Feasibility study of a loss-driven earthquake early warning and rapid response systems for tunnels of the Italian high-speed railway network

Abstract Linear infrastructures have strategic importance and impact on the social and economic conditions of many countries, hence the seismic risk management of existing and new designed ones is a crucial issue in earthquake-prone areas. High-speed and high capacity railways are an example of infrastructures that assume increasing importance in developed countries, since they permit rapid transit of people and freight. Due to the seismicity of the country, the case of the high-speed railways Italian network appears suitable for assessing the feasibility of a loss-driven earthquake early-warning system based on the real-time estimation of the expected damage probability and lead-time. Among the several subsystems that compose the network, the paper focuses on tunnels, since they are largely present along the route of the existing high-speed lines and of the new ones currently under design. This work describes a procedure that exploits the disaggregation of the seismic hazard to define sets of virtual seismic sources potentially affecting railway's tunnels. Hence, the probability of seismic damage to tunnel structures and the time available for implementing real-time mitigation procedures can be calculated. Such a procedure is applied to two tunnels of the high-speed system with different structural layout. The procedure suggests that for the considered tunnels the best option for undertaking seismic risk mitigation measures would be an on-site threshold–based early-warning system. However, the foreseen probability of structural damage to the tunnel lining is low in both cases. The proposed methodology can be easily generalized to different targets to design the optimal configuration of an earthquake early warning system, and applied to control, manage and maintain the tunnel structures along the high-speed railway network.

[1]  A. Gorini,et al.  The Italian strong motion network , 2010 .

[2]  David J. Young,et al.  The use and performance of precast concrete tunnel linings in seismic areas , 2006 .

[3]  Irini Djeran-Maigre,et al.  Three-dimensional numerical simulation for mechanized tunnelling in soft ground: the influence of the joint pattern , 2014 .

[4]  Antonio Bobet,et al.  Load Transfer Mechanisms between Underground Structure and Surrounding Ground: Evaluation of the Failure of the Daikai Station , 2005 .

[5]  Iunio Iervolino,et al.  Performance-based earthquake early warning , 2011 .

[6]  P. Bazzurro,et al.  Disaggregation of Probabilistic Ground-Motion Hazard in Italy , 2009 .

[7]  Marco Mucciarelli,et al.  Predicting the macroseismic intensity from early radiated P wave energy for on‐site earthquake early warning in Italy , 2015 .

[8]  Francesco Silvestri,et al.  Prediction of the seismic behavior of an underground railway station and a tunnel in Napoli (Italy) , 2017 .

[9]  Aldo Zollo,et al.  An on‐site alert level early warning system for Italy , 2017 .

[10]  Iunio Iervolino,et al.  On-site early-warning system for Bishkek (Kyrgyzstan) , 2015 .

[11]  Gaetano Festa,et al.  Earthquake early warning feasibility in the Campania region (southern Italy) and demonstration system for public school buildings , 2016, Bulletin of Earthquake Engineering.

[12]  Alessandro De Stefano,et al.  Vibration-based monitoring of civil infrastructure: challenges and successes , 2011 .

[13]  Paolo Gasparini,et al.  Earthquake early warning as a tool for improving society's resilience and crisis response , 2011 .

[14]  Massimiliano Pittore,et al.  Toward a Loss‐Driven Earthquake Early Warning and Rapid Response System for Kyrgyzstan (Central Asia) , 2014 .

[15]  Hiroo Kanamori,et al.  A threshold-based earthquake early warning using dense accelerometer networks , 2010 .

[16]  Kyriazis Pitilakis,et al.  Effects of SSI and lining corrosion on the seismic vulnerability of shallow circular tunnels , 2017 .

[17]  Abbas Ghalandarzadeh,et al.  Experimental evaluation of vulnerability for urban segmental tunnels subjected to normal surface faulting , 2016 .

[18]  Charles R. Farrar,et al.  Structural Health Monitoring: A Machine Learning Perspective , 2012 .

[19]  Hiroo Kanamori,et al.  Earthquake early warning: Concepts, methods and physical grounds , 2011 .

[20]  Aldo Zollo,et al.  Earthquake magnitude estimation from peak amplitudes of very early seismic signals on strong motion records , 2006 .

[21]  Kyriazis Pitilakis,et al.  Circular tunnels in sand: dynamic response and efficiency of seismic analysis methods at extreme lining flexibilities , 2016, Bulletin of Earthquake Engineering.

[22]  Aldo Zollo,et al.  Exploring the feasibility of a nationwide earthquake early warning system in Italy , 2015 .

[23]  Aldo Zollo,et al.  PRESTo, the earthquake early warning system for Southern Italy: Concepts, capabilities and future perspectives , 2011 .

[24]  M. Cattaneo,et al.  The 2016 central Italy seismic sequence: a first look at the mainshocks, aftershocks, and source models , 2017 .

[25]  L. Faenza,et al.  Regression analysis of MCS intensity and ground motion parameters in Italy and its application in ShakeMap , 2010 .

[26]  Gerardo M. Verderame,et al.  Earthquake early warning system for schools: a feasibility study in Southern Italy , 2015 .

[27]  Youssef M A Hashash,et al.  Contact interface in seismic analysis of circular tunnels , 2009 .

[28]  Sunil Sharma,et al.  Underground opening damage from earthquakes , 1991 .

[29]  D. Bindi,et al.  Ground motion prediction equations derived from the Italian strong motion database , 2011 .

[30]  S. Parolai,et al.  Real-time risk assessment in seismic early warning and rapid response: a feasibility study in Bishkek (Kyrgyzstan) , 2013, Journal of Seismology.

[31]  Charles H. Dowding,et al.  Damage to Rock Tunnels from Earthquake Shaking , 1978 .