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Doktorantūros skyrius / Department for Doctoral Studies >
Technologijos mokslų daktaro disertacijos ir jų santraukos >
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| Title: | Combined Application of Multi-Attribute Selection and Risk Analysis to the Assessment of Building Fire Safety |
| Other Titles: | Daugiatikslės analizės ir rizikos skaičiavimo derinimas vertinant pastatų gaisrinę saugą |
| Authors: | Šakėnaitė, Jurgita |
| Issue Date: | 2012 |
| Publisher: | VGTU leidykla „TECHNIKA“ |
| Citation: | Šakėnaitė, J. 2012. Combined Application of Multi-Attribute Selection and Risk Analysis to the Assessment of Building Fire Safety: Doctoral Dissertation. Vilnius: Technika. 152 p. |
| Description: | The dissertation presents an approach to a building-related multi-attribute selection (multiple criteria decision making) which takes into account the fire safety of buildings. It is investigated how to incorporate fire risk measures into the standard scheme of such a decision making and found the way how to solve decision making problems in an unconventional situation when fire risk measures are expressed by random variables. The dissertation consists of introduction, three chapters, conclusions, lists of references and papers published by the author of the dissertation, as well as eight annexes.
Chapter 1 presents a review and evaluation of the published work on the multi-attribute selection, building fire risk assessment and fire risk indexing. The review addresses also evaluation of fire safety by means of two approaches: fire risk indexing and fire risk assessment. Pros and cons of either approach are analysed.
Chapter 2 proposes a formulation and solution of several problems of multi-attribute selection applied to making decisions which take into account the fire safety of buildings. Three selection problems are considered: selection of a cost-effective fire safety system, selection among several alternative buildings with regard to fire safety of each of them and choice between alternative fire protective measures with respect to fire risk. Decision matrices of these selection problems are formulated as deterministic ones and random ones. The former are used for a conventional multi-attribute selection and the latter are integrated in the process of a simulation-based uncertainty propagation which allows to solve the selection problem in an unconventional way.
Chapter 3 describes a combined application of multi-attribute selection and fire safety assessment to making decisions concerning medical facilities. An increased fire risk level in medical occupancies is identified and illustrated by fire incident data. Three examples of the multi-attribute selection with respect to fire safety are presented. The first example considers a selection of a fire safety system for a hospital building. The second example deals with a multi-attribute selection of a building for a nursing home. In these two examples, fire safety is quantified by means of fire risk indices. The third example describes a multi-attribute selection among several alternative designs of a floor in a hospital building. Fire safety is expressed through the risk to lives of patients and hospital personnel. The attribute considering this risk is quantified as time to untenable conditions in rooms of the building under analysis.
The main statements of the dissertation were published in six scientific articles: three articles – in the Thomson ISI Web of Science register, three articles – in other editions. |
| URI: | http://dspace1.vgtu.lt/handle/1/1475 |
| ISBN: | 978-609-457-311-8 |
| Appears in Collections: | Technologijos mokslų daktaro disertacijos ir jų santraukos
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