Investigation of damage to fire protection systems in buildings due to the 2016 Kumamoto earthquake: derivation of damage models for post-earthquake fire risk assessments

References

• Achour, N., and M. Miyajima. 2020. “Post-earthquake Hospital Functionality Evaluation: The Case of Kumamoto Earthquake 2016.” Earthquake Spectra 36 (4): 1670–1694. doi:10.1177/8755293020926180.
   Web of Science ®Google Scholar
• Applied Technology Council (ATC). 2004. “Engineering Demand Parameters for Nonstructural Components, ATC-58, Project Task Report, Phase 2, Task 2.3.” Redwood City, CA.
   Google Scholar
• Architectural Institute of Japan. 2015. Seismic Loads . Recommendations for Loads on Buildings (Tokyo, Japan). Chapter 7. pp. 409–482. Chapter 7.
   Google Scholar
• Beck, V. R., and L. Zhao. 2000. “CESARE-RISK: An Aid for performance-based Fire design-some Preliminary Results.” Fire Safety Science 6: 159–170. doi:10.3801/IAFSS.FSS.6-159.
   Google Scholar
• The Building Center of Japan. 1984. “Recommendations for Seismic Design of Building Systems, Supervised by the Building Guidance Division of the Housing Bureau.” Ministry of Construction (in Japanese).Tokyo, Japan.
   Google Scholar
• Chaudhary, R. K., T. Roy, and V. Matsagar. 2020. “Member and Structural Fragility of Reinforced Concrete Structure under Fire.” Journal of Structural Fire Engineering 11 (4): 409–435. doi:10.1108/JSFE-02-2019-0015.
   Web of Science ®Google Scholar
• Cosenza, E., L. Di Sarno, G. Maddaloni, G. Magliulo, C. Petrone, and A. Prota. 2015. “Shake Table Tests for the Seismic Fragility Evaluation of Hospital Rooms.” Earthquake Engineering & Structural Dynamics 44 (1): 23–40. doi:10.1002/eqe.2456.
   Web of Science ®Google Scholar
• Cousins, J., G. Thomas, D. Heron, and W. Smith. 2012. “Probabilistic Modeling of post-earthquake Fire in Wellington, New Zealand.” Earthquake Spectra 28 (2): 553–571. doi:10.1193/1.4000002.
   Web of Science ®Google Scholar
• Cremen, G., and J. W. Baker. 2019. “Improving FEMA P-58 non-structural Component Fragility Functions and Loss Predictions.” Bulletin of Earthquake Engineering 17 (4): 1941–1960. doi:10.1007/s10518-018-00535-7.
   Web of Science ®Google Scholar
• Deguchi, Y., M. Kohno, and M. Tsujimoto. 2001. “Damage Function of Building Equipment.” Journal of Structural Engineering (Architectural Institute of Japan) 47B: 647–652. (in Japanese).
   Google Scholar
• Fallah-Aliabadi, S., A. Ostadtaghizadeh, A. Ardalan, M. Eskandari, F. Fatemi, M. R. Mirjalili, and B. Khazai. 2020. “Risk Analysis of Hospitals Using GIS and HAZUS: A Case Study of Yazd County, Iran.” International Journal of Disaster Risk Reduction 47: 101552. doi:10.1016/j.ijdrr.2020.101552.
   Web of Science ®Google Scholar
• Federal Emergency Management Agency (FEMA). 2018a. Seismic Performance Assessment of Buildings Volume 1 - Methodology, FEMA P-58-2. Washington: Federal Emergency Management Agency.
   Google Scholar
• Federal Emergency Management Agency (FEMA). 2018b. Seismic Performance Assessment of Buildings Volume 2 – Implementation Guide, FEMA P-58-2. Washington: Federal Emergency Management Agency.
   Google Scholar
• Fire and Disaster Management Agency 2011 . “Report on the Concept of Fire Protection Systems Responding to large-scale Earthquakes.” Accessed 13 March 2020. https://www.fdma.go.jp/singi_kento/kento/items/01_houkokusyo2.pdf
   Google Scholar
• Frank, K., N. Gravestock, M. Spearpoint, and C. Fleischmann. 2013. “A Review of Sprinkler System Effectiveness Studies.” Fire Science Reviews 2 (1): 6. doi:10.1186/2193-0414-2-6.
   Google Scholar
• Frank, K., M. Spearpoint, and N. Challands. 2014. “Uncertainty in Estimating the Fire Control Effectiveness of Sprinklers from New Zealand Fire Incident Reports.” Fire Technology 50 (3): 611–632. doi:10.1007/s10694-012-0297-2.
