2020
DOI: 10.1016/j.jlp.2020.104288
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Uncertainty-based decision-making in fire safety: Analyzing the alternatives

Abstract: Large accidents throughout the 20 th century marked the development of safety fields in engineering, devoted to better identify hazards, understand risks and properly manage them. While many such fields evolved rather quickly and moved from a compliance to a risk-based approach, Fire Safety Engineering (FSE) experienced a significant delay in this transition. While the current performance-based approach to FSE provides flexibility and capitalizes on learning from accidental events and other engineering discipl… Show more

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Cited by 10 publications
(6 citation statements)
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“…Alternatively, one could use time and HRR data seen in Fig. 8 input distributions for probabilistic analysis or as bounds for structural design optimization (e.g., [49][50][51]). The development of large data sets for other fire safety experiments (e.g., compartment fires, ceiling jets, heat fluxes from fires) would therefore better capture the relevant bounds of certainty for such optimization techniques.…”
Section: Discussionmentioning
confidence: 99%
“…Alternatively, one could use time and HRR data seen in Fig. 8 input distributions for probabilistic analysis or as bounds for structural design optimization (e.g., [49][50][51]). The development of large data sets for other fire safety experiments (e.g., compartment fires, ceiling jets, heat fluxes from fires) would therefore better capture the relevant bounds of certainty for such optimization techniques.…”
Section: Discussionmentioning
confidence: 99%
“…Ambiguity in this context means that there exist multiple frames of reference about given phenomena. Epistemic Uncertainty can be reduced by further research and empirical investigation or new theories based on experimental observation [30].…”
Section: The Ones That Characterised By Nature Of Uncertaintiesmentioning
confidence: 99%
“…• (2) Reducing Uncertainty-This approach aims to lower down the uncertainty or to remove it altogether. Reducing uncertainty can be done through several ways: (i) experimental observation [30], (ii) using extrapolation from available information using statistical methods to predict future, (iii) using extrapolation from available information using assumption-based reasoning, (iv) using mental simulation (v) through scenario building (vi) through information processing [8]. • (3) Suppressing Uncertainty-In this approach, two common tactics can be used.…”
Section: Strategies To Cope With Uncertaintymentioning
confidence: 99%
“…One of the most important requirements is: low power consumption (Billinton and Allan 1996;Krzykowski et al 2019;Rosiński et al 2019), functionality (Siergiejczyk and Krzykowska 2014), reliability (Laskowski et al 2015;Mao et al 2019;Jafari et al 2020), vibration resistance (Burdzik et al 2013;Kostrzewski 2018;Kukulski et al 2019;), information quality ) from sensors (Łabowski and Kaniewski 2015;Kaniewski et al 2019), electromagnetic distortion resistance (Siergiejczyk et al 2015;Urbancokova et al 2015;Siergiejczyk et al 2017;Paś et al 2020) and subsystem inspection (Duer et al 2013). One of the effects of complying with the requirements is the introduction of more and more technologically sophisticated FAS (Cadena et al 2020). That is why conducting reliability and operational analysis of FAS as a whole is so essential.…”
Section: Introductionmentioning
confidence: 99%