Work

A full computational framework for the temperature analysis of a flax-reinforced composite footbridge with field monitoring validation

Year: 2024

Type: article

Abstract: This research presents a computational framework for predicting temperatures in flax-reinforced composite sandwich footbridges. The case study is a 15m-span footbridge situated in Almere, the Netherlands, instrumented with 82 fiber Bragg grating (FBG) sensors and 8 thermocouples within an IoT-based structural health monitoring (SHM) system, enabling real-time evaluation. The methodology involves environmental data, point-by-point solar radiation analysis with sun sheltering, and thermal properties characterization, culminating in a numerical analysis using Abaqus. A kd-tree binary search is performed previous to the numerical analysis to solve compatibility between Abaqus and Rhino’s meshing algorithms. The non-uniform heat flux is used as input for the numerical analysis and handled through UEXTERNALDB and DFLUX subroutines. Verification against in-situ measurements demonstrates the framework's efficacy. Finally, the results are used to compensate strain measurements from FBG sensors for temperature effects. This work enhances the understanding of structural temperature distributions in FRP sandwich cross-sections for bridge engineering applications.

Source: Results in Engineering

DOI: 10.1016/j.rineng.2024.102718

Authors: Marco Manconi, S.P.G. Faas Moonen

Institution: Eindhoven University of Technology

Language: English

Topic: Structural Health Monitoring Techniques

Subfield: Civil and Structural Engineering

Field: Engineering

Domain: Physical Sciences

SDGs: Industry, innovation and infrastructure, Sustainable cities and communities

Open Access status: gold

Estimated APC paid: $1,490