Large-Strain Optical Fiber Sensing and Real-Time FEM Updating of Steel Structures under the High Temperature Effect

Abstract

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.

Department(s)

Electrical and Computer Engineering

Second Department

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)

0964-1726

Document Type

Article - Journal

Document Version

Citation

File Type

text

Language(s)

English

Rights

© 2013 IOP Publishing Ltd., All rights reserved.

Publication Date

01 Jan 2013

Share

 
COinS