Large-Strain Optical Fiber Sensing and Real-Time FEM Updating of Steel Structures under the High Temperature Effect
Steel buildings are subjected to fire hazards during or immediately after a major earthquake. Under combined gravity and thermal loads, they have non-uniformly distributed stiffness and strength, and thus collapse progressively with large deformation. In this study, large-strain optical fiber sensors for high temperature applications and a temperature-dependent finite element model updating method are proposed for accurate prediction of structural behavior in real time. The optical fiber sensors can measure strains up to 10% at approximately 700 °C. Their measurements are in good agreement with those from strain gauges up to 0.5%. In comparison with the experimental results, the proposed model updating method can reduce the predicted strain errors from over 75% to below 20% at 800 °C. The minimum number of sensors in a fire zone that can properly characterize the vertical temperature distribution of heated air due to the gravity effect should be included in the proposed model updating scheme to achieve a predetermined simulation accuracy.
Y. Huang et al., "Large-Strain Optical Fiber Sensing and Real-Time FEM Updating of Steel Structures under the High Temperature Effect," Smart Materials and Structures, vol. 22, no. 1, IOP Publishing Ltd., Jan 2013.
The definitive version is available at http://dx.doi.org/10.1088/0964-1726/22/1/015016
Electrical and Computer Engineering
Civil, Architectural and Environmental Engineering
Keywords and Phrases
Accurate Prediction; FEM Updating; Finite-Element Model Updating; Fire Zones; Gravity Effects; Heated Air; Large Deformations; Large Strains; Model Updating; Optical Fiber Sensing; Optical Fiber Sensor; Real Time; Simulation Accuracy; Steel Buildings; Structural Behaviors; Temperature Dependent; Vertical Temperature Distribution; Computer Simulation; Finite Element Method; High Temperature Applications; High Temperature Effects; Optical Fibers; Sailing Vessels; Strain
International Standard Serial Number (ISSN)
Article - Journal
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