Title

Measuring and modelling the thermal performance of the Tamar Suspension Bridge using a wireless sensor network

Publication Type

Journal Article

Publication Date

1-2014

Abstract

A study on the thermal performance of the Tamar Suspension Bridge deck in Plymouth, UK, is presented in this paper. Ambient air, suspension cable, deck and truss temperatures were acquired using a wired sensor system. Deck extension data were acquired using a two-hop wireless sensor network. Empirical models relating the deck extension to various combinations of temperatures were derived and compared. The most accurate model, which used all the four temperature variables, predicted the deck extension with an accuracy of 99.4%. Time delays ranging from 10 to 66 min were identified between the daily cycles of the air temperature and of the structural temperatures and deck extension. However, accounting for these delays in the temperature–extension models did not improve the models' prediction accuracy. The results of this study suggest that bridge design recommendations are based on overly simplistic assumptions which could result in significant errors in the estimated deck movement, especially for temperature extremes. These findings aim to help engineers better understand the important aspect of thermal performance of steel bridges. This paper also presents a concise study on the effective use of off-the-shelf wireless technology to support structural health monitoring of bridges.

Keywords

monitoring, structural design, suspension bridges, thermal effects, structural health monitoring, wireless sensor network

Discipline

Computer and Systems Architecture | Computer Engineering | Software Engineering

Research Areas

Software and Cyber-Physical Systems

Publication

Structure and Infrastructure Engineering

Volume

11

Issue

2

First Page

176

Last Page

193

ISSN

1573-2479

Identifier

10.1080/15732479.2013.862727

Publisher

Taylor & Francis (Routledge): STM, Behavioural Science and Public Health Titles

Creative Commons License

Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License.

Additional URL

http://dx.doi.org/10.1080/15732479.2013.862727

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