کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
498247 862980 2014 25 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Stochastic identification of imperfections in a submerged shell structure
ترجمه فارسی عنوان
شناسایی تصادفی از نقص در یک ساختار پوسته غوطه ور
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر نرم افزارهای علوم کامپیوتر
چکیده انگلیسی


• Geometric imperfection parameters are estimated in a fluid–structure interaction system.
• Inverse problem solved using Markov chain Monte Carlo sampling.
• Non-contact approach to damage identification is explored.
• Uncertainty surrounding the parameters is quantified.

Accurate predictions of the buckling load in imperfection sensitive shell structures requires precise knowledge of the location and magnitude of any geometric imperfections in the shell (e.g. dents). This work describes a non-contact approach to identifying such imperfections in a submerged shell structure. By monitoring the acoustic pressure field at discrete points proximal to a shell structure excited by a cyclic membrane (i.e. in-plane) loading, it is noticed that parameters, describing small scale denting, can be identified. In order to perform the identification, a fluid-structure model that predicts the spatio-temporal pressure field is required. This model is described in detail and includes the predicted effects of the imperfection on the observations. A Bayesian, Markov chain Monte Carlo approach is then used to generate the imperfection parameter estimates and quantify the uncertainty in those estimates. Additionally: for cases involving the occurrence of an unknown number of dents, reversible jump Markov chain Monte Carlo (RJMCMC) methods are employed in this work.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Computer Methods in Applied Mechanics and Engineering - Volume 272, 15 April 2014, Pages 58–82
نویسندگان
, , ,