Numerical simulation of the heat flow through laminated glass beams exposed to fire — a parametric study

Research output: Contribution to book/conference proceedings/anthology/reportConference contributionContributedpeer-review

Contributors

Abstract

All-glass structures have become increasingly popular with architects and builders in recent years. Glass surfaces are getting larger and more impressive to obtain maximum transparency for buildings. The supporting structure of glass facades, glass roofs or walk-on glazing is usually made of metal, justified in the fire protection requirements. To increase the transparency of the whole structure, load-bearing glass structures are getting more and more important. However, their use is currently still limited regarding concerns about its performance in case of fire. Fire tests need to be carried out to examine the load-bearing behaviour of glass beams exposed to fire. Due to the high costs and the high environment pollution caused by fire tests, preliminary examinations in form of simulations could be a solution. This paper describes the design of a numerical model to calculate the heat flow through glass beams under fire load. The model was validated using the results of experimental examinations. By means of the validated model, a parametric study was carried out to vary the parameters of the glass beam such as glass thickness, glass composition and interlayer thickness. This creates the opportunity to pre-select variations before the experimental examinations.

Details

Original languageEnglish
Title of host publicationCurrent Perspectives and New Directions in Mechanics, Modelling and Design of Structural Systems
EditorsAlphose Zingoni
Chapter10
Pages872-878
Number of pages7
Publication statusPublished - 2 Sept 2022
Peer-reviewedYes

Conference

Title8th International Conference on Structural Engineering, Mechanics and Computation
Abbreviated titleSEMC 2022
Conference number8
Duration5 - 7 September 2022
Website
Degree of recognitionInternational event
CityCape Town
CountrySouth Africa

External IDs

unpaywall 10.1201/9781003348443-143
Mendeley 96a4aab7-053a-39db-9125-7d5d08d8951f
Scopus 85145562302