Skip to main content
Disciplines
Automotive Business IT + Informatics Construction + Real Estate Electrical Engineering + Electronics Energy + Sustainability Insurance + Risk Finance + Banking Management + Leadership Marketing + Sales Mechanical Engineering + Materials
Events
DE
EN
Books
Journals
Topic Page
Marketing
Start single access now
Access for companies
EXTENDED SEARCH
Log in
Top
Published in:
Application of Steel Shear Walls Toward More Resilient Structures Read chapter Read first chapter

2019 | OriginalPaper | Chapter

Resilience of the Built Environment: A Methodology to Estimate the Downtime of Building Structures Using Fuzzy Logic

Authors : M. De Iuliis, O. Kammouh, G. P. Cimellaro, S. Tesfamariam

Published in: Resilient Structures and Infrastructure

Publisher: Springer Singapore

Log in

Activate our intelligent search to find suitable subject content or patents.

search-config
loading …

Abstract

Natural and man-made disasters have caused a significant impact on residential buildings worldwide. The damaged buildings stay unoccupiable for a period of time, called the downtime. This chapter introduces a new methodology to predict the downtime and the resilience of building structures using Fuzzy logic. Generally, the downtime can be divided into three main components: downtime due to the structural and nonstructural damage (DT1); downtime due irrational delays (DT2); and downtime due to utilities disruption (DT3). DT1 is defined by assigning a pre-defined repair time to each building component given the number of workers assigned. DT2 and DT3 are estimated using the REDiTM Guidelines, which provide good estimates of the delays incurred by irrational components and utilities disruption. The Downtime of the building is finally obtained by combining all three components. Following the downtime estimation, the resilience of the building is estimated by combining the downtime of the building (DT) and the building damage level. The latter is assessed using a rapid visual screening form designed by the authors. As a case study, the methodology has been applied to a residential building where the 1994 Northridge earthquake is selected as the hazard event.

