Mr. Sean M. O'Connor Profile

Sean M. O'Connor

at Univ of Michigan

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Author

Publications (5)

Proceedings Article | 1 April 2015 Paper

Automated outlier detection framework for identifying damage states in multi-girder steel bridges using long-term wireless monitoring data

Sean O'Connor, Yilan Zhang, Jerome Lynch

Proceedings Volume 9437, 94370N (2015) https://doi.org/10.1117/12.2086273

KEYWORDS: Bridges, Sensors, Data modeling, Data processing, Composites, General packet radio service, Corrosion, Statistical analysis, Data storage, Structural health monitoring

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Proceedings Article | 10 April 2014 Paper

Automated analysis of long-term bridge behavior and health using a cyber-enabled wireless monitoring system

Sean O'Connor, Yilan Zhang, Jerome Lynch, Mohammed Ettouney, Gwen van der Linden

Proceedings Volume 9063, 90630Y (2014) https://doi.org/10.1117/12.2045244

KEYWORDS: Bridges, Sensors, Data modeling, Composites, Structural health monitoring, Data acquisition, Inspection, Sensor networks, Roads, Damage detection

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A worthy goal for the structural health monitoring field is the creation of a scalable monitoring system architecture that abstracts many of the system details (e.g., sensors, data) from the structure owner with the aim of providing “actionable” information that aids in their decision making process. While a broad array of sensor technologies have emerged, the ability for sensing systems to generate large amounts of data have far outpaced advances in data management and processing. To reverse this trend, this study explores the creation of a cyber-enabled wireless SHM system for highway bridges. The system is designed from the top down by considering the damage mechanisms of concern to bridge owners and then tailoring the sensing and decision support system around those concerns. The enabling element of the proposed system is a powerful data repository system termed SenStore. SenStore is designed to combine sensor data with bridge meta-data (e.g., geometric configuration, material properties, maintenance history, sensor locations, sensor types, inspection history). A wireless sensor network deployed to a bridge autonomously streams its measurement data to SenStore via a 3G cellular connection for storage. SenStore securely exposes the bridge meta- and sensor data to software clients that can process the data to extract information relevant to the decision making process of the bridge owner. To validate the proposed cyber-enable SHM system, the system is implemented on the Telegraph Road Bridge (Monroe, MI). The Telegraph Road Bridge is a traditional steel girder-concrete deck composite bridge located along a heavily travelled corridor in the Detroit metropolitan area. A permanent wireless sensor network has been installed to measure bridge accelerations, strains and temperatures. System identification and damage detection algorithms are created to automatically mine bridge response data stored in SenStore over an 18-month period. Tools like Gaussian Process (GP) regression are used to predict changes in the bridge behavior as a function of environmental parameters. Based on these analyses, pertinent behavioral information relevant to bridge management is autonomously extracted.

Proceedings Article | 11 April 2013 Paper

Implementation of a compressive sampling scheme for wireless sensors to achieve energy efficiency in a structural health monitoring system

Sean O'Connor, Jerome Lynch, Anna Gilbert

Proceedings Volume 8694, 86941L (2013) https://doi.org/10.1117/12.2010128

KEYWORDS: Sensors, Compressed sensing, Bridges, Structural health monitoring, Energy efficiency, Data acquisition, Reconstruction algorithms, Wireless communications, Magnetic sensors, Modal analysis

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Proceedings Article | 5 April 2012 Paper

Finite Element model updating of a skewed highway bridge using a multi-variable sensitivity-based optimization approach

Amir Mosavi, Hassan Sedarat, Sean O'Connor, Abbas Emami-Naeini, Vince Jacob, Alex Krimotat, Jerome Lynch

Proceedings Volume 8347, 834727 (2012) https://doi.org/10.1117/12.916163

KEYWORDS: Bridges, Calibration, Process modeling, Sensors, Optimization (mathematics), Finite element methods, Composites, Matrices, Data modeling, Shape analysis

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Proceedings Article | 9 April 2010 Paper

Behavior of full-scale concrete segmented pipelines under permanent ground displacements

Junhee Kim, Sean O'Connor, Srinivasa Nadukuru, Jerome Lynch, Radoslaw Michalowski, Russell Green, Mohammed Pour-Ghaz, W. Jason Weiss, Aaron Bradshaw

Proceedings Volume 7650, 76500U (2010) https://doi.org/10.1117/12.847735

KEYWORDS: Sensors, Earthquakes, Actuators, Epoxies, Data acquisition, Landslide (networking), Optical inspection, Soil science, Civil engineering, Inspection

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