Guest Editorial: Probabilistic Methods in Fire Safety Engineering

Coile, Ruben Van; Hopkin, Danny; Lange, David

doi:10.1007/s10694-019-00874-0

Cited by 6 publications

(3 citation statements)

References 11 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…PRA has been widely accepted as a tool to evaluate a fire engineering design [51]. This is evident from its inclusion in numerous international guidance documents, e.g.…”

Section: The Risk Acceptance Frameworkmentioning

confidence: 99%

Risk Tolerability Limits for Fire Engineering Design: Methodology and Reference Case Study

et al. 2021

Self Cite

View full text Add to dashboard Cite

A simple framework for setting risk tolerability limits is proposed following a literature review of risk acceptance in fire safety engineering and a feedback round with international fire safety professionals. The framework provides practical guidance for the application of international fire safety guidance, such as the recently published UK guidance document on probabilistic risk assessment (PRA) for the fire design of buildings, PD 7974-7:2019, which provides a state-of-theart framework to assess adequate safety for complex fire engineering designs. However, the application of this guidance document is hindered by two main constraints: (i) PD7974-7:2019 requires risk tolerability limits to be set, but lacks guidance on defining them for a specific building project, and (ii) no reference case studies are given that demonstrate the application of PRA methods to fire engineering design. In order to help fill this gap, a risk tolerability framework is developed and proposed herein. Finally, it is applied to a reference case study of a UK office building. Considering the developed framework, further research needs are identified. It is expected that the proposed risk tolerability framework and the presented reference case study can support the application of PRA to fire engineering design and ease stakeholder communication on setting risk tolerability limits.

show abstract

“…PRA has been widely accepted as a tool to evaluate a fire engineering design [51]. This is evident from its inclusion in numerous international guidance documents, e.g.…”

Section: The Risk Acceptance Frameworkmentioning

confidence: 99%

Risk Tolerability Limits for Fire Engineering Design: Methodology and Reference Case Study

et al. 2021

Self Cite

View full text Add to dashboard Cite

show abstract

“…Therefore, the decision-makers are not used to consider the acceptability of fatalities, even at low probabilities, and hesitate to take responsibility for such decisions. Van Coile et al define it as a lack of clarity on the position of probabilistic methods in the design process [74]. There is also a lack of methodology for cost-benefit analysis based on the calculated risk values along with a limited number of peer-reviewed case studies which can serve as a reference point to the fire engineer.…”

Section: Introductionmentioning

confidence: 99%

Risk-aware decision making in the safety investments - Application of stochastic simulations and judgment value method

Krasuski

Zimny

Hostikka

et al. 2022

Fire Safety Journal

View full text Add to dashboard Cite

We propose a methodology for risk-aware decision making related to the investment in safety. The methodology consists of probabilistic risk assessment and following cost-benefit analysis upon calculated risk values. We introduce a web-based tool for computing the risk for various safety regimes. The tool makes use of joint fire and evacuation modelling along with Monte Carlo sampling for uncertain or variate input variables. The results include individual as well as societal risk values, related to fatalities or serious injuries. The obtained changes in risk valuesrelated to the applied safety measuresdefine an input for the cost-benefit analysis. The analysis is based on the Life Quality Index and J-value judgement method. As a case study, we used the hotel part of a sevenstory mixed-use building. We designed the methodology to be applicable in day-to-day engineering calculations related to the safety of the building as well as other purposes, such as the introduction of the new product to the market. Therefore, in this article, we focus on the practical aspect of the methodology.

show abstract

“…20 More recently, probabilistic approaches have been introduced to fire engineering, for example, probabilistic fire risk analysis (PRA) and more extended probabilistic structural fire engineering (PSFE). 21 The probabilistic analysis provides a more realistic look into the assessment of structures under fire conditions, and it aims to overcome some of the limitations observed in the more traditional (deterministic) approaches by including uncertainties stemming from the simplifications and assumptions used in systems analysis and design processes. Van Coile et al 22 provide discussions and clarifications related to probabilistic risk assessment (PRA), which is usually used as a tool for performance-based design in fire safety engineering.…”

mentioning

confidence: 99%

An approach for developing probabilistic models for temperature‐dependent properties of construction materials from fire tests and small data

Karaki

Naser

2022

Fire and Materials

View full text Add to dashboard Cite

Probabilistic approaches provide a more realistic look into assessing structures under fire conditions and overcome some limitations observed in the more traditional (deterministic) approaches. These approaches have also been introduced to the fire engineering domain, for example, fire probabilistic risk analysis and probabilistic structural fire engineering. In order to perform probabilistic‐based analysis, temperature‐dependent probabilistic models for material properties are needed. This paper presents a methodology to develop temperature‐dependent probabilistic models for the thermal and mechanical properties for commonly used construction materials, including normal‐strength, high‐strength, and high‐performance concrete and mild, high‐strength, and cold‐formed steels. The presented approach analyzes a comprehensive list of surveyed experimental data at different temperature groups, tests the goodness of fit for a number of distributions, and derives a continuous function to quantify temperature‐dependent parameters of the distribution. In addition, the newly derived models are also compared against those adopted by fire codes, and standards and others derived using machine learning. The newly developed models will complement existing efforts to facilitate probabilistic performance‐based structural fire engineering.

show abstract

Guest Editorial: Probabilistic Methods in Fire Safety Engineering

Cited by 6 publications

References 11 publications

Risk Tolerability Limits for Fire Engineering Design: Methodology and Reference Case Study

Risk Tolerability Limits for Fire Engineering Design: Methodology and Reference Case Study

Risk-aware decision making in the safety investments - Application of stochastic simulations and judgment value method

An approach for developing probabilistic models for temperature‐dependent properties of construction materials from fire tests and small data

Contact Info

Product

Resources

About