For Libraries For Publication Open Access Downloads About Us Contact Us
Paper Titles
Research on the Simulation of Hygrothermal Distribution of Stone Wool ETICS
p.111
Experimental Investigation on the Seismic Performance of a Chinese Traditional Wooden Pagoda
p.119
Hydrodynamic Pressure on Submerged Floating Tunnel under the P-Wave
p.125
Influence of the Step Elevation on Blasting Seismic Wave
p.131
Seismic Fragility Analysis for Typical Multi-Span Simply Supported Railway Box Girder Bridges
p.137
Elastic-Plastic Time History Analysis of MR Damping Structure Based on LQG Algorithm
p.145
Rate Correlation Research Situation of Ordinary Concrete about Strain-Rate within the Scope of the Earthquake
p.151
Study on Dynamic Characteristic and Seismic Response of Long-Span Suspension Bridge with 1960 MPa Cable Wire
p.157
Conflict Fusion Analysis on Earthquake-Damaged Risk Evidences for Underground Structure
p.163

Seismic Fragility Analysis for Typical Multi-Span Simply Supported Railway Box Girder Bridges

Article Preview

Abstract:

Fragility curves for typical multi-span simply supported concrete box girder bridges in eastern China are presented. A set of bridge samples, of which five uncertain parameters are considered, is established using the Latin hypercube sampling. Nonlinear time history analyses are conducted to capture the structural response quantities. Probabilistic seismic demand models are formulated by quadratic regression analysis for the capacity/demand ratios. Fragility curves of bridge components are developed and the fragility of bridge system is evaluated using the first-order bound method. The results show that the columns and expansion bearings among bridge members are more fragile under earthquake excitation, and the bridge system is more fragile than any bridge component. The typical bridges have more than 50% probability when subjected to PGAs of 0.46, 0.58, 0.82, and 1.0g for four damage states, respectively. The fragility curves can be used for retrofit prioritization for this type of bridges.

You might also be interested in these eBooks
Civil, Architectural, Structural and Constructional Engineering View Preview

Info:

Periodical:

Applied Mechanics and Materials (Volume 858)

Pages:

137-144

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.858.137

Citation:

Cite this paper

Online since:

November 2016

Authors:

Yun Dan Wu, Xiao Yao, Shi Jun Zhou*

Keywords:

Box Girder Bridge, Fragility, Nonlinear Analysis, Probabilistic Seismic Demand Model, Railway, Seismic

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

© 2017 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

* - Corresponding Author

References

[1] ATC, Seismic vulnerability and impact of disruption of lifelines in the Coterminous United States, Redwood City, CA: Applied Technology Council, (1991).

Google Scholar

[2] H. Hwang, J. B. Jernigan, Y. W. Lin, Evaluation of seismic damage to Memphis bridges and highway systems, ASCE J. Bridge Eng. 5(4) (2000) 322-330.

DOI: 10.1061/(asce)1084-0702(2000)5:4(322)

Google Scholar

[3] M. Shinozuka, M. Q. Feng, H. Kim, S. Kim, Nonlinear static procedure for fragility curve development, J. Eng. Mech. 126(12) (2000) 1287-1295.

DOI: 10.1061/(asce)0733-9399(2000)126:12(1287)

Google Scholar

[4] B. G. Nielson, R. DesRoches, Seismic fragility curves for typical highway bridge classes in the Central and Southeastern United States, Earthq. Spectra, 23 (2007) 615-633.

DOI: 10.1193/1.2756815

Google Scholar

[5] B. G. Nielson, R. DesRoches, Seismic fragility methodology for highway bridges using a component level approach, Earthq. Eng. Struct. Dynam. 36(6) (2007) 823-839.

DOI: 10.1002/eqe.655

Google Scholar

[6] J. E. Padgett, R. DesRoches, Methodology for the development of analytical fragility curves for retrofitted bridges, Earthq. Eng. Struct. Dynam. 37(8) (2008) 157-174.

DOI: 10.1002/eqe.801

Google Scholar

[7] Y. Pan, A. K. Agrawal, M. Ghosn, S. Alampalli, Seismic fragility of multi-span simply supported steel highway bridges in New York State. I: Bridge modeling, parametric analysis, and retrofit design, ASCE J. Bridge Eng. 15(5) (2010) 448-461.

DOI: 10.1061/(asce)be.1943-5592.0000085

Google Scholar

[8] Y. Pan, A. K. Agrawal, M. Ghosn, S. Alampalli, Seismic fragility of multi-span simply supported steel highway bridges in New York State. II: Fragility analysis, fragility curves, and fragility surfaces, ASCE J. Bridge Eng. 15(5) (2010) 462-472.

DOI: 10.1061/(asce)be.1943-5592.0000055

Google Scholar

[9] HAZUS-MH 2. 1, Multi-Hazard Loss Estimation Methodology: Earthquake Model HAZUS-MH 2. 1 Technical Manual, Washington, DC: Federal Emergency Management Agency, (2012).

DOI: 10.17077/etd.18d7eydp

Google Scholar

[10] National Bureau of Statistics of China, China statistical yearbook 2015, Beijing, China Statistics Press Inc., (2016).

Google Scholar

[11] E. Chio, Seismic analysis and retrofit of mid-America bridges. Georgia Institute of Technology, Atlanta, GA, (2002).

Google Scholar

[12] CALTRANS, Seismic design criteria, CA: California Department of Transportation, (2013).

Google Scholar

[13] N. Shome, C. A. Cornell, P. Bazzurro, J. E. Caraballo, Earthquakes, records, and nonlinear responses, EERI Earthq. Spectra, 14(3) (1998) 467-500.

DOI: 10.1193/1.1586011

Google Scholar

[14] B. G. Nielson, R. DesRoches, Effect of using PGA versus Sa on the uncertainty in probabilistic seismic demand models of highway bridges, 8th National Conference on Earthquake Engineering, Earthquake Engineering Research Institute, San Francisco, (2006).

Google Scholar

[15] C. A. Cornell, Bounds on the reliability of structural system, J. Struct. Div., 93(1) (1996) 171-200.

Google Scholar

© 2025 Trans Tech Publications Ltd. All rights are reserved, including those for text and data mining, AI training, and similar technologies. For open access content, terms of the Creative Commons licensing CC-BY are applied.
Scientific.Net is a registered trademark of Trans Tech Publications Ltd.