Damage detection and calibration from beam-moving oscillator interaction employing surface roughness

被引：31

作者：

Jaksic, V. ^{[1
]}

Connor, A. O' ^{[2
]}

Pakrashi, V. ^{[1
]}

机构：

[1] Univ Coll Cork, Sch Engn, Dynam Syst & Risk Lab, Cork, Ireland

[2] Trinity Coll Dublin, Dept Civil Struct & Environm Engn, Dublin, Ireland

来源：

JOURNAL OF SOUND AND VIBRATION | 2014年 / 333卷 / 17期

关键词：

BRIDGE-VEHICLE INTERACTION; DYNAMIC-RESPONSE; CRACK DETECTION; HURST EXPONENT; IDENTIFICATION; VIBRATION; LOCATION; MODEL;

D O I：

10.1016/j.jsv.2014.04.009

中图分类号：

O42 [声学];

学科分类号：

070206 ; 082403 ;

摘要：

The possibility of employing bridge deck surface roughness for Structural Health Monitoring (SHM) under operational conditions is proposed in this paper. A bilinear breathing crack in a damaged Euler Bernoulli beam traversed by a moving oscillator is considered in this regard. The Road Surface Roughness (RSR) of the beam is classified as per ISO 8606:1995(E). The interaction of the moving oscillator with surface roughness is exploited to define simple, consistent, easy to implement and robust statistical descriptors to detect and calibrate the existence, the location and the extent of damage. The effects of vehicle speed and variable RSR profiles for such detection are investigated and preferable conditions for detection are identified. The proposed method is also suitable for experimental analysis where a theoretical model is not available or is not credibly ascertained. (C) 2014 Elsevier Ltd. All rights reserved.

引用

页码：3917 / 3930

页数：14

共 50 条

[31] Damage detection in bending beam using the Surface Structural Intensity measurements.
Cieslik, J
Panuszka, R
ACUSTICA, 1996, 82 : S235 - S235
[32] Detection of local specular gloss and surface roughness from black prints
Juuti, Mikko
Prykari, Tuukka
Alarousu, Erkki
Koivula, Hanna
Myllys, Markko
Lahteela, Arto
Toivakka, Martti
Timonen, Jussi
Myllyla, Risto
Peiponen, Kai-Erik
COLLOIDS AND SURFACES A-PHYSICOCHEMICAL AND ENGINEERING ASPECTS, 2007, 299 (1-3) : 101 - 108
[33] Wavelet-based damage detection method for a beam-type structure carrying moving mass
Gokdag, Hakan
STRUCTURAL ENGINEERING AND MECHANICS, 2011, 38 (01) : 81 - 97
[34] Damage detection of beam structures using quasi-static moving load induced displacement response
He, Wen-Yu
Ren, Wei-Xin
Zhu, Songye
ENGINEERING STRUCTURES, 2017, 145 : 70 - 82
[35] Damage detection of simply supported beam under effect of moving load by Hilbert-Huang transform
Liu HanBing
Nguyen HuuHung
PROGRESS IN STRUCTURE, PTS 1-4, 2012, 166-169 : 984 - 993
[36] Extracting Moving Objects from a Video by Sequential Background Detection Employing a Local Correlation Map
Miyoshi, M.
Tan, J. K.
Ishikawa, S.
2008 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN AND CYBERNETICS (SMC), VOLS 1-6, 2008, : 3364 - 3368
[37] Damage Extraction of Metro Tunnel Surface from Roughness Map Generated by Point Cloud
Ao, Xingran
Wu, Hangbin
Xu, Zhengwen
Gao, Zhiqiang
2018 26TH INTERNATIONAL CONFERENCE ON GEOINFORMATICS (GEOINFORMATICS 2018), 2018,
[38] Spatial Frequency Domain Imaging System Calibration, Correction and Application for Pear Surface Damage Detection
Luo, Yifeng
Jiang, Xu
Fu, Xiaping
FOODS, 2021, 10 (09)
[39] EMBEDDED BEAM UNDER EQUIVALENT LOAD INDUCED FROM A SURFACE MOVING LOAD
NASSAR, M
HASSEN, A
ACTA MECHANICA, 1987, 67 (1-4) : 237 - 247
[40] Improved damage detection for beam-type structures using a uniform load surface
Wang, Jialai
Qiao, Pizhong
STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL, 2007, 6 (02): : 99 - 110

← 1 2 3 4 5 →