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Risk-Informed Performance-Based Metrics for Evaluating the Structural Safety and Serviceability of Constructed Assets against Natural Disasters

Author

Listed:
  • Nuno Marques de Almeida

    (Department of Civil Engineering, Architecture and Georesources, University of Lisbon (IST), 1049-001 Lisboa, Portugal)

  • Maria João Falcão Silva

    (Building Economy, Management and Technology Unit, Laboratório Nacional de Engenharia Civil (LNEC), 1700-066 Lisboa, Portugal)

  • Filipa Salvado

    (Building Economy, Management and Technology Unit, Laboratório Nacional de Engenharia Civil (LNEC), 1700-066 Lisboa, Portugal)

  • Hugo Rodrigues

    (Civil Engineering Department, University of Aveiro, 3810-193 Aveiro, Portugal)

  • Damjan Maletič

    (Faculty of Organizational Sciences, University of Maribor, 4000 Kranj, Slovenia)

Abstract

The tangible and intangible value derived from the built environment is of great importance. This raises concerns related to the resilience of constructed assets to both human-made and natural disasters. Consideration of these concerns is present in the countless decisions made by various stakeholders during the decades-long life cycle of this type of physical asset. This paper addresses these issues from the standpoint of the engineering aspects that must be managed to enhance the structural safety and serviceability of buildings against natural disasters. It presents risk-informed performance-based parameterization strategies and evaluation criteria as well as design methods to embed differentiated levels of structural safety and serviceability of buildings against wind, snow, earthquakes and other natural agents. The proposed approach enables designers to assure the resilience and reliability of building structures against natural risks.

Suggested Citation

  • Nuno Marques de Almeida & Maria João Falcão Silva & Filipa Salvado & Hugo Rodrigues & Damjan Maletič, 2021. "Risk-Informed Performance-Based Metrics for Evaluating the Structural Safety and Serviceability of Constructed Assets against Natural Disasters," Sustainability, MDPI, vol. 13(11), pages 1-21, May.
  • Handle: RePEc:gam:jsusta:v:13:y:2021:i:11:p:5925-:d:561343
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    References listed on IDEAS

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    1. Abid Mehmood, 2016. "Of resilient places: planning for urban resilience," European Planning Studies, Taylor & Francis Journals, vol. 24(2), pages 407-419, February.
    2. Francis, Royce & Bekera, Behailu, 2014. "A metric and frameworks for resilience analysis of engineered and infrastructure systems," Reliability Engineering and System Safety, Elsevier, vol. 121(C), pages 90-103.
    3. Jesus Palomo & David Rios Insua & Fabrizio Ruggeri, 2007. "Modeling External Risks in Project Management," Risk Analysis, John Wiley & Sons, vol. 27(4), pages 961-978, August.
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