   Web of Science ®Google Scholar
• Garcia, D. L., and T. T. Soong. 2003. “Sliding Fragility of block-type non-structural Components. Part 1: Unrestrained Components.” Earthquake Engineering & Structural Dynamics 32 (1): 111–129. doi:10.1002/eqe.217.
   Web of Science ®Google Scholar
• Gelman, A., and D. B. Rubin. 1992. “Inference from Iterative Simulation Using Multiple Sequences.” Statistical Science 7 (4): 457–472. doi:10.1214/ss/1177011136.
   Google Scholar
• Gernay, T., N. E. Khorasani, and M. Garlock. 2016. “Fire Fragility Curves for Steel Buildings in A Community Context: A Methodology.” Engineering Structures 113: 259–276. doi:10.1016/j.engstruct.2016.01.043.
   Web of Science ®Google Scholar
• Ikehata, Y., J. Yamaguchi, Y. Deguchi, and T. Tanaka. 2017. “Statistical Analysis on the Reliability of Sprinkler Systems: Study on a risk-based Evacuation Safety Design Method.” In K. Harada, K. Matsuyama, K. Himoto, Y. Nakamura, K. Wakatsuki (Eds.)Fire Science and Technology 2015, 331–339. Singapore: Springer.
   Google Scholar
• Jacques, C. C., J. McIntosh, S. Giovinazzi, T. D. Kirsch, T. Wilson, and J. Mitrani-Reiser. 2014. “Resilience of the Canterbury Hospital System to the 2011 Christchurch Earthquake.” Earthquake Spectra 30 (1): 533–554. doi:10.1193/032013EQS074M.
   Web of Science ®Google Scholar
• Japan Association for Fire Science and Engineering. 2016. “Seismic Damage of Fire Protection Systems and Impacts on Fire Safety. Report on Fires following the 2011 Great East Japan Earthquake.” Chapter 8: 1–38. (in Japanese).
   Google Scholar
• Jenkins, C., S. Soroushian, E. Rahmanishamsi, and E. M. Maragakis. 2017. “Experimental Fragility Analysis of Pressurized Fire Sprinkler Piping Systems.” Journal of Earthquake Engineering 21 (1): 62–86. doi:10.1080/13632469.2016.1157528.
   Web of Science ®Google Scholar
• Kakegawa, S., A. Murata, Y. Yashiro, and M. Hirota. 1995. “Seismic Damage to Fire Safety Measures and Fire Risk in a Building.” Technical Research Report of Shimizu Construction Co., Ltd. 62. 135–150. (in Japanese).
   Google Scholar
• Kakegawa, S. 1997. A study on an evacuation safety evaluation method based on fire scenarios [ Doctoral Thesis]. Japan: Nagoya University. (in Japanese).
   Google Scholar
• Kambara, H., and Y. Hayashi. 2001. “Study on Seismic Force Intensity Indices to Evaluate Building Responses and Damage: Investigation by Using a Simple Formula to Predict Building Response.” Journal of Structural and Construction Engineering (Transactions of AIJ) 66 (543): 69–76. (in Japanese). 10.3130/aijs.66.69_1.
   Google Scholar
• Kato, M., T. Matsumiya, K. Suita, Y. Matsuoka, and M. Nakashima. 2006. “Test on Seismic Performance Evaluation of Interior Partition Walls: Result of Experiment (E-Defense Experimental Projects for Steel buildings-part 7).” Summaries of technical papers of Annual Meeting Architectural Institute of Japan, C-1, Structures III Kanagawa University, Japan, 709–710. (in Japanese).
   Google Scholar
• Khanmohammadi, S., H. Farahmand, and H. Kashani. 2018. “A System Dynamics Approach to the Seismic Resilience Enhancement of Hospitals.” International Journal of Disaster Risk Reduction 31: 220–233. doi:10.1016/j.ijdrr.2018.05.006.
   Web of Science ®Google Scholar
• Kitamura, H., Y. Miyauchi, and H. Uramoto. 2006. “Study on Standards for Judging Structural Performances in Seismic Performance Based Design: Evaluation of the Safety Limit Value and Margin I and II Levels in JSCA Seismic Performance Menu.” Journal of Structural and Construction Engineering (Transactions of AIJ) 71 (604): 183–191. (in Japanese). 10.3130/aijs.71.183_1.
   Google Scholar
• Konstantinidis, D., and N. Makris. 2009. “Experimental and Analytical Studies on the Response of Freestanding Laboratory Equipment to Earthquake Shaking.” Earthquake Engineering & Structural Dynamics 38 (6): 827–848. doi:10.1002/eqe.871.
   Web of Science ®Google Scholar
• Lambert, D. 1992. “Zero-inflated Poisson Regression, with an Application to Defects in Manufacturing.” Technometrics 34 (1): 1–14. doi:10.2307/1269547.
