Eigenfrequency analysis of bridges using a smartphone and a novel low-cost accelerometer prototype

Researchers are paying increasing attention to the development of low-cost and microcontroller-based accelerometers, in order to make structural health monitoring feasible for conventional bridges with limited monitoring budget. Parallel with the low-cost sensor development, the use of the embedded...

Full description

Saved in:
Bibliographic Details
Published in:Frontiers of Structural and Civil Engineering 2024, Vol.18 (2), p.202-215
Main Authors: Komarizadehasl, Seyedmilad, Xia, Ye, Komary, Mahyad, Lozano, Fidel
Format: Article
Language:English
Subjects:
Accelerometers
Cities
Civil Engineering
Cost analysis
Countries
Engineering
Internet of Things
Low cost
Pedestrian bridges
Regions
Research Article
Resonant frequencies
Smartphones
Structural health monitoring
Citations: Items that this one cites
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Researchers are paying increasing attention to the development of low-cost and microcontroller-based accelerometers, in order to make structural health monitoring feasible for conventional bridges with limited monitoring budget. Parallel with the low-cost sensor development, the use of the embedded accelerometers of smartphones for eigenfrequency analysis of bridges is becoming popular in the civil engineering literature. This paper, for the first time in the literature, studies these two promising technologies by comparing the noise density and eigenfrequency analysis of a self-developed, validated and calibrated low-cost Internet of things based accelerometer LARA (low cost adaptable reliable accelerometer) with those of a state of the art smartphone (iPhone XR). The eigenfrequency analysis of a footbridge in San Sebastian, Spain, showed that the embedded accelerometer of the iPhone XR can measure the natural frequencies of the under study bridge.
ISSN:2095-2430
2095-2449
DOI:10.1007/s11709-024-1055-5