Field Validation of a Drive-By Bridge Inspection System with Wireless BWIM + NDE Devices

Brief Description of Research Project In this project, a wireless sensor network will be investigated for installation on a heavy truck to record the dynamic response of the truck as it crosses a bridge mounted with BWIM+NDE devices. The sensors installed in the vehicle include accelerometers to measure vibration and gyroscopes to capture vehicle pitching motion. As the instrumented vehicle approaches the bridge, BWIM+NDE system wirelessly establishes communication with wireless sensors on the vehicle to synchronize time and initiate data collection. As the truck crosses the bridge, the wireless sensors on the truck transmit vibration and pitching data to the wireless BWIM+NDE server for automatic integration with bridge response data. Experimental validation of the proposed wireless system will be performed both in the lab and in the field

[1]  Jerome P. Lynch,et al.  Development of an extensible dual-core wireless sensing node for cyber-physical systems , 2014, Smart Structures.

[2]  Yeong-Bin Yang,et al.  Vehicle–bridge interaction dynamics and potential applications , 2005 .

[3]  David Goldberg,et al.  The Fix We’re In For: The State of Our Nation’s Bridges 2013 , 2011 .

[4]  Eugene J. O'Brien,et al.  Drive‐by damage detection in bridges using the apparent profile , 2015 .

[5]  Yeong-Bin Yang,et al.  Use of a passing vehicle to scan the fundamental bridge frequencies: An experimental verification , 2005 .

[6]  Punya Chupanit,et al.  The Importance of Bridge Health Monitoring , 2012 .

[7]  Jerome P. Lynch,et al.  DESIGN AND VALIDATION OF ACCELERATION MEASUREMENT USING THE MARTLET WIRELESS SENSING SYSTEM , 2014 .

[8]  Nasim Uddin,et al.  Identification of Vehicular Axle Weights with a Bridge Weigh-in-Motion System Considering Transverse Distribution of Wheel Loads , 2014 .

[9]  Eugene J. O'Brien,et al.  A Review of Indirect Bridge Monitoring Using Passing Vehicles , 2015 .

[10]  Todor Cooklev.  Wireless Communication Standards: A Study of IEEE 802.11, 802.15, and 802.16 , 2004 .

[11]  Eugene J. O'Brien,et al.  Identification of damping in a bridge using a moving instrumented vehicle , 2012 .

[12]  Eugene J. O'Brien,et al.  Calculating an influence line from direct measurements , 2006 .

[13]  Eugene J. O'Brien,et al.  The use of a dynamic truck–trailer drive-by system to monitor bridge damping , 2014 .

[14]  Arturo González,et al.  Monitoring Bridge Dynamic Behaviour using an Instrumented Two Axle Vehicle , 2010 .

[15]  Yang Wang,et al.  High-Speed Heterogeneous Data Acquisition using Martlet-A Next-Generation Wireless Sensing Node , 2014 .

[16]  Yeong-Bin Yang,et al.  EXTRACTING BRIDGE FREQUENCIES FROM THE DYNAMIC RESPONSE OF A PASSING VEHICLE , 2002 .

[17]  Jer-Nan Juang,et al.  An eigensystem realization algorithm for modal parameter identification and model reduction. [control systems design for large space structures] , 1985 .

[18]  Stephen Lee Davis,et al.  The Fix We're In For: The State of Minnesota's Bridges 2015 , 2015 .

[19]  Arturo González,et al.  Detection of Bridge Dynamic Parameters Using an Instrumented Vehicle , 2010 .

[20]  Eugene J. O'Brien,et al.  Theoretical investigation of the use of a moving vehicle to identify bridge dynamic parameters , 2009 .