Determination Method of Bridge Rotation Angle Response Using MEMS IMU

To implement steel bridge maintenance, especially that related to fatigue damage, it is important to monitor bridge deformations under traffic conditions. Bridges deform and rotate differently under traffic load conditions because their structures differ in terms of length and flexibility. Such monitoring enables the identification of the cause of stress concentrations that cause fatigue damage and the proposal of appropriate countermeasures. However, although bridge deformation monitoring requires observations of bridge angle response as well as the bridge displacement response, measuring the rotation angle response of a bridge subject to traffic loads is difficult. Theoretically, the rotation angle response can be calculated by integrating the angular velocity, but for field measurements of actual in-service bridges, estimating the necessary boundary conditions would be difficult due to traffic-induced vibration. To solve the problem, this paper proposes a method for determining the rotation angle response of an in-service bridge from its angular velocity, as measured by a inertial measurement unit (IMU). To verify our proposed method, field measurements were conducted using nine micro-electrical mechanical systems (MEMS) IMUs and two contact displacement gauges. The results showed that our proposed method provided high accuracy when compared to the reference responses calculated by the contact displacement gauges.

[1]  Chitoshi Miki,et al.  Technique for Determining Bridge Displacement Response Using MEMS Accelerometers , 2016, Sensors.

[2]  Hisao Kikuta,et al.  Bridge deflection measurement using digital image correlation , 2007 .

[3]  Xingmin Hou,et al.  Using Inclinometers to Measure Bridge Deflection , 2005 .

[4]  Sung-Han Sim,et al.  Extension of indirect displacement estimation method using acceleration and strain to various types of beam structures , 2014 .

[5]  Ki-Tae Park,et al.  The determination of bridge displacement using measured acceleration , 2005 .

[6]  Hyo Seon Park,et al.  A Wireless MEMS-Based Inclinometer Sensor Node for Structural Health Monitoring , 2013, Sensors.

[7]  Satoru Yoneyama,et al.  Bridge Deflection Measurement Using Digital Image Correlation with Camera Movement Correction , 2012 .

[8]  Jong-Jae Lee,et al.  A vision-based system for remote sensing of bridge displacement , 2006 .

[9]  Sehwan Kim,et al.  Real-time remote monitoring: the DuraMote platform and experiments towards future, advanced, large-scale SCADA systems , 2015 .

[10]  Yang Wang,et al.  Performance monitoring of the Geumdang Bridge using a dense network of high-resolution wireless sensors , 2006, Smart Materials and Structures.

[11]  Sung-Han Sim,et al.  Development of a Wireless Displacement Measurement System Using Acceleration Responses , 2013, Sensors.

[12]  Robert J. Dexter,et al.  Fatigue and Fracture , 1999 .

[13]  Gul Agha,et al.  Enabling framework for structural health monitoring using smart sensors , 2011 .

[14]  Qian Dong-sheng On Fatigue and Fracture of Steel Bridges , 2009 .

[15]  Hani Nassif,et al.  Bridge Displacement Estimates from Measured Acceleration Records , 2007 .

[16]  Gul Agha,et al.  Reliable multi-hop communication for structural health monitoring , 2010 .

[17]  Fang Liu,et al.  Bridge continuous deformation measurement technology based on fiber optic gyro , 2016 .

[18]  Celal N. Kostem,et al.  Displacement induced fatigue cracks , 1979 .

[19]  Hani Nassif,et al.  Comparison of laser Doppler vibrometer with contact sensors for monitoring bridge deflection and vibration , 2005 .

[20]  Shamim N. Pakzad,et al.  Statistical Analysis of Vibration Modes of a Suspension Bridge Using Spatially Dense Wireless Sensor Network , 2009 .

[21]  Richard J. Vaccaro,et al.  A State‐Space Approach for Deriving Bridge Displacement from Acceleration , 2008, Comput. Aided Civ. Infrastructure Eng..

[22]  Sung-Han Sim,et al.  Wireless displacement sensing system for bridges using multi-sensor fusion , 2014 .