Smart cities to improve resilience of communities

A. Zamani Noori, S. Marasco, O. Kammouh, M. Domaneschi, G. P. Cimellaro

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

5 Citations (Scopus)


This paper presents a new approach to predict the potential damage and physical impacts of an earthquake on the built environment. A new methodology for large-scale simulations within a seismic scenario are explored by evaluating multipurpose codes. In particular, a 3-D model of a virtual city is developed for evaluating the seismic effects at increasing intensities. Four different building sectors that provide essential functions to a community, including housing, education, business, and public services are considered. Once the buildings are integrated into the city, parallel simulations are applied to compute the system functionality following a disruptive scenario. Trilinear elastoplastic backbone curve representative of the global shear behavior of each building is estimated considering the dominant modal shapes and building irregularities. Monte Carlo Simulations (MCS) are applied to take into account the epistemic uncertainties associated with geometry and mechanical properties within the range of observations. The nonlinear dynamic analyses are performed through SAP2000 Application Programming Interface (API) in order to assess the dynamic response of the buildings in an organized and automatic fashion. Accordingly, the city is mapped into different zones representative to the possibility of having different levels of damage (complete, extensive, moderate, and slight). This methodology supports decision-makers to explore the community response to a disruptive events, to develop monitoring and control strategies in urbanized areas, to plan better resilience-building and evacuation strategies.

Original languageEnglish
Title of host publicationSHMII 2017 - 8th International Conference on Structural Health Monitoring of Intelligent Infrastructure, Proceedings
EditorsSaeed Mahini, Saeed Mahini, Tommy Chan
PublisherInternational Society for Structural Health Monitoring of Intelligent Infrastructure, ISHMII
Number of pages10
ISBN (Electronic)9781925553055
Publication statusPublished - 2017
Event8th International Conference on Structural Health Monitoring of Intelligent Infrastructure, SHMII 2017 - Brisbane, Australia
Duration: 5 Dec 20178 Dec 2017


Conference8th International Conference on Structural Health Monitoring of Intelligent Infrastructure, SHMII 2017

Bibliographical note

Funding Information:
The research leading to these results has received funding from the European Research Council under the Grant Agreement n° ERC_IDEal reSCUE_637842 of the project IDEAL RESCUE— Integrated DEsign and control of Sustainable CommUnities during Emergencies.

Publisher Copyright:
© 2017 International Society for Structural Health Monitoring of Intelligent Infrastrucure. All rights reserved.


  • Community disaster resilience
  • Evacuation
  • Monitoring
  • Smart city
  • Virtual city


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