دانلود مقاله ISI انگلیسی شماره 127150
ترجمه فارسی عنوان مقاله

یک رویکرد چند حالت برای تشخیص آسیب چند جهته در ساختارهای قاب

عنوان انگلیسی
A multi-mode approach for multi-directional damage detection in frame structures
کد مقاله سال انتشار تعداد صفحات مقاله انگلیسی
127150 2017 12 صفحه PDF
منبع

Publisher : Elsevier - Science Direct (الزویر - ساینس دایرکت)

Journal : Engineering Structures, Volume 147, 15 September 2017, Pages 505-516

ترجمه کلمات کلیدی
نظارت بر سلامت سازمانی، پل تست شده، خسارات سه بعدی، شناسایی آسیب چند حالت، شبکه سنسور،
کلمات کلیدی انگلیسی
Structural Health Monitoring; Bridge testbed; Three-dimensional damages; Multi-mode damage identification; Sensor network;
پیش نمایش مقاله
پیش نمایش مقاله  یک رویکرد چند حالت برای تشخیص آسیب چند جهته در ساختارهای قاب

چکیده انگلیسی

Due to their three-dimensional nature, damages have different effects on each vibration mode of a frame structure, depending on the direction of deflection of its structural elements. In this study, a Multi-mode Multi-directional Damage Index (MMDI) method is proposed to benefit from the recognition of the multi-directional effects of damages in order to reduce damage detection errors. The novelty of the method resides in the use of specifically developed modal combination factors for the identification of the vibration modes more relevant to the damage detection and for the assessment of the directionality of the damage effects. The detection capability of the MMDI method is experimentally investigated on a bridge testbed consisting of a two-column moment resisting frame. Individual and combined damages are simulated into columns and beams of the testbed through steel parts removal. The dynamic characteristics of the system in its undamaged and damaged configurations are identified upon ambient-like accelerations from a low dense sensor network. The effectiveness of the MMDI method is assessed for its ability of identifying damages without any pre-selection of vibration modes. The accuracy of the damage assessment is measured through four indicators targeting identification, false detection, localization, and severity estimation of the damages.