Seismic restoration cost curve of curved steel bridges

Junwon Seo; Heedae Park

doi:10.1061/9780784479711.070

Seismic restoration cost curve of curved steel bridges

Junwon Seo, Heedae Park

Civil Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

2 Scopus citations

Abstract

This paper presents a risk-based seismic restoration cost curve generation framework for curved steel bridges. The framework uses response surface metamodels (RSMs) in conjunction with Monte Carlo Simulation (MCS) for the generation of seismic restoration cost curves on such bridges. The framework is applied to a sample of curved steel bridges located in low seismic areas of the United States. The combined RSM-MCS models are employed to create seismic fragility curves for the selected bridges and calculate their damage ratios. Risked-based damage factor models coupled with secondary MCS enabling the treatment of variability in damage ratios and bridge features are simulated through the RSM-based fragility curves. Resulting restoration cost curves are generated using average restoration cost data in the United States. The proposed framework is capable of efficiently estimating restoration cost for such bridges under seismic hazards and to potentially aiding in making rational decisions concerning their appropriate retrofit and rehabilitation.

Original language	English
Title of host publication	Forensic Engineering 2015
Subtitle of host publication	Performance of the Built Environment - Proceedings of the 7th Congress on Forensic Engineering
Editors	Joshua B. Kardon, Alicia E. Diaz de Leon, Anthony M. Dolhon, Michael J. Drerup, Michael P. Lester, Clemens J. Rossell
Pages	716-726
Number of pages	11
ISBN (Electronic)	9780784479711
DOIs	https://doi.org/10.1061/9780784479711.070
State	Published - 2015
Event	7th Congress on Forensic Engineering: Performance of the Built Environment - Miami, United States Duration: Nov 15 2015 → Nov 18 2015

Publication series

Name	Forensic Engineering 2015: Performance of the Built Environment - Proceedings of the 7th Congress on Forensic Engineering

Conference

Conference	7th Congress on Forensic Engineering: Performance of the Built Environment
Country/Territory	United States
City	Miami
Period	11/15/15 → 11/18/15

Bibliographical note

Publisher Copyright:
© 2016 ASCE.

Keywords

Curved steel bridges
Damage ratios
Monte Carlo simulation
Response surface metamodels
Seismic restoration cost curve

ASJC Scopus subject areas

Civil and Structural Engineering
Safety, Risk, Reliability and Quality
Building and Construction
General Earth and Planetary Sciences
Environmental Engineering
General Materials Science

Access to Document

10.1061/9780784479711.070

Cite this

Seo, J., & Park, H. (2015). Seismic restoration cost curve of curved steel bridges. In J. B. Kardon, A. E. Diaz de Leon, A. M. Dolhon, M. J. Drerup, M. P. Lester, & C. J. Rossell (Eds.), Forensic Engineering 2015: Performance of the Built Environment - Proceedings of the 7th Congress on Forensic Engineering (pp. 716-726). (Forensic Engineering 2015: Performance of the Built Environment - Proceedings of the 7th Congress on Forensic Engineering). https://doi.org/10.1061/9780784479711.070

Seo, Junwon ; Park, Heedae. / Seismic restoration cost curve of curved steel bridges. Forensic Engineering 2015: Performance of the Built Environment - Proceedings of the 7th Congress on Forensic Engineering. editor / Joshua B. Kardon ; Alicia E. Diaz de Leon ; Anthony M. Dolhon ; Michael J. Drerup ; Michael P. Lester ; Clemens J. Rossell. 2015. pp. 716-726 (Forensic Engineering 2015: Performance of the Built Environment - Proceedings of the 7th Congress on Forensic Engineering).

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title = "Seismic restoration cost curve of curved steel bridges",

abstract = "This paper presents a risk-based seismic restoration cost curve generation framework for curved steel bridges. The framework uses response surface metamodels (RSMs) in conjunction with Monte Carlo Simulation (MCS) for the generation of seismic restoration cost curves on such bridges. The framework is applied to a sample of curved steel bridges located in low seismic areas of the United States. The combined RSM-MCS models are employed to create seismic fragility curves for the selected bridges and calculate their damage ratios. Risked-based damage factor models coupled with secondary MCS enabling the treatment of variability in damage ratios and bridge features are simulated through the RSM-based fragility curves. Resulting restoration cost curves are generated using average restoration cost data in the United States. The proposed framework is capable of efficiently estimating restoration cost for such bridges under seismic hazards and to potentially aiding in making rational decisions concerning their appropriate retrofit and rehabilitation.",

