Abstract

Modeling the various aspects of a disaster scenario and the interactions that occur between them is necessary to create a meaningful and high-fidelity simulation of the event. Using a publish-subscribe pattern for data management, a platform based on distributed simulation concepts is developed to address this challenge. The platform is designed to enable disparate models to interact together within the modeling environment. Each model, or simulator, represents one part of a disaster scenario and is viewed as a black box that subscribes to data from other simulators and/or publishes its results for other simulators to use. The framework is versatile and scalable and, as such, enables the developed system to grow through addition of simulators provided by other users. The new concepts are demonstrated through a case study of wind-induced progressive damage due to both the structural response of a building and external wind pressures. The potential of the framework for modeling community resilience is discussed.

Get full access to this article

View all available purchase options and get full access to this article.

Acknowledgments

This work was supported by the University of Michigan and the US National Science Foundation (NSF) through Grant Nos. ACI-1638186 and CMMI-1562388. Any opinions, findings, conclusions, and recommendations expressed in this paper are those of the authors and do not necessarily reflect the views of the sponsors.

References

ASCE. 2017. Minimum design loads and associated criteria for buildings and other structures. ASCE 7-16. Reston, VA: ASCE.
Barton, D. C., E. D. Eidson, D. A. Schoenwald, K. L. Stamber, and R. K. Reinert. 2000. Aspen-EE: An agent-based model of infrastructure interdependency. Albuquerque, NM: Sandia National Laboratories.
Casalicchio, E., E. Galli, and S. Tucci. 2007. “Federated agent-based modeling and simulation approach to study interdependencies in IT critical infrastructures.” In Proc., 11th IEEE Symp. on Distributed Simulation and Real-Time Applications, 182–189. New York: IEEE.
Cayirci, E. 2013. “Modeling and simulation as a cloud service: A survey.” In Proc., 2013 Winter Simulation Conf.: Simulation: Making Decisions in a Complex World. New York: IEEE.
Chang, S. E., and S. B. Miles. 2004. “The dynamics of recovery: A framework.” In Modeling spatial and economic impacts of disasters, edited by Y. Okuyama and S. E. Chang, 181–204. Berlin: Springer.
Chuang, W. C., and S. M. J. Spence. 2017. “A performance-based design framework for the integrated collapse and non-collapse assessment of wind excited buildings.” Eng. Struct. 150: 746–758. https://doi.org/10.1016/j.engstruct.2017.07.030.
Cimellaro, G. P., C. Renschler, A. M. Reinhorn, and L. Arendt. 2016. “PEOPLES: A framework for evaluating resilience.” J. Struct. Eng. 142 (10): 4016063. https://doi.org/10.1061/(ASCE)ST.1943-541X.0001514.
Cimellaro, G. P., D. Solari, and M. Bruneau. 2014. “Physical infrastructure interdependency and regional resilience index after the 2011 Tohoku Earthquake in Japan.” Earthquake Eng. Struct. Dyn. 43 (12): 1763–1784. https://doi.org/10.1002/eqe.2422.
Deodatis, G. 1996. “Simulation of ergodic multivariate stochastic processes.” J. Eng. Mech. 122 (8): 778–787. https://doi.org/10.1061/(ASCE)0733-9399(1996)122:8(778).
Ellingwood, B. R., H. Cutler, P. Gardoni, W. G. Peacock, J. W. van de Lindt, and N. Wang. 2016. “The centerville virtual community: A fully integrated decision model of interacting physical and social infrastructure systems.” Sustainable Resilient Infrastruct. 1 (3–4): 95–107. https://doi.org/10.1080/23789689.2016.1255000.
Eusgeld, I., D. Henzi, and W. Kröger. 2008. Comparative evaluation of modeling and simulation techniques for interdependent critical infrastructures. Zurich, Switzerland: Laboratory for Safety Analysis, ETH Zurich.
Eusgeld, I., and C. Nan. 2009. “Creating a simulation environment for critical infrastructure interdependencies study.” In Proc., IEEE Int. Conf. on Industrial Engineering and Engineering Management (IEEM), 2104–2108. New York: IEEE.
Eusgeld, I., C. Nan, and S. Dietz. 2011. “‘System-of-systems’ approach for interdependent critical infrastructures.” Reliability Eng. Syst. Saf. 96 (6): 679–686. https://doi.org/10.1016/j.ress.2010.12.010.
FEMA (Federal Emergency Management Agency). 2006. Multi-hazard loss estimation methodology, hurricane model, HAZUS, technical manual. Washington, DC: Dept. of Homeland Security, Federal Emergency Management Agency, Mitigation Division.
Fiedrich, F. 2006. “An HLA-based multiagent system for optimized resource allocation after strong earthquakes.” In Proc., 2006 Winter Simulation Conf., 486–492. New York: IEEE.
GCEER (Grand Challenges in Earthquake Engineering Research). 2011. Grand challenges in earthquake engineering research: A community workshop report. Washington, DC: National Academies Press.