   Web of Science ®Google Scholar
• Lin, Y. 2005. “Estimations of the Probability of Fire Occurrences in Buildings.” Fire Safety Journal 40 (8): 728–735. doi:10.1016/j.firesaf.2005.07.005.
   Web of Science ®Google Scholar
• MacLeod, J., S. Tan, and K. Moinuddin. 2020. “Reliability of Fire (Point) Detection System in Office Buildings in Australia – A Fault Tree Analysis.” Fire Safety Journal 115: 103150. doi:10.1016/j.firesaf.2020.103150.
   Web of Science ®Google Scholar
• Meacham, B. J. 2016. “Post-earthquake Fire Performance of Buildings: Summary of a large-scale Experiment and Conceptual Framework for Integrated performance-based Seismic and Fire Design.” Fire Technology 52 (4): 1133–1157. doi:10.1007/s10694-015-0523-9.
   Web of Science ®Google Scholar
• Metropolis, N., A. Rosenbluth, M. Rosenbluth, M. Teller, and E. Teller. 1953. “Equations of State Calculations by Fast Computing Machines.” Journal of Chemical Physics 21 (6): 1087–1092. doi:10.1063/1.1699114.
   Web of Science ®Google Scholar
• Miniati, R., and C. Iasio. 2012. “Methodology for Rapid Seismic Risk Assessment of Health Structures: Case Study of the Hospital System in Florence, Italy.” International Journal of Disaster Risk Reduction 2: 16–24. doi:10.1016/j.ijdrr.2012.07.001.
   Web of Science ®Google Scholar
• Moinuddin, K. A. M., J. Innocent, and K. Keshavarz. 2019. “Reliability of Sprinkler System in Australian Shopping Centres – A Fault Tree Analysis.” Fire Safety Journal 105: 204–215. doi:10.1016/j.firesaf.2019.03.006.
   Web of Science ®Google Scholar
• National Institute for Land and Infrastructure Management, and Building Research Institute. 2016. “Quick Report of the Field Survey on the Building Damage by the 2016 Kumamoto Earthquake.” Accessed 13 March 2020. https://www.kenken.go.jp/japanese/contents/publications/data/173/index.html
   Google Scholar
• National Institute of Advanced Industrial Science and Technology (AIST). “QuiQuake: Quick Estimation System for Earthquake Map Triggered by Observed Records.” Accessed 17 January 2019. https://gbank.gsj.jp/QuiQuake/index.en.html
   Google Scholar
• National Research Council. 2012. Disaster Resilience: A National Imperative. Washington, D.C: National Academies Press.
   Google Scholar
• National Research Institute for Earth Science and Disaster Resilience, NIED K-NET, KiK-net. 2019. National Research Institute for Earth Science and Disaster Resilience. doi:10.17598/NIED.0004.
   Google Scholar
• Neal, R. 2011. MCMC Using Hamiltonian Dynamics, Chapter 5 of the Handbook of Markov Chain Monte Carlo. Edited by, S. Brooks, A. Gelman, G. Jones, and X. Meng, Boca Raton, US: Chapman & Hall/CRC Press. 116–162
   Google Scholar
• Ni, S., and T. Gernay. 2021. “A Framework for Probabilistic Fire Loss Estimation in Concrete Building Structures.” Structural Safety 88: 102029. doi:10.1016/j.strusafe.2020.102029.
   Web of Science ®Google Scholar
• Nikfar, F., and D. Konstantinidis. 2017. “Shake Table Investigation on the Seismic Performance of Hospital Equipment Supported on wheels/casters.” Earthquake Engineering & Structural Dynamics 46 (2): 243–266. doi:10.1002/eqe.2789.
   Web of Science ®Google Scholar
• Nishino, T., T. Tanaka, and A. Hokugo. 2012. “An Evaluation Method for the Urban post-earthquake Fire Risk considering Multiple Scenarios of Fire Spread and Evacuation.” Fire Safety Journal 54: 167–180. doi:10.1016/j.firesaf.2012.06.002.
   Web of Science ®Google Scholar
• Nishino, T., T. Tanaka, and S. Tsuburaya. 2013. “Development and Validation of a potential-based Model for City Evacuation in post-earthquake Fires.” Earthquake Spectra 29 (3): 911–936. doi:10.1193/1.4000155.
   Web of Science ®Google Scholar
• Nishino, T., and A. Hokugo. 2020. “A Stochastic Model for Time Series Prediction of the Number of post-earthquake Fire Ignitions in Buildings Based on the Ignition Record for the 2011 Tohoku Earthquake.” Earthquake Spectra 36: 232–249.