keywords = "Curved steel bridges, Damage ratios, Monte Carlo simulation, Response surface metamodels, Seismic restoration cost curve",

author = "Junwon Seo and Heedae Park",

note = "Publisher Copyright: {\textcopyright} 2016 ASCE.; 7th Congress on Forensic Engineering: Performance of the Built Environment ; Conference date: 15-11-2015 Through 18-11-2015",

year = "2015",

doi = "10.1061/9780784479711.070",

language = "English",

series = "Forensic Engineering 2015: Performance of the Built Environment - Proceedings of the 7th Congress on Forensic Engineering",

pages = "716--726",

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Seo, J & Park, H 2015, Seismic restoration cost curve of curved steel bridges. in JB Kardon, AE Diaz de Leon, AM Dolhon, MJ Drerup, MP Lester & CJ Rossell (eds), Forensic Engineering 2015: Performance of the Built Environment - Proceedings of the 7th Congress on Forensic Engineering. Forensic Engineering 2015: Performance of the Built Environment - Proceedings of the 7th Congress on Forensic Engineering, pp. 716-726, 7th Congress on Forensic Engineering: Performance of the Built Environment, Miami, United States, 11/15/15. https://doi.org/10.1061/9780784479711.070

Seismic restoration cost curve of curved steel bridges. / Seo, Junwon; Park, Heedae.
Forensic Engineering 2015: Performance of the Built Environment - Proceedings of the 7th Congress on Forensic Engineering. ed. / Joshua B. Kardon; Alicia E. Diaz de Leon; Anthony M. Dolhon; Michael J. Drerup; Michael P. Lester; Clemens J. Rossell. 2015. p. 716-726 (Forensic Engineering 2015: Performance of the Built Environment - Proceedings of the 7th Congress on Forensic Engineering).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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N2 - This paper presents a risk-based seismic restoration cost curve generation framework for curved steel bridges. The framework uses response surface metamodels (RSMs) in conjunction with Monte Carlo Simulation (MCS) for the generation of seismic restoration cost curves on such bridges. The framework is applied to a sample of curved steel bridges located in low seismic areas of the United States. The combined RSM-MCS models are employed to create seismic fragility curves for the selected bridges and calculate their damage ratios. Risked-based damage factor models coupled with secondary MCS enabling the treatment of variability in damage ratios and bridge features are simulated through the RSM-based fragility curves. Resulting restoration cost curves are generated using average restoration cost data in the United States. The proposed framework is capable of efficiently estimating restoration cost for such bridges under seismic hazards and to potentially aiding in making rational decisions concerning their appropriate retrofit and rehabilitation.

AB - This paper presents a risk-based seismic restoration cost curve generation framework for curved steel bridges. The framework uses response surface metamodels (RSMs) in conjunction with Monte Carlo Simulation (MCS) for the generation of seismic restoration cost curves on such bridges. The framework is applied to a sample of curved steel bridges located in low seismic areas of the United States. The combined RSM-MCS models are employed to create seismic fragility curves for the selected bridges and calculate their damage ratios. Risked-based damage factor models coupled with secondary MCS enabling the treatment of variability in damage ratios and bridge features are simulated through the RSM-based fragility curves. Resulting restoration cost curves are generated using average restoration cost data in the United States. The proposed framework is capable of efficiently estimating restoration cost for such bridges under seismic hazards and to potentially aiding in making rational decisions concerning their appropriate retrofit and rehabilitation.

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Seo J, Park H. Seismic restoration cost curve of curved steel bridges. In Kardon JB, Diaz de Leon AE, Dolhon AM, Drerup MJ, Lester MP, Rossell CJ, editors, Forensic Engineering 2015: Performance of the Built Environment - Proceedings of the 7th Congress on Forensic Engineering. 2015. p. 716-726. (Forensic Engineering 2015: Performance of the Built Environment - Proceedings of the 7th Congress on Forensic Engineering). doi: 10.1061/9780784479711.070

Seismic restoration cost curve of curved steel bridges

Abstract

Publication series

Conference

Bibliographical note

Keywords

ASJC Scopus subject areas

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