Guidotti, R., H. Chmielewski, V. Unnikrishnan, P. Gardoni, T. McAllister, and J. van de Lindt. 2016. “Modeling the resilience of critical infrastructure: The role of network dependencies.” Sustainable Resilient Infrastruct. 1 (3–4): 153–168. https://doi.org/10.1080/23789689.2016.1254999.
Hernandez-Fajardo, I., and L. Dueñas-Osorio. 2011. “Sequential propagation of seismic fragility across interdependent lifeline systems.” Earthquake Spectra 27 (1): 23–43. https://doi.org/10.1193/1.3544052.
Hollenbach, J. W. 2009. “Inconsistency, neglect, and confusion; A historical review of DoD distributed simulation architecture policies.” In Simulation Interoperability Standards Organization—Spring Simulation Interoperability Workshop 2009, 531–536. Orlando, FL: Simulation Interoperability Standards Organization.
Huang, A. S., E. Olson, and D. C. Moore. 2010. “LCM: Lightweight communications and marshalling.” In Proc., 2010 IEEE/RSJ Int. Conf. on Intelligent Robots and Systems, 4057–4062. New York: IEEE.
IEEE. 2010a. IEEE standard for modeling and simulation (M&S) high level architecture (HLA)—Federate interface specification. IEEE 1516.1-2010. New York: IEEE.
IEEE. 2010b. IEEE standard for modeling and simulation (M&S) high level architecture (HLA)—Framework and rules. IEEE 1516-2010. New York: IEEE.
IEEE. 2010c. IEEE standard for modeling and simulation (M&S) high level architecture (HLA)—Object model template (OMT) specification. IEEE 1516.2-2010. New York: IEEE.
Jain, S., and C. R. McLean. 2006. An integrated gaming and simulation architecture for incident management training. NISTIR 7295. Gaithersburg, MD: NIST, US Dept. of Commerce National Institute of Standards and Technology Engineering Laboratory.
LCM (Lightweight Communications and Marshalling). 2017. “Lightweight communications and marshalling (LCM).” Accessed March 1, 2017. https://lcm-proj.github.io/.
Lee, E. E., J. E. Mitchell, and W. A. Wallace. 2007. “Restoration of services in interdependent infrastructure systems: A network flows approach.” IEEE Trans. Syst. Man Cybern. Part C Appl. Rev. 37 (6): 1303–1317. https://doi.org/10.1109/TSMCC.2007.905859.
Miles, S. B., and S. E. Chang. 2003. Urban disaster recovery: A framework and simulation model. Multidisciplinary Center for Earthquake Engineering Research.
Miles, S. B., and S. E. Chang. 2007. A simulation model of urban disaster recovery and resilience: Implementation for the 1994 Northridge earthquake. Multidisciplinary Center for Earthquake Engineering Research.
NER (National Earthquake Resilience). 2011. National earthquake resilience: Research, implementation, and outreach. Washington, DC: Committee on National Earthquake Resilience, National Research Council, National Academies.
NIST (National Institute of Standards and Technology). 2010. Evaluation of the FEMA P-695 methodology for quantification of building seismic performance factors. NIST GCR 10-917-8. Gaithersburg, MD: NIST.
NIST (National Institute of Standards and Technology). 2016. Community resilience planning guide for buildings and infrastructure systems, Vols. I and II. Gaithersburg, MD: NIST.
OMG (Object Management Group’s). 2015. “Data distribution service (DDS), version 1.4.” Accessed December 5, 2017. http://www.omg.org/spec/DDS/1.4/.
Ouyang, M. 2014. “Review on modeling and simulation of interdependent critical infrastructure systems.” Reliability Eng. Syst. Saf. 121: 43–60. https://doi.org/10.1016/j.ress.2013.06.040.
Postel, J. 1980. “User datagram protocol.” Accessed October 25, 2017. https://www.rfc-editor.org/info/rfc768.
Powell, E. T., and J. R. Noseworthy. 2012. “The test and training enabling architecture (TENA).” In Engineering principles of combat modeling and distributed simulation, edited by A. Tolk. Hoboken, NJ: Wiley.
Reilly, A. C., S. D. Guikema, L. Zhu, and T. Igusa. 2017. “Evolution of vulnerability of communities facing repeated hazards.” PLoS One 12 (9): e0182719. https://doi.org/10.1371/journal.pone.0182719.
Rinaldi, S. M., J. P. Peerenboom, and T. K. Kelly. 2001. “Identifying, understanding, and analyzing critical infrastructure interdependencies.” IEEE Control Syst. 21 (6): 11–25. https://doi.org/10.1109/37.969131.
Schoenwald, D. A., D. C. Barton, and M. A. Ehlen. 2004. “An agent-based simulation laboratory for economics and infrastructure interdependency.” In Vol. 1292 of Proc., 2004 American Control Conf., 1295–1300. New York: IEEE.
Sivanerupan, S., J. L. Wilson, E. F. Gad, and N. T. K. Lam. 2014. “Drift performance of point fixed glass façade systems.” Adv. Struct. Eng. 17 (10): 1481–1495. https://doi.org/10.1260/1369-4332.17.10.1481.
Zhang, P., and S. Peeta. 2011. “A generalized modeling framework to analyze interdependencies among infrastructure systems.” Transp. Res. Part B: Methodol. 45 (3): 553–579. https://doi.org/10.1016/j.trb.2010.10.001.

