کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
559040 1451853 2016 7 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Two-dimensional optical coherence vibration tomography for low-frequency vibration measurement and response-only modal analysis
ترجمه فارسی عنوان
توموگرافی لرزه ای دو بعدی نوری برای اندازه گیری لرزش با فرکانس پایین و تجزیه و تحلیل مودال واکنش پاسخ
کلمات کلیدی
دوبعدی توموگرافی انسجام نوری، اندازه گیری لرزش خط، ارتعاش سطح سه بعدی، تجزیه و تحلیل مودال
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر پردازش سیگنال
چکیده انگلیسی


• A subnanometre-resolution 2DOCVT system was developed for low-frequency vibration measurement and modal analysis.
• Three-dimensional displacement of vibrating structures could be obtained using the 2DOCVT by scanning the structures.
• The 2DOCVT is a response-only method that could capture structural modal parameters without input information.

A high-speed camera-based two-dimensional optical coherence vibration tomography (2DOCVT) system with a subnanometre displacement resolution was developed and employed for low-frequency vibration measurement and modal analysis. Experimental results demonstrated the ability of low-frequency absolute displacement measurement of structural line vibrations without scanning. Three-dimensional (3D) surface displacement of a vibrating structure could also be obtained using the developed 2DOCVT by scanning the structure. The scanning 2DOCVT system acted like a 3D optical coherence vibration tomography system. The developed 2DOCVT system could capture structural modal parameters without vibration excitation input information, and therefore, it is a response-only method. The 2DOCVT could be recommended in the application of low-frequency vibration measurement and modal analysis of beam and plate structures, especially when the vibration amplitude is at nanometre or micrometre scale.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Mechanical Systems and Signal Processing - Volume 79, 15 October 2016, Pages 65–71
نویسندگان
, , ,