Assessment of a steel model truss using distributed fibre optic strain sensing. (15th September 2018)

• Record Type: Journal Article
• Authors: Van Der Kooi, Kyle; Hoult, Neil A.
• Is Part Of: Engineering structures. Volume 171(2018)
• Page Start: 557
• Page End: 568
• Publication Date: 2018-09-15
• Subjects: Distributed strain sensors -- Damage/deterioration detection -- Steel truss; Structural engineering -- Periodicals; Structural analysis (Engineering) -- Periodicals; Construction, Technique de la -- Périodiques; Génie parasismique -- Périodiques; Pression du vent -- Périodiques; Earthquake engineering; Structural engineering; Wind-pressure; Periodicals; 624.105
• DOI: 10.1016/j.engstruct.2018.05.100
• Languages: English
• ISSNs: 0141-0296

Abstract

Highlights: A model truss was constructed and instrumented with distributed strain sensors. Three joint conditions and two types of simulated deterioration were imposed. Distributed strain data enabled the impact of joint condition to be assessed. Deterioration detection was possible but was a function of fibre type and location. Abstract: Steel truss bridges are a critical part of the North American rail bridge inventory, with many being over a century old. Current assessment techniques are often based on visual inspections, which do not provide quantitative data to assess critical areas of the bridge with damage or deterioration. Distributed fibre optic strain sensors may be able to provide quantitative data to assess the effects of damaged members, different connection types, or deterioration. As a first step towards developing this technology for truss bridge assessment, a model truss bridge with three types of joint conditions and two types of simulated deterioration was monitored using two types of distributed fibre optic strain sensors while under static and cyclic loading. Although the impact of the changing joint conditions was clearly evident from displacement measurements, it was only possible to explain the difference in displacement measurements with the aid of the distributed strain data. At model scale, member continuity and joint movement played a significant role in the truss behaviour, which was evident from the strain data. Localized deterioration was detectable using dynamic distributed strain measurements although proximity to the deterioration and choice of sensing fibre influenced the accuracy of the measurements. Based on the results of the lab scale testing, distributed strain monitoring shows promise for steel railway truss bridge assessments although field trials of the monitoring technology are a required next step.