NDLI: Modeling and assessment of bridge structure for seismic hazard prevention

Content Provider	Springer Nature Link
Author	Lin, Jeng Wen Chen, Cheng Wu Chung, Shang Heng
Copyright Year	2011
Abstract	This study uses data from Mao-Luo-Hsi Bridge to model the bridge structure and a set of developed alarm and action values to formulate guidelines for bridge maintenance and seismic hazard prevention. The bridge model is improved by incorporating on-site ambient vibration measurement to perform modal analyses. Dynamic analyses of the bridge are implemented using the established 3D model subjected to uniform loading and seismic force, with or without consideration of soil interaction with the structure. The maximum displacements for different sections of the bridge are compared, and statistical regression analyses are used to explore their correlation. Information for bridge safety assessment is proposed, which can mitigate loss of property and lives due to bridge failure. Regression analyses of the maximum displacements between abutments D and E of the considered bridge in the axial, horizontal, and vertical directions under various seismic intensities are conducted, giving R $^{2}$ values of 0.9462, 0.9352, and 0.9010, respectively. The developed maintenance guidelines are reliable since all parameters from regression analyses have a 95% confidence interval excluding the zero value. The bridge alarm value and action value are determined for this bridge site at earthquake intensity scales of 4 and 5, respectively.
Starting Page	1115
Ending Page	1126
Page Count	12
File Format	PDF
ISSN	0921030X
Journal	Natural Hazards
Volume Number	61
Issue Number	3
e-ISSN	15730840
Language	English
Publisher	Springer Netherlands
Publisher Date	2011-09-16
Publisher Place	Dordrecht
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Assessment Bridge maintenance Seismic hazard Statistical regression Structural modeling Natural Hazards Civil Engineering Geophysics/Geodesy Environmental Management Hydrogeology Geotechnical Engineering & Applied Earth Sciences
Content Type	Text
Resource Type	Article
Subject	Atmospheric Science Water Science and Technology

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