| Titre : | Improved damage localization and quantification using subset selection |
| Auteurs : | Wei Song, Auteur ; Shirley Dyke, Auteur ; GunJin Yun, Auteur |
| Type de document : | Article : texte imprimé |
| Dans : | Journal of engineering mechanics (Vol. 135 N° 6, Juin 2009) |
| Article en page(s) : | pp. 548-560 |
| Note générale : | Mécanique appliquée |
| Langues : | Anglais |
| Tags : | 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=JENMDT000135000006000548000001&idtype=cvips&gifs=Yes&ref=no |
