Study and Design Optimization of Fiber Bragg Grating Based Wind Pressure Sensor
A Fiber Bragg Grating (FBG) based wind pressure sensor (WPS) for structural surfaces is introduced, and wind pressure-strain conversion model as well as temperature compensation method is established. By using finite element analysis, the design of the wind-bearing carrier of the WPS is optimized su...
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2015-06-01
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Series: | International Journal of Distributed Sensor Networks |
Online Access: | https://doi.org/10.1155/2015/745346 |
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doaj-f7a2b006d158484698aad558a1c56d6e2020-11-25T03:33:14ZengSAGE PublishingInternational Journal of Distributed Sensor Networks1550-14772015-06-011110.1155/2015/745346745346Study and Design Optimization of Fiber Bragg Grating Based Wind Pressure SensorDanhui Dan0Rong Xiao1Wulong Bai2XueLei Wen3 Department of Bridge Engineering, Tongji University, Shanghai 200092, China Shanghai Municipal Engineering Design & Research Institute, Shanghai 200125, China Shanghai Municipal Engineering Design & Research Institute, Shanghai 200125, China Department of Bridge Engineering, Tongji University, Shanghai 200092, ChinaA Fiber Bragg Grating (FBG) based wind pressure sensor (WPS) for structural surfaces is introduced, and wind pressure-strain conversion model as well as temperature compensation method is established. By using finite element analysis, the design of the wind-bearing carrier of the WPS is optimized such that the nominal measured values by the FBGs are maximized under the action of fundamental wind pressures suggested in codes. Furthermore, sensing characteristics of the WPS, as well as its static wind safety, pressure stability, and dynamic stability during operation, are investigated. Results demonstrate that the design scheme for the WPS, which is of good object sensing properties and working performance, is technically feasible. The final prototype of WPS is developed according to the proposed optimized design scheme.https://doi.org/10.1155/2015/745346 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Danhui Dan Rong Xiao Wulong Bai XueLei Wen |
spellingShingle |
Danhui Dan Rong Xiao Wulong Bai XueLei Wen Study and Design Optimization of Fiber Bragg Grating Based Wind Pressure Sensor International Journal of Distributed Sensor Networks |
author_facet |
Danhui Dan Rong Xiao Wulong Bai XueLei Wen |
author_sort |
Danhui Dan |
title |
Study and Design Optimization of Fiber Bragg Grating Based Wind Pressure Sensor |
title_short |
Study and Design Optimization of Fiber Bragg Grating Based Wind Pressure Sensor |
title_full |
Study and Design Optimization of Fiber Bragg Grating Based Wind Pressure Sensor |
title_fullStr |
Study and Design Optimization of Fiber Bragg Grating Based Wind Pressure Sensor |
title_full_unstemmed |
Study and Design Optimization of Fiber Bragg Grating Based Wind Pressure Sensor |
title_sort |
study and design optimization of fiber bragg grating based wind pressure sensor |
publisher |
SAGE Publishing |
series |
International Journal of Distributed Sensor Networks |
issn |
1550-1477 |
publishDate |
2015-06-01 |
description |
A Fiber Bragg Grating (FBG) based wind pressure sensor (WPS) for structural surfaces is introduced, and wind pressure-strain conversion model as well as temperature compensation method is established. By using finite element analysis, the design of the wind-bearing carrier of the WPS is optimized such that the nominal measured values by the FBGs are maximized under the action of fundamental wind pressures suggested in codes. Furthermore, sensing characteristics of the WPS, as well as its static wind safety, pressure stability, and dynamic stability during operation, are investigated. Results demonstrate that the design scheme for the WPS, which is of good object sensing properties and working performance, is technically feasible. The final prototype of WPS is developed according to the proposed optimized design scheme. |
url |
https://doi.org/10.1155/2015/745346 |
work_keys_str_mv |
AT danhuidan studyanddesignoptimizationoffiberbragggratingbasedwindpressuresensor AT rongxiao studyanddesignoptimizationoffiberbragggratingbasedwindpressuresensor AT wulongbai studyanddesignoptimizationoffiberbragggratingbasedwindpressuresensor AT xueleiwen studyanddesignoptimizationoffiberbragggratingbasedwindpressuresensor |
_version_ |
1724563783767031808 |