistical distributions of imperfections, and hence of the response are often unknown, confidence levels are difficult to define, especially in the tail of the distribution at high confidence levels. The unknown-but-bounded model requires less information about the imperfections to come to a well-defined bound on response. It is further shown that, while the maximum possible response might seem to be a severe failure avoidance criterion, it can be less constricting than having to impose artificially high confidence levels with poorly known statistical distributions.
keyword(s): Buckling , Dynamic response , Failure AND Statistical distributions ,
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contributor author | H. E. Lindberg | |
date accessioned | 2017-05-08T23:34:30Z | |
date available | 2017-05-08T23:34:30Z | |
date copyright | December, 1991 | |
date issued | 1991 | |
identifier issn | 0021-8936 | |
identifier other | JAMCAV-26335#1092_1.pdf | |
identifier uri | http://yetl.yabesh.ir/yetl/handle/yetl/107962 | |
description abstract | Comparisons between an unknown-but-bounded imperfection model and a random imperfection model show that for simple pointwise failure measures, at least, the two models give the same expressions for their measures of response, but each measure has a distinctly different interpretation. The former gives the maximum possible response for any imperfection within a specified bound. The latter gives the standard deviation of response, which, together with the statistical distribution, can be used to specify the maximum response at a specified confidence level. However, since the statistical distributions of imperfections, and hence of the response are often unknown, confidence levels are difficult to define, especially in the tail of the distribution at high confidence levels. The unknown-but-bounded model requires less information about the imperfections to come to a well-defined bound on response. It is further shown that, while the maximum possible response might seem to be a severe failure avoidance criterion, it can be less constricting than having to impose artificially high confidence levels with poorly known statistical distributions. | |
publisher | The American Society of Mechanical Engineers (ASME) | |
title | Dynamic Response and Buckling Failure Measures for Structures With Bounded and Random Imperfections | |
type | Journal Paper | |
journal volume | 58 | |
journal issue | 4 | |
journal title | Journal of Applied Mechanics | |
identifier doi | 10.1115/1.2897690 | |
journal fristpage | 1092 | |
journal lastpage | 1095 | |
identifier eissn | 1528-9036 | |
keywords | Buckling | |
keywords | Dynamic response | |
keywords | Failure AND Statistical distributions | |
tree | Journal of Applied Mechanics:;1991:;volume( 058 ):;issue: 004 | |
contenttype | Fulltext |