{"title":"Evaluation of a fire protection network (FPN) model using open top combustible containers","authors":"Dong Han, James White, Yibing Xin","doi":"10.1016/j.firesaf.2025.104433","DOIUrl":null,"url":null,"abstract":"<div><div>In many situations, large-scale fire tests are the only way to validate sprinkler protection design. However, testing capability may sometimes be hindered by laboratory limitations. To explore potential strategies to overcome these limitations, a fire protection network (FPN) model was developed to provide an alternative solution for the above situations, by supplementing limited test observations with model predictions to reach a conclusive result, without repeating the same test or requiring additional tests. The FPN model is a network model that treats various burning surfaces as different types of fuel nodes. Simplified fire spread sub-models are proposed using effective parameters, whose values are taken either from the literature or via optimization against fire tests. The FPN model shows a reasonable agreement against observations from a large-scale fire test, which demonstrates its potential to predict the sprinkler demand for scenarios beyond laboratory limitations.</div></div>","PeriodicalId":50445,"journal":{"name":"Fire Safety Journal","volume":"155 ","pages":"Article 104433"},"PeriodicalIF":3.3000,"publicationDate":"2025-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Fire Safety Journal","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0379711225000979","RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENGINEERING, CIVIL","Score":null,"Total":0}
引用次数: 0
Abstract
In many situations, large-scale fire tests are the only way to validate sprinkler protection design. However, testing capability may sometimes be hindered by laboratory limitations. To explore potential strategies to overcome these limitations, a fire protection network (FPN) model was developed to provide an alternative solution for the above situations, by supplementing limited test observations with model predictions to reach a conclusive result, without repeating the same test or requiring additional tests. The FPN model is a network model that treats various burning surfaces as different types of fuel nodes. Simplified fire spread sub-models are proposed using effective parameters, whose values are taken either from the literature or via optimization against fire tests. The FPN model shows a reasonable agreement against observations from a large-scale fire test, which demonstrates its potential to predict the sprinkler demand for scenarios beyond laboratory limitations.
期刊介绍:
Fire Safety Journal is the leading publication dealing with all aspects of fire safety engineering. Its scope is purposefully wide, as it is deemed important to encourage papers from all sources within this multidisciplinary subject, thus providing a forum for its further development as a distinct engineering discipline. This is an essential step towards gaining a status equal to that enjoyed by the other engineering disciplines.