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1

Cofer, William F. Analytical modeling of foundations for seismic analysis of bridges. [Olympia, Wash.]: Washington State Dept. of Transportation, 1994.

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2

Votsi, Irene, Nikolaos Limnios, Eleftheria Papadimitriou, and George Tsaklidis. Earthquake Statistical Analysis through Multi-state Modeling. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2018. http://dx.doi.org/10.1002/9781119579076.

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3

Akkar, Sinan, Alper Ilki, Caglar Goksu, and Mustafa Erdik, eds. Advances in Assessment and Modeling of Earthquake Loss. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-68813-4.

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4

Hess, R. H. Loss-estimation modeling of earthquake scenarios for each county in Nevada using HAZUS-MH. [Reno]: Nevada Bureau of Mines and Geology, 2006.

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5

White, Robert M. Evaluation of hypotheses for the cause of the 1886 Charleston earthquake: Final report. Washington, DC: Division of Engineering, Office of Nuclear Regulatory Research, U.S. Nuclear Regulatory Commission, 1989.

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6

Zerva, Aspasia. Spatial variation of seismic ground motions: Modeling and engineering applications. Boca Raton, FL: CRC Press, 2008.

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7

Coats, D. W. Damping in building structures during earthquakes: Test data and modeling. Washington, DC: Division of Engineering, Office of Nuclear Regulatory Research, U.S. Nuclear Regulatory Commission, 1989.

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8

White, Robert M. Evaluation of hypotheses for the cause of the 1886 Charleston earthquake / prepared by R. M. White, L. T. Long ; prepared for Division of Engineering, Office of Nuclear Regulatory Research, U.S. Nuclear Regulatory Commission. Washington, DC: Office of Nuclear Regulatory Research, U.S. Nuclear Regulatory Commission, 1989.

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9

Japan) Workshop on Modeling of Dynamic Behavior of Wood Structure (1997 Tsukuba-shi. Workshop on Modeling of Dynamic Behavior of Wood Structure: 11-12 December 1997 ; visual projection room of BRI, with eventual move for observation of a shaking table test at National Disaster Prevention Research Institute. Tsukuba, Ibaraki, Japan: Building Research Institute, Ministry of Construction, Japan, 2000.

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10

Pease, Jonathan W. Liquefaction hazards in the San Francisco Bay region: Site investigation, modeling, and hazard assessment at areas most seriously affected by the 1989 Loma Prieta earthquake. Ithaca, NY: School of Civil and Enviromental Engineering, Cornell University, 1995.

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11

Tokunaga, Suminori, and Budy P. Resosudarmo, eds. Spatial Economic Modelling of Megathrust Earthquake in Japan. Singapore: Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-6493-7.

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12

Zhang, Lulu, ed. Modeling the Injury Flow and Treatment after Major Earthquakes. Dordrecht: Springer Netherlands, 2016. http://dx.doi.org/10.1007/978-94-017-7527-4.

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13

Mitsuhiro, Matsu'ura, ed. Earthquake processes: Physical modelling, numerical simulation, and data analysis. Boston: Birkhäuser Verlag, 2002.

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14

Servatius, Philipp. Modelling critical and catastrophic phenomena in geoscience: A. [Place of publication not identified]: Springer, 2010.

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15

Moczo, Peter. The finite-difference modelling of earthquake motions: Waves and ruptures. New York: Cambridge University Press, 2014.

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16

Woodward, Peter Keith. Earthquake engineering and advanced constitutive modelling in geomechanics by finite elements. Manchester: University of Manchester, 1993.

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17

Linde, Peter. Numerical modelling and capacity design of earthquake-resistant reinforced concrete walls. Basel: Birkhäuser, 1993.

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18

Mora, Peter, Mitsuhiro Matsu’ura, Raul Madariaga, and Jean-Bernard Minster, eds. Microscopic and Macroscopic Simulation: Towards Predictive Modelling of the Earthquake Process. Basel: Birkhäuser Basel, 2001. http://dx.doi.org/10.1007/978-3-0348-7695-7.

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19

Matsu’ura, Mitsuhiro, Peter Mora, Andrea Donnellan, and Xiang-chu Yin, eds. Earthquake Processes: Physical Modelling, Numerical Simulation and Data Analysis Part II. Basel: Birkhäuser Basel, 2002. http://dx.doi.org/10.1007/978-3-0348-8197-5.

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20

Matsu’ura, Mitsuhiro, Peter Mora, Andrea Donnellan, and Xiang-chu Yin, eds. Earthquake Processes: Physical Modelling, Numerical Simulation and Data Analysis Part I. Basel: Birkhäuser Basel, 2002. http://dx.doi.org/10.1007/978-3-0348-8203-3.

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21

Hua bei bei bu di qu di zhi mo xing yu qiang zhen qian yi. Beijing: Di zhen chu ban she, 1985.

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22

Chuang, Tsai-Fu. Numerical modelling of reinforced concrete structure under monotonic and earthquake-like dynamic loading. Birmingham: University of Birmingham, 2001.

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23

Ellis, Glenn W. Modelling earthquake ground motions in seismically active regions using parametric time series methods. Buffalo, NY: National Center for Earthquake Engineering Research, 1987.

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24

Grant, Damian N. Modelling and analysis of high-damping rubber bearings for the seismic protection of bridges. Pavia, Italy: ROSE School, Collegio Alessandro Volta, 2005.

