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In-Situ Data-Driven Buffeting Response Analysis of a Cable-Stayed Bridge
To analytically evaluate buffeting responses, the analysis of wind characteristics such as turbulence intensity, turbulence length, gust, and roughness coefficient must be a priority. The analytical buffeting response is affected by the static aerodynamic force coefficient, flutter coefficient, stru...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6679044/ https://www.ncbi.nlm.nih.gov/pubmed/31295939 http://dx.doi.org/10.3390/s19143048 |
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author | Kim, Sehoon Jung, Hyunjun Kong, Min Joon Lee, Deok Keun An, Yun-Kyu |
author_facet | Kim, Sehoon Jung, Hyunjun Kong, Min Joon Lee, Deok Keun An, Yun-Kyu |
author_sort | Kim, Sehoon |
collection | PubMed |
description | To analytically evaluate buffeting responses, the analysis of wind characteristics such as turbulence intensity, turbulence length, gust, and roughness coefficient must be a priority. The analytical buffeting response is affected by the static aerodynamic force coefficient, flutter coefficient, structural damping ratio, aerodynamic damping ratio, and natural frequencies of the bridge. The cable-stayed bridge of interest in this study has been used for 32 years. In that time, the terrain conditions around the bridge have markedly changed from the conditions when the bridge was built. Further, the wind environments have varied considerably due to climate change. For these reasons, the turbulence intensity, length, spectrum coefficient, and roughness coefficient of the bridge site must be evaluated from full-scale measurements using a structural health monitoring system. Although the bridge is located on a coastal area, the evaluation results indicated that the wind characteristics of bridge site were analogous to those of open terrain. The buffeting response of the bridge was analyzed using the damping ratios, static aerodynamic force coefficients, and natural frequencies obtained from measured data. The analysis was performed for four cases. Two case analyses were performed by applying the variables obtained from measured data, while two other case analyses were performed based on the Korean Society of Civil Engineers (KSCE) Design Guidelines for Steel Cable Supported Bridges. The calculated responses of each analysis case were compared with the buffeting response measured at wind speeds of less than 25 m/s. The responses obtained by numerical analysis using estimated variables based on full-scale measurements agreed well with the measured buffeting responses measured at wind speeds of less than 25 m/s. Moreover, an extreme wind speed of 44 m/s, corresponding to a recurrence interval of 200 years, was derived from the Gumbel distribution. Therefore, the buffeting responses at wind speeds of 45 m/s were also determined by applying the estimated variables. From these results, management criteria based on measurement data for in-service bridge are determined and each level of management is proposed. |
format | Online Article Text |
id | pubmed-6679044 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-66790442019-08-19 In-Situ Data-Driven Buffeting Response Analysis of a Cable-Stayed Bridge Kim, Sehoon Jung, Hyunjun Kong, Min Joon Lee, Deok Keun An, Yun-Kyu Sensors (Basel) Article To analytically evaluate buffeting responses, the analysis of wind characteristics such as turbulence intensity, turbulence length, gust, and roughness coefficient must be a priority. The analytical buffeting response is affected by the static aerodynamic force coefficient, flutter coefficient, structural damping ratio, aerodynamic damping ratio, and natural frequencies of the bridge. The cable-stayed bridge of interest in this study has been used for 32 years. In that time, the terrain conditions around the bridge have markedly changed from the conditions when the bridge was built. Further, the wind environments have varied considerably due to climate change. For these reasons, the turbulence intensity, length, spectrum coefficient, and roughness coefficient of the bridge site must be evaluated from full-scale measurements using a structural health monitoring system. Although the bridge is located on a coastal area, the evaluation results indicated that the wind characteristics of bridge site were analogous to those of open terrain. The buffeting response of the bridge was analyzed using the damping ratios, static aerodynamic force coefficients, and natural frequencies obtained from measured data. The analysis was performed for four cases. Two case analyses were performed by applying the variables obtained from measured data, while two other case analyses were performed based on the Korean Society of Civil Engineers (KSCE) Design Guidelines for Steel Cable Supported Bridges. The calculated responses of each analysis case were compared with the buffeting response measured at wind speeds of less than 25 m/s. The responses obtained by numerical analysis using estimated variables based on full-scale measurements agreed well with the measured buffeting responses measured at wind speeds of less than 25 m/s. Moreover, an extreme wind speed of 44 m/s, corresponding to a recurrence interval of 200 years, was derived from the Gumbel distribution. Therefore, the buffeting responses at wind speeds of 45 m/s were also determined by applying the estimated variables. From these results, management criteria based on measurement data for in-service bridge are determined and each level of management is proposed. MDPI 2019-07-10 /pmc/articles/PMC6679044/ /pubmed/31295939 http://dx.doi.org/10.3390/s19143048 Text en © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Kim, Sehoon Jung, Hyunjun Kong, Min Joon Lee, Deok Keun An, Yun-Kyu In-Situ Data-Driven Buffeting Response Analysis of a Cable-Stayed Bridge |
title | In-Situ Data-Driven Buffeting Response Analysis of a Cable-Stayed Bridge |
title_full | In-Situ Data-Driven Buffeting Response Analysis of a Cable-Stayed Bridge |
title_fullStr | In-Situ Data-Driven Buffeting Response Analysis of a Cable-Stayed Bridge |
title_full_unstemmed | In-Situ Data-Driven Buffeting Response Analysis of a Cable-Stayed Bridge |
title_short | In-Situ Data-Driven Buffeting Response Analysis of a Cable-Stayed Bridge |
title_sort | in-situ data-driven buffeting response analysis of a cable-stayed bridge |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6679044/ https://www.ncbi.nlm.nih.gov/pubmed/31295939 http://dx.doi.org/10.3390/s19143048 |
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