Information & Authors

Information

Published In

Go to Journal of Structural Engineering
Journal of Structural Engineering
Volume 145Issue 5May 2019

History

Received: Jan 16, 2018
Accepted: Oct 19, 2018
Published online: Feb 26, 2019
Published in print: May 1, 2019
Discussion open until: Jul 26, 2019

Permissions

Request permissions for this article.

Authors

Affiliations

Graduate Student, Dept. of Civil Engineering, Univ. of Michigan, Ann Arbor, MI 48109 (corresponding author). ORCID: https://orcid.org/0000-0001-5369-2571. Email: [email protected]
Wei-Chu Chuang, S.M.ASCE [email protected]
Graduate Student, Dept. of Civil Engineering, Univ. of Michigan, Ann Arbor, MI 48109. Email: [email protected]
Lichao Xu, S.M.ASCE [email protected]
Graduate Student, Dept. of Civil Engineering, Univ. of Michigan, Ann Arbor, MI 48109. Email: [email protected]
Sherif El-Tawil, Ph.D., F.ASCE [email protected]
P.E.
Professor, Dept. of Civil Engineering, Univ. of Michigan, Ann Arbor, MI 48109. Email: [email protected]
Seymour M. J. Spence, Ph.D., A.M.ASCE [email protected]
Assistant Professor, Dept. of Civil Engineering, Univ. of Michigan, Ann Arbor, MI 48109. Email: [email protected]
Vineet R. Kamat, Ph.D., M.ASCE [email protected]
Professor, Dept. of Civil Engineering, Univ. of Michigan, Ann Arbor, MI 48109. Email: [email protected]
Carol C. Menassa, Ph.D., M.ASCE [email protected]
Associate Professor, Dept. of Civil Engineering, Univ. of Michigan, Ann Arbor, MI 48109. Email: [email protected]
Jason McCormick, Ph.D., M.ASCE [email protected]
Associate Professor, Dept. of Civil Engineering, Univ. of Michigan, Ann Arbor, MI 48109. Email: [email protected]

Metrics & Citations

Metrics

Citations

Download citation

If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download.

Cited by

View Options

Get Access

Access content

Please select your options to get access

Log in/Register Log in via your institution (Shibboleth)
ASCE Members: Please log in to see member pricing

Purchase

Save for later Information on ASCE Library Cards
ASCE Library Cards let you download journal articles, proceedings papers, and available book chapters across the entire ASCE Library platform. ASCE Library Cards remain active for 24 months or until all downloads are used. Note: This content will be debited as one download at time of checkout.

Terms of Use: ASCE Library Cards are for individual, personal use only. Reselling, republishing, or forwarding the materials to libraries or reading rooms is prohibited.
ASCE Library Card (5 downloads)
$105.00
Add to cart
ASCE Library Card (20 downloads)
$280.00
Add to cart
Buy Single Article
$35.00
Add to cart

Get Access

Access content

Please select your options to get access

Log in/Register Log in via your institution (Shibboleth)
ASCE Members: Please log in to see member pricing

Purchase

Save for later Information on ASCE Library Cards
ASCE Library Cards let you download journal articles, proceedings papers, and available book chapters across the entire ASCE Library platform. ASCE Library Cards remain active for 24 months or until all downloads are used. Note: This content will be debited as one download at time of checkout.

Terms of Use: ASCE Library Cards are for individual, personal use only. Reselling, republishing, or forwarding the materials to libraries or reading rooms is prohibited.
ASCE Library Card (5 downloads)
$105.00
Add to cart
ASCE Library Card (20 downloads)
$280.00
Add to cart
Buy Single Article
$35.00
Add to cart

Media

Figures

Other

Tables

Share

Share

Copy the content Link

Share with email

Email a colleague

Share