Prof. Michael V. Gangone Profile

Prof. Michael V. Gangone

at Univ of Texas at Tyler

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Author

Publications (9)

Proceedings Article | 27 March 2018 Paper

Impact of measurement uncertainty from experimental load distribution factors on bridge load rating

Michael Gangone, Matthew Whelan

Proceedings Volume 10599, 1059921 (2018) https://doi.org/10.1117/12.2295607

KEYWORDS: Bridges, Transducers, Factor analysis, Diagnostics, Sensors, Fourier transforms, Error analysis, Environmental sensing, Civil engineering, Diagnostic tests

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Proceedings Article | 19 April 2017 Paper

Damage identification in highway bridges using distribution factors

Michael Gangone, Matthew Whelan

Proceedings Volume 10169, 101692I (2017) https://doi.org/10.1117/12.2258240

KEYWORDS: Sensors, Transducers, Inspection, Fourier transforms, Data acquisition, Bridges, Damage detection, Diagnostics, Diagnostic tests, Civil engineering, Uncertainty analysis, Roads

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Proceedings Article | 15 April 2011 Paper

Effect of sensor placement on operational modal analysis of steel girder bridges

Matthew Whelan, Michael Gangone, Kerop Janoyan

Proceedings Volume 7982, 79820L (2011) https://doi.org/10.1117/12.880527

KEYWORDS: Sensors, Bridges, Modal analysis, Finite element methods, Structural health monitoring, Sensor networks, Fourier transforms, System identification, Digital filtering, Environmental monitoring

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Proceedings Article | 15 April 2011 Paper

Condition assessment of a bridge superstructure using diagnostic performance indicators

Michael Gangone, Matthew Whelan, Kerop Janoyan

Proceedings Volume 7982, 79820G (2011) https://doi.org/10.1117/12.880564

KEYWORDS: Bridges, Inspection, Diagnostics, Sensors, Transducers, Composites, Wheatstone bridges, Structural health monitoring, Diagnostic tests, Fourier transforms

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Proceedings Article | 7 April 2009 Paper

Wireless sensing system for bridge condition assessment and health monitoring

Michael Gangone, Matthew Whelan, Kerop Janoyan

Proceedings Volume 7293, 72930M (2009) https://doi.org/10.1117/12.815835

KEYWORDS: Bridges, Sensors, Transducers, Inspection, Damage detection, Composites, Sensing systems, Diagnostics, Optical inspection, Structural health monitoring

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Proceedings Article | 7 April 2008 Paper

Field deployment of a dense wireless sensor network for condition assessment of a bridge superstructure

Michael Gangone, Matthew Whelan, Kerop Janoyan, Ratneshwar Jha

Proceedings Volume 6933, 69330L (2008) https://doi.org/10.1117/12.776604

KEYWORDS: Bridges, Sensors, Inspection, Transducers, Sensor networks, Optical inspection, Safety, Structural health monitoring, Visualization, Diagnostics

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Proceedings Article | 7 April 2008 Paper

Wireless vibration monitoring for damage detection of highway bridges

Matthew Whelan, Michael Gangone, Kerop Janoyan, Ratneshwar Jha

Proceedings Volume 6933, 69330J (2008) https://doi.org/10.1117/12.776606

KEYWORDS: Bridges, Sensors, Sensor networks, Damage detection, Analog electronics, Digital filtering, Cements, Linear filtering, Instrument modeling, System identification

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Proceedings Article | 10 April 2007 Paper

Development of a wireless bridge monitoring system for condition assessment using hybrid techniques

Matthew Whelan, Michael Fuchs, Michael Gangone, Kerop Janoyan

Proceedings Volume 6530, 65300H (2007) https://doi.org/10.1117/12.715905

KEYWORDS: Sensors, Bridges, Transceivers, Sensor networks, Digital filtering, Structural health monitoring, Transducers, Microcontrollers, Data communications, Analog electronics

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The introduction and development of wireless sensor network technology has resulted in rapid growth within the field of structural health monitoring (SHM), as the dramatic cable costs associated with instrumentation of large civil structures is potentially alleviated. Traditionally, condition assessment of bridge structures is accomplished through the use of either vibration measurements or strain sensing. One approach is through quantifying dynamic characteristics and mode shapes developed through the use of relatively dense arrays of accelerometers. Another widely utilized method of condition assessment is bridge load rating, which is enabled through the use of strain sensors. The Wireless Sensor Solution (WSS) developed specifically for diagnostic bridge monitoring provides a hybrid system that interfaces with both accelerometers and strain sensors to facilitate vibration-based bridge evaluation as well as load rating and static analysis on a universal platform. This paper presents the development and testing of a wireless bridge monitoring system designed within the Laboratory for Intelligent Infrastructure and Transportation Technologies (LIITT) at Clarkson University. The system interfaces with low-cost MEMS accelerometers using custom signal conditioning for amplification and filtering tailored to the spectrum of typical bridge vibrations, specifically from ambient excitation. Additionally, a signal conditioning and high resolution ADC interface is provided for strain gauge sensors. To permit compensation for the influence of temperature, thermistor-based temperature sensing is also enabled. In addition to the hardware description, this paper presents features of the software applications and host interface developed for flexible, user-friendly in-network control of and acquisition from the sensor nodes. The architecture of the software radio protocol is also discussed along with results of field deployments including relatively large-scale networks and throughput rates sufficient for bridge monitoring.

Proceedings Article | 10 April 2007 Paper

Performance monitoring of a short-span integral-abutment bridge using wireless sensor technology

Michael Gangone, Matthew Whelan, Michael Fuchs, Kerop Janoyan

Proceedings Volume 6530, 65300R (2007) https://doi.org/10.1117/12.715909

KEYWORDS: Bridges, Sensors, Transducers, Finite element methods, Fourier transforms, Sensor technology, Environmental monitoring, Environmental sensing, Structural monitoring, Data modeling

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Showing 5 of 9 publications

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