Sensitivity and Uncertainty Analyses of Human and Organizational Risks in Fire Safety Systems for High-Rise Residential Buildings with Probabilistic T-H-O-Risk Methodology
Given that existing fire risk models often ignore human and organizational errors (HOEs) ultimately leading to underestimation of risks by as much as 80%, this study employs a technical-human-organizational risk (T-H-O-Risk) methodology to address knowledge gaps in current state-of-the-art probabili...
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doaj-d7052ab80a0343cc8116f3daec7299802021-03-15T00:02:31ZengMDPI AGApplied Sciences2076-34172021-03-01112590259010.3390/app11062590Sensitivity and Uncertainty Analyses of Human and Organizational Risks in Fire Safety Systems for High-Rise Residential Buildings with Probabilistic T-H-O-Risk MethodologySamson Tan0Darryl Weinert1Paul Joseph2Khalid Moinuddin3Centre for Environmental Safety and Risk Engineering, Victoria University, Melbourne 3000, AustraliaCentre for Environmental Safety and Risk Engineering, Victoria University, Melbourne 3000, AustraliaCentre for Environmental Safety and Risk Engineering, Victoria University, Melbourne 3000, AustraliaCentre for Environmental Safety and Risk Engineering, Victoria University, Melbourne 3000, AustraliaGiven that existing fire risk models often ignore human and organizational errors (HOEs) ultimately leading to underestimation of risks by as much as 80%, this study employs a technical-human-organizational risk (T-H-O-Risk) methodology to address knowledge gaps in current state-of-the-art probabilistic risk analysis (PRA) for high-rise residential buildings with the following goals: (1) Develop an improved PRA methodology to address concerns that deterministic, fire engineering approaches significantly underestimate safety levels that lead to inaccurate fire safety levels. (2) Enhance existing fire safety verification methods by incorporating probabilistic risk approach and HOEs for (i) a more inclusive view of risk, and (ii) to overcome the deterministic nature of current verification methods. (3) Perform comprehensive sensitivity and uncertainty analyses to address uncertainties in numerical estimates used in fault tree/event trees, Bayesian network and system dynamics and their propagation in a probabilistic model. (4) Quantification of human and organizational risks for high-rise residential buildings which contributes towards a policy agenda in the direction of a sustainable, risk-based regulatory regime. This research contributes to the development of the next-generation building codes and risk assessment methodologies.https://www.mdpi.com/2076-3417/11/6/2590human and organizational risksprobabilistic risk assessmenthigh-rise residential buildingsfire riskhuman and organizational errorstime varying reliability |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Samson Tan Darryl Weinert Paul Joseph Khalid Moinuddin |
spellingShingle |
Samson Tan Darryl Weinert Paul Joseph Khalid Moinuddin Sensitivity and Uncertainty Analyses of Human and Organizational Risks in Fire Safety Systems for High-Rise Residential Buildings with Probabilistic T-H-O-Risk Methodology Applied Sciences human and organizational risks probabilistic risk assessment high-rise residential buildings fire risk human and organizational errors time varying reliability |
author_facet |
Samson Tan Darryl Weinert Paul Joseph Khalid Moinuddin |
author_sort |
Samson Tan |
title |
Sensitivity and Uncertainty Analyses of Human and Organizational Risks in Fire Safety Systems for High-Rise Residential Buildings with Probabilistic T-H-O-Risk Methodology |
title_short |
Sensitivity and Uncertainty Analyses of Human and Organizational Risks in Fire Safety Systems for High-Rise Residential Buildings with Probabilistic T-H-O-Risk Methodology |
title_full |
Sensitivity and Uncertainty Analyses of Human and Organizational Risks in Fire Safety Systems for High-Rise Residential Buildings with Probabilistic T-H-O-Risk Methodology |
title_fullStr |
Sensitivity and Uncertainty Analyses of Human and Organizational Risks in Fire Safety Systems for High-Rise Residential Buildings with Probabilistic T-H-O-Risk Methodology |
title_full_unstemmed |
Sensitivity and Uncertainty Analyses of Human and Organizational Risks in Fire Safety Systems for High-Rise Residential Buildings with Probabilistic T-H-O-Risk Methodology |
title_sort |
sensitivity and uncertainty analyses of human and organizational risks in fire safety systems for high-rise residential buildings with probabilistic t-h-o-risk methodology |
publisher |
MDPI AG |
series |
Applied Sciences |
issn |
2076-3417 |
publishDate |
2021-03-01 |
description |
Given that existing fire risk models often ignore human and organizational errors (HOEs) ultimately leading to underestimation of risks by as much as 80%, this study employs a technical-human-organizational risk (T-H-O-Risk) methodology to address knowledge gaps in current state-of-the-art probabilistic risk analysis (PRA) for high-rise residential buildings with the following goals: (1) Develop an improved PRA methodology to address concerns that deterministic, fire engineering approaches significantly underestimate safety levels that lead to inaccurate fire safety levels. (2) Enhance existing fire safety verification methods by incorporating probabilistic risk approach and HOEs for (i) a more inclusive view of risk, and (ii) to overcome the deterministic nature of current verification methods. (3) Perform comprehensive sensitivity and uncertainty analyses to address uncertainties in numerical estimates used in fault tree/event trees, Bayesian network and system dynamics and their propagation in a probabilistic model. (4) Quantification of human and organizational risks for high-rise residential buildings which contributes towards a policy agenda in the direction of a sustainable, risk-based regulatory regime. This research contributes to the development of the next-generation building codes and risk assessment methodologies. |
topic |
human and organizational risks probabilistic risk assessment high-rise residential buildings fire risk human and organizational errors time varying reliability |
url |
https://www.mdpi.com/2076-3417/11/6/2590 |
work_keys_str_mv |
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