Risk Assessment Based on Maximum Allowable Damage

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Risk Assessment Based on Maximum Allowable Damage Risk Assessment based on Maximum Allowable Damage Jaime Eduardo Cadena Gomez Master of Science (Chemical Engineering) Bachelor of Science (Chemical Engineering) 0000-0003-0036-3015 A thesis submitted for the degree of Doctor of Philosophy at The University of Queensland in 2021 School of Civil Engineering Abstract Demonstrating the adequate fire safety performance of a building design is a requisite part of the approvals process in the construction industry. Risk assessments provide a powerful tool to quantify fire risk, which is often used as a proxy for fire safety performance. However, the nature of the risk assessment process means that it may also open the door for unacceptable losses to be present in the form of latent risks. This research analyses this problem and puts forward key elements needed for better fire risk assessments and an inherently safer built environment. In a performance based environment, fire safety engineering can take advantage of frameworks and methodologies to explicitly demonstrate performance through qualitative or quantitative risk assessments. The latter are preferred as they evoke a sense of objectivity and scientific rigor and due to their extensive use in high-risk settings, e.g. chemical and nuclear safety. Quantitative risk assessments can be deterministic or probabilistic. The former focuses on specific consequences, while the latter quantifies the likelihood of a range of undesired consequences. Probabilistic risk quantification can result in significant consequences appearing to be acceptable conditional on the fact that their likelihood is low enough. However, three problems arise from this: i) public responses to fires which results in large loss of life completely invalidate the premise of acceptable risk based on negligible likelihood; ii) the subjective basis and lack of structured approaches to identify scenarios that can actually challenge the performance; and iii) the reliance of probabilistic risk assessments on scarce statistical data is a topic of great concern in other fields, with some practitioners suggesting that they be reserved for specialized applications. As probabilistic risk assessments are often promoted as the default choice for demonstrating fire safety performance, the danger of providing a false sense of safety is significant. This concern has motivated this research, which has the overarching objective of proposing an alternative methodology for fire risk assessment that promotes an inherently safer built environment. This research is divided in two parts. The first part details the limitations associated to risk assessments, to probabilistic risk assessments and to the existing guidance for fire risk assessments. These limitations include data availability, the subjective basis for scenario identification and an unknown degree of trustworthiness of the results. The second part proposes a consequence-driven fire risk assessment methodology, applies it to three distinct case studies and evaluates both its advantages and limitations. The proposed methodology focuses on the potential range of fire consequences. The upper end of this consequences range should be below a stakeholder-predefined maximum allowable damage for the performance to be adequate. This concept is the basis of the methodology, correspondingly named Maximum Allowable Damage (MAD). The consequence range is estimated for a ‘bare-bones’ design, which excludes those active safety measures that cannot be ensured to work over the life of a building (e.g. sprinklers). This estimation allows identifying possible modifications to its constitutive elements as to achieve adequate performance. This approach is aligned with the inherently safer design philosophy which designs out hazards and introduces safety measures only on an as needed basis. MAD uses a high-level representation to describe how the fire damage materializes, i.e. damage model. This representation provides an initial bounding of the scenarios. The variables, their values, and underlying assumptions within the damage model are logged, allowing to judge their trustworthiness. Trustworthiness in MAD is a function of the strength of knowledge and output sensitivity of each variable and assumption. To characterize the upper end of the damage potential, a deductive reasoning approach is implemented, where the central question is which conditions are necessary (and plausible) to exceed the maximum allowable damage. Hence, scenarios are iterated and both the damage model and the information registry are updated as needed. MAD allowed obtaining insight on the fire safety performance of three distinct case studies. This insight was formulated as actionable recommendations that enabled