کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
565452 1451859 2016 14 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Hybrid computational strategy for structural damage detection with short-term monitoring data
ترجمه فارسی عنوان
استراتژی محاسباتی ترکیبی برای تشخیص آسیب ساختاری با داده های نظارت کوتاه مدت
کلمات کلیدی
نظارت کوتاه مدت، شناسایی آسیب، محاسبات موازی، جستجوی الگو موجک
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر پردازش سیگنال
چکیده انگلیسی


• Method to use measured data from multiple setup for damage detection.
• Local damages are evaluated from Pattern Search instead of inverse analysis.
• Multiple CPUs and GPUs are used in the parallel computation of force and model updating.

The scenario of damage detection of a structure without permanent structural health monitoring system is explored. Dynamic responses are collected from different measurement setups and excitations in different regions of a structure. All the measured data are analyzed together in the proposed strategy with consideration of the different excitations. Local damages in terms of physical structural parameters are evaluated from the direct analysis using the Pattern Search method with a hybrid parallel computing strategy using CPU and GPU instead of the usual inverse analysis. The objective function is the difference between the measured and calculated responses from an updated finite element model of the structure. The proposed approach is illustrated with a plane frame structure with different tests and measurements in three regions. The effect of the size of the Generating Matrix of the Pattern Search method is also investigated and discussed. There is noted and improved computation efficiency when a large Generating Matrix with 2000 columns is used. The simulations illustrate the feasibility of using a few sensors for the damage detection of a large-scale structure with short-term monitoring data.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Mechanical Systems and Signal Processing - Volumes 70–71, March 2016, Pages 650–663
نویسندگان
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