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25

Nudo, Raffaele, ed. Lezioni dai terremoti: fonti di vulnerabilità, nuove strategie progettuali, sviluppi normativi. Florence: Firenze University Press, 2012. http://dx.doi.org/10.36253/978-88-6655-072-3.

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Abstract:
This book is a collection of the academic contributions presented at the conference entitled "Lessons from earthquakes: sources of vulnerability, new design strategies and regulatory developments" which was held at Chianciano Terme on 8 October 2010. The issues addressed are central to Seismic Engineering and comprise a wide range of arguments on both consolidated subjects and innovative aspects in the sector. Among these, appropriate attention is devoted to: analysis of the structural instability revealed on the occasion of seismic events and the lessons that can be drawn from the same; the procedures of assessment of the existing buildings, starting from the phase of monitoring and diagnostics through to the definition of the most opportune intervention techniques; the use of composite materials and alternative methods of seismic protection; non-linear field modelling relating to regular and non-regular structures; and finally, the development of the methods of calculation that have characterised the evolution of the regulatory codes.
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26

Hutchings, Lawrence John. Modeling near-source earthquake ground motion with empirical Green's functions. 1987.

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27

Limnios, Nikolaos, Irene Votsi, Eleftheria Papadimitriou, and Georgios Tsaklidis. Earthquake Statistical Analysis Through Multi-State Modeling. Wiley & Sons, Incorporated, John, 2018.

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28

Limnios, Nikolaos, Irene Votsi, Eleftheria Papadimitriou, and Georgios Tsaklidis. Earthquake Statistical Analysis Through Multi-State Modeling. Wiley & Sons, Incorporated, John, 2019.

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29

Limnios, Nikolaos, Irene Votsi, Eleftheria Papadimitriou, and George Tsaklidis. Earthquake Statistical Analysis Through Multi-State Modeling. Wiley & Sons, Incorporated, John, 2019.

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30

Advanced Networks Algorithms And Modeling For Earthquake Prediction. River Publishers, 2011.

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31

Goksu, Caglar, Mustafa Erdik, Sinan Akkar, and Alper Ilki. Advances in Assessment and Modeling of Earthquake Loss. Springer International Publishing AG, 2021.

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32

Goksu, Caglar, Mustafa Erdik, Sinan Akkar, and Alper Ilki. Advances in Assessment and Modeling of Earthquake Loss. Springer International Publishing AG, 2021.

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33

Jia, Junbo. Soil Dynamics and Foundation Modeling: Offshore and Earthquake Engineering. Springer, 2018.

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34

Jia, Junbo. Soil Dynamics and Foundation Modeling: Offshore and Earthquake Engineering. Springer, 2017.

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35

Jia, Junbo. Soil Dynamics and Foundation Modeling: Offshore and Earthquake Engineering. Springer London, Limited, 2016.

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36

), National Science Foundation (U S. Modeling of Inelastic Behavior of Rc Structures Under Seismic Loads. American Society of Civil Engineers, 2001.

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37

Zerva, Aspasia. Spatial Variation of Seismic Ground Motions: Modeling and Engineering Applications. Taylor & Francis Group, 2016.

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38

Zerva, Aspasia. Spatial Variation of Seismic Ground Motions: Modeling and Engineering Applications. Taylor & Francis Group, 2016.

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39

McGuire, Jeffrey W. Analytical modeling of foundations for seismic analysis of bridges. 1993.

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40

Yamashita, Teruo, and Akito Tsutsumi. Involvement of Fluids in Earthquake Ruptures: Field/Experimental Data and Modeling. Springer, 2018.

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41

Yamashita, Teruo, and Akito Tsutsumi. Involvement of Fluids in Earthquake Ruptures: Field/Experimental Data and Modeling. Springer, 2018.

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42

Toriumi, Mitsuhiro. Geochemical Mechanics and Deep Neural Network Modeling: Applications to Earthquake Prediction. Springer, 2022.

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43

Spatial Variation of Seismic Ground Motions: Modeling and Engineering Applications (Advances in Engineering Series). CRC, 2008.

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44

Ann, Bostrom, French Steven P, and Gottlieb Sara J, eds. Risk assessment, modeling and decision support: Strategic decisions. Berlin: Springer Verlag, 2008.

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45

French, Steven P., Ann Bostrom, and Sara J. Gottlieb. Risk Assessment, Modeling and Decision Support: Strategic Directions. Springer London, Limited, 2008.

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46

Ann, Bostrom, French Steven P, and Gottlieb Sara J, eds. Risk assessment, modeling and decision support: Strategic decisions. Berlin: Springer Verlag, 2008.

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47

French, Steven P., Ann Bostrom, and Sara J. Gottlieb. Risk Assessment, Modeling and Decision Support: Strategic Directions. Springer, 2010.

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48

(Editor), Ann Bostrom, Steven P. French (Editor), and Sara J. Gottlieb (Editor), eds. Risk Assessment, Modeling and Decision Support: Strategic Decisions (Risk, Governance and Society). Springer, 2007.

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49

Geological Survey (U.S.), ed. Computer programs ASPAR, GSAS and ENAS and APROB for the statistical modeling of aftershock sequences and estimation of aftershock hazard. Menlo Park, CA: U.S. Dept. of the Interior, U.S. Geological Survey, 1994.

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50

Rieken, Eric Robert. Active fault surface modeling using earthquake hypocenters: Applications to the Cascadia Benioff zone, Washington, and the 1989 Loma Prieta aftershock sequence, California. 1993.

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