Skip navigation
Please use this identifier to cite or link to this item: http://arks.princeton.edu/ark:/88435/dsp01ff365757n
 Title: Strain-based monitoring methods for beam-like structures Authors: Sigurdardottir, Dorotea Hoeg Advisors: Glisic, Branko Contributors: Civil and Environmental Engineering Department Keywords: Deformed ShapeFiber-Optic SensorsLong-Gauge Strain SensorsNeutral Axis LocationSteel and Concrete BridgesStructural Health Monitoring Subjects: Civil engineering Issue Date: 2015 Publisher: Princeton, NJ : Princeton University Abstract: In this thesis Structural Health Monitoring (SHM) is defined as the process of periodically or continuously measuring structural parameters over time and the consequent analysis, with the aim of providing actionable information on structural performance. This work is motivated by the need for network-wide SHM of typical structures. Strain based SHM methods are explored with the main focus on the location of neutral axis and the deformed shape of beam-like structures. SHM methods for evaluation of these two parameters are developed, including detailed uncertainty analyses. Additionally, an exploration of several other parameters is presented through a case study. Strain data from two full-scale in-service structures, a large-scale test structure, and a laboratory specimen were used to validate the methods and assess their limitations. The main conclusions are that: 1) repeated short-term measurements are ideal, since they are less influenced by temperature and rheological effects; 2) the neutral axis location varies in healthy structures and it is sensitive to damage and other unusual structural behaviors; 3) uncertainty in the deformed shape was predicted prior to data acquisition; and 4) for vertical displacement evaluations, a detailed analysis of the boundary conditions is necessary. URI: http://arks.princeton.edu/ark:/88435/dsp01ff365757n Alternate format: The Mudd Manuscript Library retains one bound copy of each dissertation. Search for these copies in the library's main catalog Type of Material: Academic dissertations (Ph.D.) Language: en Appears in Collections: Civil and Environmental Engineering

Files in This Item:
File Description SizeFormat
Sigurdardottir_princeton_0181D_11331.pdf28.27 MBAdobe PDF

Items in Dataspace are protected by copyright, with all rights reserved, unless otherwise indicated.