کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
266756 504375 2014 11 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Structural health monitoring with statistical methods during progressive damage test of S101 Bridge
موضوعات مرتبط
مهندسی و علوم پایه علوم زمین و سیارات مهندسی ژئوتکنیک و زمین شناسی مهندسی
پیش نمایش صفحه اول مقاله
Structural health monitoring with statistical methods during progressive damage test of S101 Bridge
چکیده انگلیسی


• The S101 Bridge, a prestressed concrete bridge, was damaged in a large scale progressive damage test.
• Ambient vibration measurements during damage test provide a benchmark for monitoring algorithms.
• Two algorithms are evaluated that take the intrinsic uncertainty in the data into account.
• An identification and a detection approach are considered, both subspace-based.
• The structural changes during the progressive damage test can be clearly detected.

For the last decades vibration based damage detection of engineering structures has become an important issue for maintenance operations on transport infrastructure. Research in vibration based structural damage detection has been rapidly expanding from classic modal parameter estimation to modern operational monitoring. Since structures are subject to unknown ambient excitation in operation conditions, all estimates from the finite data measurements are of statistical nature. The intrinsic uncertainty due to finite data length, colored noise, non-stationary excitations, model order reduction or other operational influences needs to be considered for robust and automated structural health monitoring methods. In this paper, two subspace-based methods are considered that take these statistical uncertainties into account, first modal parameter and their confidence interval estimation for a direct comparison of the structural states, and second a statistical null space based damage detection test that completely avoids the identification step. The performance of both methods is evaluated on a large scale progressive damage test of a prestressed concrete road bridge, the S101 Bridge in Austria. In an on-site test, ambient vibration data of the S101 Bridge was recorded while different damage scenarios were introduced on the bridge as a benchmark for damage identification. It is shown that the proposed damage detection methodology is able to clearly indicate the presence of structural damage, if the damage leads to a change of the structural system.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Engineering Structures - Volume 69, 15 June 2014, Pages 183–193
نویسندگان
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