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Détail de l'auteur
Auteur GunJin Yun
Documents disponibles écrits par cet auteur
Affiner la rechercheImproved damage localization and quantification using subset selection / Wei Song in Journal of engineering mechanics, Vol. 135 N° 6 (Juin 2009)
[article]
in Journal of engineering mechanics > Vol. 135 N° 6 (Juin 2009) . - pp. 548-560
Titre : Improved damage localization and quantification using subset selection Type de document : texte imprimé Auteurs : Wei Song, Auteur ; Shirley Dyke, Auteur ; GunJin Yun, Auteur Article en page(s) : pp. 548-560 Note générale : Mécanique appliquée Langues : Anglais (eng) Mots-clés : Damage Optimization Localization Structural response. Résumé : Because a structure's modal parameters (natural frequencies and mode shapes) are affected by structural damage, finite- element model updating techniques are often applied to locate and quantify structural damage. However, the dynamic behavior of a structure can only be observed in a narrow knowledge space, which usually causes nonuniqueness and ill-posedness in the damage detection problem formulation. Thus, advanced optimization techniques are a necessary tool for solving such a complex inverse problem. Furthermore, a preselection process of the most significant damage parameters is helpful to improve the efficiency of the damage detection procedure. A new approach, which combines a parameter subset selection process with the application of damage functions is proposed herein to accomplish this task. Starting with a simple 1D beam, this paper first demonstrates several essential concepts related to the proposed model updating approach. A more advanced example considering a 2D model is then considered. To determine the capabilities of this approach for more complex structures, a trust region-based optimization method is adopted to solve the corresponding nonlinear minimization problem. The objective is to provide an improved robust solution to this challenging problem. DEWEY : 620.1 ISSN : 0733-9399 En ligne : http://ascelibrary.aip.org/getabs/servlet/GetabsServlet?prog=normal&id=JENMDT000 [...] [article] Improved damage localization and quantification using subset selection [texte imprimé] / Wei Song, Auteur ; Shirley Dyke, Auteur ; GunJin Yun, Auteur . - pp. 548-560.
Mécanique appliquée
Langues : Anglais (eng)
in Journal of engineering mechanics > Vol. 135 N° 6 (Juin 2009) . - pp. 548-560
Mots-clés : Damage Optimization Localization Structural response. Résumé : Because a structure's modal parameters (natural frequencies and mode shapes) are affected by structural damage, finite- element model updating techniques are often applied to locate and quantify structural damage. However, the dynamic behavior of a structure can only be observed in a narrow knowledge space, which usually causes nonuniqueness and ill-posedness in the damage detection problem formulation. Thus, advanced optimization techniques are a necessary tool for solving such a complex inverse problem. Furthermore, a preselection process of the most significant damage parameters is helpful to improve the efficiency of the damage detection procedure. A new approach, which combines a parameter subset selection process with the application of damage functions is proposed herein to accomplish this task. Starting with a simple 1D beam, this paper first demonstrates several essential concepts related to the proposed model updating approach. A more advanced example considering a 2D model is then considered. To determine the capabilities of this approach for more complex structures, a trust region-based optimization method is adopted to solve the corresponding nonlinear minimization problem. The objective is to provide an improved robust solution to this challenging problem. DEWEY : 620.1 ISSN : 0733-9399 En ligne : http://ascelibrary.aip.org/getabs/servlet/GetabsServlet?prog=normal&id=JENMDT000 [...]