Simple method for real-time seismic damage assessment of bridges

Abstract Seismic damage of bridges may pose a severe threat to motorway users, and preventive closure until post-seismic inspection may be viewed as the only safe option. However, such a measure may incur pronounced losses by obstructing transportation of rescue teams. On the other hand, allowing traffic on earthquake-damaged bridges is a difficult decision with potentially dire consequences. Hence, the main dilemma for the motorway administrator is whether to interrupt the operation of the network, calling for timely development and implementation of a RApid REsponse (RARE) system. The development of such a RARE system requires an effective means to estimate the seismic damage of motorway structures in real time. This paper contributes towards such a direction by introducing a simple method for real time seismic damage assessment of motorway bridges. The proposed method requires nonlinear dynamic time history analyses using multiple seismic records as seismic excitation. Based on the results of the analyses, statistical models are estimated, and nonlinear regression equations are developed to express seismic damage as a function of statistically significant intensity measures (IMs). Such equations are easily programmable and can be employed for real-time damage assessment, as part of an online expert system. In the event of an earthquake, the nearest seismic motion(s), recorded by an online accelerograph network, will be used in real time to estimate the damage state of motorway structures, employing the developed equations. The efficiency of the proposed method is demonstrated using a single bridge pier as an illustrative example. Based on finite element (FE) analysis results, three nonlinear regression models are estimated correlating three damage indices (DIs) with statistically significantly IMs.

[1]  Dimitrios Vamvatsikos,et al.  Incremental dynamic analysis , 2002 .

[2]  Samuel Labi,et al.  Factors Affecting Highway Safety, Health Care Services, and Motorization—An Exploratory Empirical Analysis using Aggregate Data , 2012 .

[3]  W. J. Hall,et al.  Recommended Seismic Design Criteria for New Steel Moment-Frame Buildings , 2001 .

[4]  Reginald DesRoches,et al.  Analytical Seismic Fragility Curves for Typical Bridges in the Central and Southeastern United States , 2007 .

[5]  Joseph P. Nicoletti,et al.  Seismic Design and Retrofit of Bridges , 1996 .

[6]  Fumio Yamazaki,et al.  Earthquake Damage Assessment of Expressway Bridges in Japan , 1999 .

[7]  George Gazetas,et al.  Damage potential of near-fault records: sliding displacement against conventional “Intensity Measures” , 2013, Bulletin of Earthquake Engineering.

[8]  Dario Slejko,et al.  Seismic risk assessments and GIS technology: applications to infrastructures in the Friuli–Venezia Giulia region (NE Italy) , 2003 .

[9]  H Y Kim,et al.  STATISTICAL ANALYSIS OF FRAGILITY CURVES , 2000 .

[10]  Marianna Loli,et al.  Soil failure can be used for seismic protection of structures , 2010 .

[11]  M. Celebi,et al.  Real-Time Seismic Monitoring Needs of a Building Owner—and the Solution: A Cooperative Effort , 2004 .

[12]  Paolo Franchin,et al.  Allowing Traffic Over Mainshock-Damaged Bridges , 2009 .

[13]  Mustafa Erdik,et al.  Istanbul Earthquake Rapid Response and the Early Warning System , 2003 .

[14]  De Groeve Tom,et al.  Global Disaster Alert and Coordination System , 2006 .

[15]  J. Lawrence Von Thun,et al.  Earthquake engineering and soil dynamics II : recent advances in ground-motion evaluation : proceedings of the specialty conference , 1988 .

[16]  Kyriazis Pitilakis,et al.  Recommendations for Future Directions in Fragility Function Research , 2014 .

[17]  Fred L Mannering,et al.  A multivariate tobit analysis of highway accident-injury-severity rates. , 2012, Accident; analysis and prevention.

[18]  Masanobu Shinozuka,et al.  Nonlinear Static Procedure for Fragility Curve Development , 2000 .

[19]  Ioannis Anastasopoulos,et al.  Seismic analysis of motorway bridges accounting for key structural components and nonlinear soil-structure interaction , 2015 .

[20]  B. Borzi,et al.  Deformation-based vulnerability functions for RC bridges , 2004 .

[21]  Fred L Mannering,et al.  An empirical assessment of fixed and random parameter logit models using crash- and non-crash-specific injury data. , 2011, Accident; analysis and prevention.

[22]  S. Washington,et al.  Statistical and Econometric Methods for Transportation Data Analysis , 2010 .

[23]  Gudmundur F. Ulfarsson,et al.  A heterogeneity-in-means count model for evaluating the effects of interchange type on heterogeneous influences of interstate geometrics on crash frequencies , 2014 .

[24]  Armen Der Kiureghian.  Bayesian Methods for Seismic Fragility Assessment of Lifeline Components , 2002 .

[25]  Mustafa Erdik,et al.  Rapid Earthquake Loss Assessment After Damaging Earthquakes , 2011 .

[26]  Shigeki Unjoh,et al.  The Damage of Highway Bridges in the 1995 Hyogo-Ken Nanbu Earthquake and its Impact on Japanese Seismic Design , 1997 .

[27]  K. Pitilakis,et al.  SYNER-G: Typology Definition and Fragility Functions for Physical Elements at Seismic Risk: Buildings, Lifelines, Transportation Networks and Critical Facilities , 2014 .

[28]  M. Çelebi.  REAL-TIME MONITORING OF DRIFT FOR OCCUPANCY RESUMPTION , 2008 .

[29]  Simon Washington,et al.  Statistical and Econometric Methods for Transportation Data Analysis (2nd Edition) , 2010 .

[30]  Brendan J. Russo,et al.  Comparison of factors affecting injury severity in angle collisions by fault status using a random parameters bivariate ordered probit model , 2014 .

[31]  A. Arias.  A measure of earthquake intensity , 1970 .

[33]  O. Nuttli,et al.  State-of-the-art for assessing earthquake hazards in the United States. Report 16, The relation of sustained maximum ground acceleration and velocity to earthquake intensity and magnitude , 1979 .

[34]  Anne S. Kiremidjian,et al.  Statistical Analysis of Bridge Damage Data from the 1994 Northridge, CA, Earthquake , 1999 .

[35]  S. Sarma,et al.  An evaluation of strong motion records and a new parameter A95 , 1987 .

[36]  Fred L Mannering,et al.  A note on modeling vehicle accident frequencies with random-parameters count models. , 2009, Accident; analysis and prevention.

[37]  George W. Housner,et al.  Spectrum Intensities of Strong-Motion Earthquakes , 1952 .

[38]  L. H. Roehm,et al.  Earthquake ground motions for design and analysis of dams , 1988 .

[39]  Reginald DesRoches,et al.  Seismic fragility methodology for highway bridges using a component level approach , 2006 .

[40]  Fumio Yamazaki,et al.  Effect of earthquake ground motions on fragility curves of highway bridge piers based on numerical simulation , 2001 .

[41]  Chandra R. Bhat,et al.  A latent segmentation based generalized ordered logit model to examine factors influencing driver injury severity , 2014 .