TY - GEN
T1 - Value of monitoring data for long-span bridge operation - aerodynamic point of view
AU - Kim, Ho Kyung
AU - Kim, Sunjoong
AU - Kim, Sejin
AU - Jung, Woonghee
N1 - Publisher Copyright:
© 2018 Taylor & Francis Group, London, UK.
PY - 2018
Y1 - 2018
N2 - Wind-induced unexpected events for cable-supported bridges are introduced for the purpose of sharing authors’ experiences regarding to data utilization for cause investigation, securing countermeasures, and design feedbacks. The events include two cases of vortex-induced vibration and one case of rollover accident of running vehicle over the bridge deck. The utilized data include the basic acceleration and wind speed data, but wind tunnel tests, data processing techniques, system identification with operational modal analysis (OMA), Measure-Correlate-Predict analysis, and Long Short-term Memory were applied to increase the value of data obtained. The results demonstrate that the damping identification from OMA is an essential issue as a serviceability performance index for flexible long-span bridge. Also, the vulnerability assessment procedure of running vehicle to strong side wind can be utilized for the effective traffic control by utilizing long-term and short-term wind speed data. By these way, examples of increasing the value of data for long-span bridge operation are demonstrated in an aerodynamic point of view.
AB - Wind-induced unexpected events for cable-supported bridges are introduced for the purpose of sharing authors’ experiences regarding to data utilization for cause investigation, securing countermeasures, and design feedbacks. The events include two cases of vortex-induced vibration and one case of rollover accident of running vehicle over the bridge deck. The utilized data include the basic acceleration and wind speed data, but wind tunnel tests, data processing techniques, system identification with operational modal analysis (OMA), Measure-Correlate-Predict analysis, and Long Short-term Memory were applied to increase the value of data obtained. The results demonstrate that the damping identification from OMA is an essential issue as a serviceability performance index for flexible long-span bridge. Also, the vulnerability assessment procedure of running vehicle to strong side wind can be utilized for the effective traffic control by utilizing long-term and short-term wind speed data. By these way, examples of increasing the value of data for long-span bridge operation are demonstrated in an aerodynamic point of view.
UR - http://www.scopus.com/inward/record.url?scp=85067063308&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:85067063308
SN - 9781138730458
T3 - Maintenance, Safety, Risk, Management and Life-Cycle Performance of Bridges - Proceedings of the 9th International Conference on Bridge Maintenance, Safety and Management, IABMAS 2018
SP - 130
EP - 140
BT - Maintenance, Safety, Risk, Management and Life-Cycle Performance of Bridges - Proceedings of the 9th International Conference on Bridge Maintenance, Safety and Management, IABMAS 2018
A2 - Powers, Nigel
A2 - Frangopol, Dan M.
A2 - Al-Mahaidi, Riadh
A2 - Caprani, Colin
PB - CRC Press/Balkema
T2 - 9th International Conference on Bridge Maintenance, Safety and Management, IABMAS 2018
Y2 - 9 July 2018 through 13 July 2018
ER -