   Web of Science ®Google Scholar
• Nishino, T. 2021. “Probabilistic Analysis of the Vulnerability of Fire Departments to Ignitions following Megathrust Earthquakes in the Nankai Trough Subduction Zone, Japan.” Fire Safety Journal 120: 103038. doi:10.1016/j.firesaf.2020.103038.
   Web of Science ®Google Scholar
• Nojima, N., and H. Kato. 2014. “Modification and Validation of an Assessment Model of post-earthquake Lifeline Serviceability Based on the Great East Japan Earthquake Disaster.” Journal of Disaster Research 9 (2): 108–120. doi:10.20965/jdr.2014.p0108.
   Google Scholar
• Nuti, C., S. Santini, and I. Vanzi. 2004. “Damage, Vulnerability and Retrofitting Strategies for the Molise Hospital System following the 2002 Molise, Italy, Earthquake.” Earthquake Spectra 20 (1_suppl): 285–299. doi:10.1193/1.1768541.
   Google Scholar
• Otsuki, Y., M. Kurata, K. A. Skalomenos, Y. Ikeda, and M. Akazawa. 2019. “Fragility Function Development and Seismic Loss Assessment of Expansion Joints.” Earthquake Engineering & Structural Dynamics 48 (9): 1007–1029. doi:10.1002/eqe.3171.
   Web of Science ®Google Scholar
• Price, H. J., A. D. Sortis, and M. Schotanus. 2012. “Performance of the San Salvatore Regional Hospital in the 2009 L’Aquila Earthquake.” Earthquake Spectra 28 (1): 239–256. doi:10.1193/1.3673595.
   Web of Science ®Google Scholar
• Qi, L., K. Kunitomo, M. Kurata, and Y. Ikeda. 2020. “Investigating the Vibration Properties of Integrated Ceiling Systems considering Interactions with Surrounding Equipment.” Earthquake Engineering & Structural Dynamics 49 (8): 772–793. doi:10.1002/eqe.3264.
   Web of Science ®Google Scholar
• Sarno, L. D., G. Magliulo, D. D’Angela, and E. Cosenza. 2019. “Experimental Assessment of the Seismic Performance of Hospital Cabinets Using Shake Table Testing.” Earthquake Engineering & Structural Dynamics 48 (1): 103–123. doi:10.1002/eqe.3127.
   Web of Science ®Google Scholar
• Sarreshtehdari, A., and N. E. Khorasani. 2020. “Post-earthquake Emergency Response Time to Locations of Fire Ignition.” Journal of Earthquake Engineering. doi:10.1080/13632469.2020.1802369.
   Web of Science ®Google Scholar
• Stan Development Team. 2016. “Stan Modeling Language: User’s Guide and Reference Manual, Version 2.14.0.” https://mc-stan.org
   Google Scholar
• Suwa, H., and J. Kanda. 2008. “Damage Ratio Curves of Building Equipments by Using the Damage Database Due to 1995 Hyogoken Nanbu Earthquake.” Journal of Structural and Construction Engineering (Transactions of AIJ) 73 (633): 1935–1941. (in Japanese). doi:10.3130/aijs.73.1935.
   Google Scholar
• Taghavi, S., and E. Miranda. 2003. “Response Assessment of Nonstructural Building Elements.” PEER Report 2003/05. Berkeley, CA: Pacific Earthquake Engineering Research Center.
   Google Scholar
• Tanaka, T. 2011. “Integration of Fire Risk Concept into performance-based Evacuation Safety Design of Buildings.” Fire Safety Science 10: 3–21. doi:10.3801/IAFSS.FSS.10-3.
   Google Scholar
• Tian, Y., A. Filiatrault, and G. Mosqueda. 2014. “Experimental Seismic Fragility of Pressurized Fire Suppression Sprinkler Piping Joints.” Earthquake Spectra 30 (4): 1733–1748. doi:10.1193/111011EQS278M.
   Web of Science ®Google Scholar
• Xin, J., and C. Huang. 2013. “Fire Risk Analysis of Residential Buildings Based on Scenario Clusters and Its Application in Fire Risk Management.” Fire Safety Journal 62: 72–78. doi:10.1016/j.firesaf.2013.09.022.
   Web of Science ®Google Scholar
• Yung, D., G. V. Hadjisophocleous, and G. Proulx. 1997. “Modelling Concepts for the risk-cost Assessment Model Firecam and Its Application to a Canadian Government Office Building.” Fire Safety Science 5: 619–630. doi:10.3801/IAFSS.FSS.5-619.
   Google Scholar
• Zaghi, A. E., E. M. Maragakis, A. Itani, and E. Goodwin. 2012. “Experimental and Analytical Studies of Hospital Piping Assemblies Subjected to Seismic Loading.” Earthquake Spectra 28 (1): 367–384. doi:10.1193/1.3672911.
   Web of Science ®Google Scholar