an adequate performance. The trustworthiness of each assessment was a key component in achieving and defining these recommendations. Both the damage model and the information registry serve as supports for the trustworthiness of the assessment and as a basis for third party reviews and future reassessments. As observed in all case studies, the acceptance criteria largely defines the degree of conservatism required in the assessment, addressing one of the main criticisms to consequence-driven analyses. While MAD does not produce a metric to be used as a universal yardstick for fire risk, it is a means to trustworthy insight into fire risk. This insight can be used to ensure that a building is inherently safe before other methods are applied to optimize the fire safety design. Declaration by author This thesis is composed of my original work, and contains no material previously published or written by another person except where due reference has been made in the text. I have clearly stated the contribution by others to jointly-authored works that I have included in my thesis. I have clearly stated the contribution of others to my thesis as a whole, including statistical assistance, survey design, data analysis, significant technical procedures, professional editorial advice, financial support and any other original research work used or reported in my thesis. The content of my thesis is the result of work I have carried out since the commencement of my higher degree by research candidature and does not include a substantial part of work that has been submitted to qualify for the award of any other degree or diploma in any university or other tertiary institution. I have clearly stated which parts of my thesis, if any, have been submitted to qualify for another award. I acknowledge that an electronic copy of my thesis must be lodged with the University Library and, subject to the policy and procedures of The University of Queensland, the thesis be made available for research and study in accordance with the Copyright Act 1968 unless a period of embargo has been approved by the Dean of the Graduate School. I acknowledge that copyright of all material contained in my thesis resides with the copyright holder(s) of that material. Where appropriate I have obtained copyright permission from the copyright holder to reproduce material in this thesis and have sought permission from co-authors for any jointly authored works included in the thesis. Publications included in this thesis Cadena J. E., Osorio A. F., Torero J. L., Reniers G., Lange D., Uncertainty-based decision-making in fire safety: Analyzing the alternatives, Journal of Loss Prevention in the Process Industries, vol. 68, 2020 (https://doi.org/10.1016/j.jlp.2020.104288). – Incorporated as Annex 1. Contributor Statement of contribution % Jaime Cadena Gomez Conception and design 70 Analysis and interpretation 75 Drafting and production 80 Andres F. Osorio Conception and design 10 Analysis and interpretation 10 Drafting and production 10 Jose L. Torero Conception and design 5 Analysis and interpretation 5 Drafting and production 0 Genserik Reniers Conception and design 10 Analysis and interpretation 5 Drafting and production 0 David Lange Conception and design 5 Analysis and interpretation 5 Drafting and production 10 Cadena J. E., Hidalgo J. P., Maluk C., Torero J. L., Osorio A. F., Overcoming Risk Assessment Limitations for Potential Fires in a Multi-Occupancy Building, Chemical Engineering Transactions, vol. 77, 2019 (https://doi.org/10.3303/cet1977078). – Incorporated as part of Chapter 6 (section 6.5). Contributor Statement of contribution % Jaime Cadena Gomez Conception and design 80 Analysis and interpretation 80 Drafting and production 85 Juan P. Hidalgo Conception and design 0 Analysis and interpretation 3 Drafting and production 0 Cristian Maluk Conception and design 0 Analysis and interpretation 2 Drafting and production 0 Jose L. Torero Conception and design 10 Analysis and interpretation 5 Drafting and production 5 Andres F. Osorio Conception and design 10 Analysis and interpretation 10 Drafting and production 10 Submitted manuscripts included in this thesis Cadena J. E., McLaggan M., Osorio A. F., Torero J. L., Lange D., Fire risk assessment for a non- compliant façade in a high-rise building, Fire Safety Journal, Under Review. – Incorporated as part of Chapter 7 (section 7.1). Contributor Statement of contribution % Jaime Cadena Gomez Conception and design 75 Analysis and interpretation 80 Drafting and production 75 Martyn McLaggan Conception and design 0 Analysis and interpretation 5 Drafting and production 5 Andres F. Osorio Conception and design 10 Analysis and interpretation 5 Drafting and production 5 Jose L. Torero Conception and design 10 Analysis and interpretation 5 Drafting and production
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