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

inform now

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

inform now

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

inform now
previous chapter Application of Steel Shear Walls Toward More Resilient Structures
next chapter Resilient Design of Buildings with Hysteretic Energy Dissipation Devices as Seismic Fuses
Literature
Almufti, I, & Willford, M. (2013). Resilience-based earthquake design (REDi) rating system, version 1.0. Arup.
Alterman, T., Luckhaupt, S. E., Dahlhamer, J. M., Ward, B. W., & Calvert, G. M. (2013). Prevalence rates of work organization characteristics among workers in the US: Data from the 2010 National Health Interview Survey. American Journal of Industrial Medicine, 56(6), 647–659.CrossRef
Bonowitz, D. (2010). Resilience criteria for seismic evaluation of existing buildings: A proposal to supplement ASCE 31 for intermediate performance objectives. In Improving the Seismic Performance of Existing Buildings and Other Structures, pp. 477–488.
Bonstrom, H., & Corotis, R. B. (2014). First-order reliability approach to quantify and improve building portfolio resilience. Journal of Structural Engineering, 142(8), C4014001.CrossRef
Bruneau, M., Chang, S. E., Eguchi, R. T., Lee, G. C., O’Rourke, T. D., Reinhorn, A. M., et al. (2003). A framework to quantitatively assess and enhance the seismic resilience of communities. Earthquake Spectra, 19(4), 733–752.CrossRef
Bruneau, M., Uang, C.-M., & Sabelli, S. R. (2011). Ductile design of steel structures. McGraw Hill Professional.
Chang, S. E., McDaniels, T., Fox, J., Dhariwal, R., & Longstaff, H. (2014). Toward disaster-resilient cities: Characterizing resilience of infrastructure systems with expert judgments. Risk Analysis, 34(3), 416–434.CrossRef
Cimellaro, G. P. (2016). Urban resilience for emergency response and recovery. Springer.
Cimellaro, G. P., Fumo, C., Reinhorn, A., Bruneau, M. (2008). Seismic resilience of health care facilities. In 14th World Conference on Earthquake Engineering (14WCEE), Beijing, China, October 2008, pp. 12–17.
Cimellaro, G. P., Reinhorn, A. M., & Bruneau, M. (2010). Framework for analytical quantification of disaster resilience. Engineering Structures, 32(11), 3639–3649.CrossRef
Cimellaro, G. P., Renschler, C., Reinhorn, A. M., & Arendt, L. (2016a). PEOPLES: A framework for evaluating resilience. Journal of Structural Engineering, 142(10), 04016063.CrossRef
Cimellaro, G. P., Zamani-Noori, A., Kammouh, O., Terzic, V., & Mahin, S. A. (2016b). Resilience of critical structures, infrastructure, and communities. Berkeley, California: Pacific Earthquake Engineering Research Center (PEER).
Comerio, M. C. (2006). Estimating downtime in loss modeling. Earthquake Spectra, 22(2), 349–365.CrossRef
Comerio, M. C., & Blecher, H. E. (2010). Estimating downtime from data on residential buildings after the Northridge and Loma Prieta Earthquakes. Earthquake Spectra, 26(4), 951–965.CrossRef
FEMA (2012a) Seismic performance assessment of buildings, “Implementation Guide”. vol 2. Applied Technology Council for the Federal Emergency Management Agency, CA, USA.
FEMA (2012b) Seismic performance assessment of buildings, “Methodology”. vol 1. Applied Technology Council for the Federal Emergency Management Agency, CA, USA.
Hazus, M. (1999). Earthquake loss estimation methodology technical and user manual.
ISDR U Hyogo framework for action 2005–2015: building the resilience of nations and communities to disasters. In: Extract from the final report of the World Conference on Disaster Reduction (A/CONF. 206/6), 2005.
ISDR U (2009) Global assessment report on disaster risk reduction. United Nations International Strategy for Disaster Reduction (UN ISDR), Geneva, Switzerland ISBN/ISSN 980852698:207.
Kammouh, O., Cimellaro, G. P. (2018). PEOPLES: A tool to measure community resilience. In: J. G. Soules (Ed.) Proceedings of 2018 Structures Congress (SEI2018). ASCE—American Society of Civil Engineering, Fort Worth, Texas. April 19–21, pp. 161–171. https://​doi.​org/​10.​1061/​9780784481349.​015.
Kammouh, O., Cimellaro, G. P., & Mahin, S. A. (2018a). Downtime estimation and analysis of lifelines after an earthquake. Engineering Structures, 173, 393–403.CrossRef
Kammouh, O., Zamani-Noori, A., Renschler, C., & Cimellaro, G. P. (2017c). Resilience quantification of communities based on peoples framework. In 16th World Conference on Earthquake Engineering (16WCEE), Santiago, Chile, January 9–13, 2017. IAEE, Santiago, Chile.
Kircher, C. A., Whitman, R. V., & Holmes, W. T. (2006). HAZUS earthquake loss estimation methods. Natural Hazards Review, 7(2), 45–59.CrossRef
Klir, G., & Yuan, B. (1995). Fuzzy sets and fuzzy logic (Vol. 4). Prentice hall, New Jersey.
Liou, Y.-T., & Lo, S.-L. (2005). A fuzzy index model for trophic status evaluation of reservoir waters. Water Research, 39(7), 1415–1423.CrossRef
Mamdani, E. H. (1974). Application of fuzzy algorithms for control of simple dynamic plant. In Proceedings of the Institution of Electrical Engineers, vol. 12, pp. 1585–1588. IET.
Mamdani, E. H. (1976). Application of fuzzy logic to approximate reasoning using linguistic synthesis. In Proceedings of the Sixth International Symposium on Multiple-Valued Logic, pp. 196–202. IEEE Computer Society Press.
Mayes, C., Hohbach, D., Bello, M., Bittleston, M., Bono, S., Bonowitz, D., et al., (2011). SEAONC rating system for the expected earthquake performance of buildings. In SEAOC Convention Proceedings, 2011.
Mendel, J. M. (1995). Fuzzy logic systems for engineering: A tutorial. Proceedings of the IEEE, 83(3), 345–377.CrossRef
Renschler, C. S., Frazier, A. E., Arendt, L. A., Cimellaro, G. P., Reinhorn, A. M., & Bruneau, M. (2010). A framework for defining and measuring resilience at the community scale: The PEOPLES resilience framework. MCEER Buffalo.
Saatcioglu, M., Mitchell, D., Tinawi, R., Gardner, N. J., Gillies, A. G., Ghobarah, A., et al. (2001). The August 17, 1999, Kocaeli (Turkey) earthquake damage to structures. Canadian Journal of Civil Engineering, 28(4), 715–737.
Sadiq, R., Al-Zahrani, M. A., Sheikh, A. K., Husain, T., & Farooq, S. (2004). Performance evaluation of slow sand filters using fuzzy rule-based modelling. Environmental Modelling and Software, 19(5), 507–515.CrossRef
Stein, R. (1994). The Northridge, California earthquake of January 1994 a computer animation and paper model. US Geological Survey.
Tesfamariam, S., & Saatcioglu, M. (2008). Risk-based seismic evaluation of reinforced concrete buildings. Earthquake Spectra, 24(3), 795–821.CrossRef
Tesfamariam, S., & Saatcioglu, M. (2010). Seismic vulnerability assessment of reinforced concrete buildings using hierarchical fuzzy rule base modeling. Earthquake Spectra, 26(1), 235–256.CrossRef
Tesfamariam, S., & Sanchez-Silva, M. (2011). A model for earthquake risk management based on the life-cycle performance of structures. Civil Engineering and Environmental Systems, 28(3), 261–278.CrossRef
Tierney, K., Blair-Tyler, M., Blais, N., Bolin, R., Borden, F., Bourque, L. B., et al. (1995). Societal impacts and emergency response. Earthquake Spectra, 11(S2), 373–418.CrossRef
Zadeh, L. A. (1965). Information and control. Fuzzy Sets, 8(3), 338–353.
Zadeh, L. A. (1973). Outline of a new approach to the analysis of complex systems and decision processes. IEEE Transactions on Systems, Man and Cybernetics, 1100, 38–45.MathSciNet
Metadata
Title
Resilience of the Built Environment: A Methodology to Estimate the Downtime of Building Structures Using Fuzzy Logic
Authors
M. De Iuliis
O. Kammouh
G. P. Cimellaro
S. Tesfamariam
Copyright Year
2019
Publisher
Springer Singapore
Book
Resilient Structures and Infrastructure

Print ISBN: 978-981-13-7445-6

Electronic ISBN: 978-981-13-7446-3

Copyright Year: 2019

DOI
https://doi.org/10.1007/978-981-13-7446-3_2