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Freak Events, Black Swans, and Unknowable Unknowns: Impact on Risk-Based Design

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14th International Probabilistic Workshop

Abstract

To design means making informed decisions about suitable alternatives in the face of uncertainties. As a result, structural design criteria and inspection plans reflect the objective of satisfactory performance under well selected extreme conditions. The extent to which the extreme boundary is “pushed” depends on the design approach (ex: component vs system design), the nature and the consequences of the hazards, and risk acceptance, all of which fit neatly into the traditional framework of decision theory. This basic framework is also broad enough to include wider socio-economic and environmental objects, so that provisions with respect to robustness, resilience, sustainability, and risk mitigative measures in general, can be effectively accounted for. Various civil engineering fields suffer from a perception that we don’t dig deep enough, that we fail to consider “beyond extreme” scenarios. Every major accident, or any exceptional natural disaster, or any surprising combination of circumstances, triggers a new call for re-examination of the design rationale: if a freak event can be explained, then surely it should be (have been) accounted for. This paper looks at what really lies beyond our “design frontier”. We distinguish between three broad classes of events: far-out extremes for heavy-tailed hazards, scenarios marked by very unlikely combinations of events (perfect storms), and so-called unknowable unknowns. We identify, from a decision making point of view, which objectives, which tools, and which risk measures can be used, and which lessons can be learned.

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References

  • Au S-K, Wang Y (2014) Engineering risk assessment with subset simulation. John Wiley and Sons, Singapore, 300pp

    Book  Google Scholar 

  • Aven T (2015) Implications of black swans to the foundations and practice of risk assessment and management. Reliab Eng Syst Saf 134:83–91

    Article  Google Scholar 

  • Bea RG (1997) Human and organization errors in reliability of offshore structures. J Offshore Mech Arct Eng (ASME) 119(1):46–52

    Article  Google Scholar 

  • British Columbia Royal Commission of Inquiry (Royal Commission of Inquiry, Health and Environmental Protection) (1979) Uranium Mining: the commissioners’ first interim report on uranium exploration. Report by Bates DV, Murray JW, Raudsepp V, Province of British Columbia. http://www.llbc.leg.bc.ca/public/Pubdocs/bcdocs/216327/RoyalCommission.pdf

  • Evans D (2012) Risk intelligence: how to live with uncertainty. Free Press, New York

    Book  Google Scholar 

  • Faber MH (2015) Codified risk informed decision making for structures. In: Proceedings of the symposium on reliability of engineering systems (SRES2015). Hangzhou, China, 15–17 Oct 2015

    Google Scholar 

  • Federal Register (2002) Pipeline Safety: Underground Natural Gas Storage Facility User Fee. Federal Register, Vol. 81, Issue 215, 7 November 2016, pp. 78261–78263

    Google Scholar 

  • Haugen S, Vinnem JE (2015) Perspectives on risk and the unforeseen. Reliab Eng Syst Saf 137:1–5

    Article  Google Scholar 

  • International Atomic Energy Agency (IAEA) (2015) The Fukushima Daiichi Accident. Report by the Director General. http://www-pub.iaea.org/MTCD/Publications/PDF/Pub1710-ReportByTheDG-Web.pdf

  • Jowitt PW (2010) Now is the time. Proc ICE—Civ Eng 163(1):3–8 (with discussion 163(3))

    Google Scholar 

  • Junger S (1997) The perfect storm: a true story of men against the sea. W.W. Norton and Company, New York

    Google Scholar 

  • Khakzad N, Khan F, Amyotte P (2015) Major accidents (gray swans) likelihood modeling using accident precursors and approximate reasoning. Risk Anal 35(7):1336–1346

    Article  Google Scholar 

  • Maes MA, Milke MW (2015) Present-day challenges in rational decision making. In: Web-published in the proceedings of the eight international forum on engineering decision making (IFED2015). Hieizan, Shiga, Japan, 6–9 May 2015

    Google Scholar 

  • Maes MA, Stewart MG (2004) Optimizing structural safety levels on the basis of lifetime utility objectives of the individual. In: Zingoni A (ed) Proceedings of SEMC 2004, 2nd International Conference on Structural Engineering, Mechanics and Computation. Cape Town, South Africa, Balkema Publishers, p 179

    Google Scholar 

  • Mueller J, Stewart MG (2011) Balancing the risks, benefits, and costs of homeland security. In: Homeland security affairs 7, Article 16, Aug 2011

    Google Scholar 

  • National Centers for Environmental Information (NOAA) (2016). http://www.ngdc.noaa.gov/

  • National Transportation Safety Board (NTSB) (2003) Natural Gas Pipeline Rupture and Fire Near Carlsbad, New Mexico, August 19, 2000. Pipeline Accident Report NTSB/PAR-03/01. http://www.ntsb.gov/investigations/AccidentReports/Pages/PAR0301.aspx

  • Nessim M, Zhou W, Zhou J, Rothwell B (2009) Target reliability levels for design and assessment of onshore natural gas pipelines. J Pressure Vessel Technol. 131:061701-1 to 12

    Google Scholar 

  • Paté-Cornell E (2012) On black swans and perfect storms: risk analysis and management when statistics are not enough. Risk Anal 32(11):1823–1833

    Article  Google Scholar 

  • Rodrigues-Nikl T (2015) Linking disaster resilience and sustainability. Civ Eng Environ Syst 32(1–2):157–169

    Article  Google Scholar 

  • Schneier B (2013) Carry on: sound advice from Schneier on security. John Wiley & Sons

    Google Scholar 

  • Stephens MJ, Lewis K, Moore DK (2002) A model for sizing high consequence areas associated with natural gas pipelines. In: Proceedings of the 4th International Pipeline Conference (IPC’02). Paper No. IPC2002-27073, pp 759–767

    Google Scholar 

  • Taleb NN (2007) The black swan: the impact of the highly improbable. Random House, New York

    Google Scholar 

  • Thomas GAN (2015) Risk and reliability in the design of arctic offshore structures. Proc. POAC’15. Trondheim, Norway, 14–18 June 2015

    Google Scholar 

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Correspondence to M. A. Maes or M. R. Dann .

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Maes, M.A., Dann, M.R. (2017). Freak Events, Black Swans, and Unknowable Unknowns: Impact on Risk-Based Design. In: Caspeele, R., Taerwe, L., Proske, D. (eds) 14th International Probabilistic Workshop . Springer, Cham. https://doi.org/10.1007/978-3-319-47886-9_2

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  • DOI: https://doi.org/10.1007/978-3-319-47886-9_2

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  • Publisher Name: Springer, Cham

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