TY - GEN
T1 - Evaluation of the coefficient of thermal expansion for a temperature driven method of structural health monitoring
AU - Reilly, J.
AU - Yarnold, M.
AU - Murphy, B.
AU - Glisic, B.
N1 - Publisher Copyright:
© 2017 International Society for Structural Health Monitoring of Intelligent Infrastrucure. All rights reserved.
PY - 2017
Y1 - 2017
N2 - Structural Health Monitoring (SHM) seeks to characterize the performance and health of a structure based on recorded sensor data and analytic techniques. In most cases, SHM entails building some relationship between mechanical loads and monitored parameters. Temperature is normally considered noise in this analysis, and many techniques seek to filter out any thermal effects during analysis. Daily thermal loads on a structure can cause comparable strains to daily traffic loads, prompting temperature's leading role in Temperature Driven (TD) - SHM. Temperature can be easily measured on structure using a variety of commercially available temperature sensors, an advantage when compared to the difficulty in measuring daily traffic loads. TD-SHM relates input temperatures readings to output strain and displacement measurements in order to create a set of damage sensitive, three-dimensional signatures for the structure. An initial stage of the formulation of TD-SHM is the evaluation of the Coefficient of Thermal Expansion (CTE) of the structure. In concrete structures the CTE can often vary over time, which complicates its evaluation. This paper presents a method for evaluation of the CTE through examination of the relationship between changing temperature and strain at different locations on the structure, and relative displacements at support. These CTE evaluations serve as a basis for understanding the thermal behaviour of the structure, and for later development of TD-SHM. The method is validated on data collected from the Streicker Bridge, on campus at Princeton University.
AB - Structural Health Monitoring (SHM) seeks to characterize the performance and health of a structure based on recorded sensor data and analytic techniques. In most cases, SHM entails building some relationship between mechanical loads and monitored parameters. Temperature is normally considered noise in this analysis, and many techniques seek to filter out any thermal effects during analysis. Daily thermal loads on a structure can cause comparable strains to daily traffic loads, prompting temperature's leading role in Temperature Driven (TD) - SHM. Temperature can be easily measured on structure using a variety of commercially available temperature sensors, an advantage when compared to the difficulty in measuring daily traffic loads. TD-SHM relates input temperatures readings to output strain and displacement measurements in order to create a set of damage sensitive, three-dimensional signatures for the structure. An initial stage of the formulation of TD-SHM is the evaluation of the Coefficient of Thermal Expansion (CTE) of the structure. In concrete structures the CTE can often vary over time, which complicates its evaluation. This paper presents a method for evaluation of the CTE through examination of the relationship between changing temperature and strain at different locations on the structure, and relative displacements at support. These CTE evaluations serve as a basis for understanding the thermal behaviour of the structure, and for later development of TD-SHM. The method is validated on data collected from the Streicker Bridge, on campus at Princeton University.
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M3 - Conference contribution
AN - SCOPUS:85050148762
T3 - SHMII 2017 - 8th International Conference on Structural Health Monitoring of Intelligent Infrastructure, Proceedings
SP - 344
EP - 350
BT - SHMII 2017 - 8th International Conference on Structural Health Monitoring of Intelligent Infrastructure, Proceedings
A2 - Mahini, Saeed
A2 - Mahini, Saeed
A2 - Chan, Tommy
PB - International Society for Structural Health Monitoring of Intelligent Infrastructure, ISHMII
T2 - 8th International Conference on Structural Health Monitoring of Intelligent Infrastructure, SHMII 2017
Y2 - 5 December 2017 through 8 December 2017
ER -