کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
4976580 1451832 2018 22 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
On-line Bayesian model updating for structural health monitoring
ترجمه فارسی عنوان
به روز رسانی مدل بیزی برای نظارت بر سلامت سازمانی
کلمات کلیدی
به روز رسانی مدل بیزی، شناسایی خسارت در زمان واقعی، نظارت بر سلامت آنلاین، ترک خستگی عدم قطعیت، شبکه های عصبی مصنوعی، بازوی تعلیق، قاب آلومینیوم،
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر پردازش سیگنال
چکیده انگلیسی
Fatigue induced cracks is a dangerous failure mechanism which affects mechanical components subject to alternating load cycles. System health monitoring should be adopted to identify cracks which can jeopardise the structure. Real-time damage detection may fail in the identification of the cracks due to different sources of uncertainty which have been poorly assessed or even fully neglected. In this paper, a novel efficient and robust procedure is used for the detection of cracks locations and lengths in mechanical components. A Bayesian model updating framework is employed, which allows accounting for relevant sources of uncertainty. The idea underpinning the approach is to identify the most probable crack consistent with the experimental measurements. To tackle the computational cost of the Bayesian approach an emulator is adopted for replacing the computationally costly Finite Element model. To improve the overall robustness of the procedure, different numerical likelihoods, measurement noises and imprecision in the value of model parameters are analysed and their effects quantified. The accuracy of the stochastic updating and the efficiency of the numerical procedure are discussed. An experimental aluminium frame and on a numerical model of a typical car suspension arm are used to demonstrate the applicability of the approach.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Mechanical Systems and Signal Processing - Volume 103, 15 March 2018, Pages 174-195
نویسندگان
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