A Model Generation Method and Optimisation Algorithm to Modify Fire Protection Thickness

Yang Li

Research output: Other contribution

Abstract

With fire temperatures rising above 1000 °C within 5min, hydrocarbon fire causes rapid strength degradation of structural steel members. When designing passive fire protection thickness with simulation, it is time consuming to optimize due to repetitive modelling work and lacking recalculation principle. This method is developed to generate steel beam model and provide an effective algorithm to optimize coating thickness considering the temperature of specific region. The main function of the method includes: Providing section dimensions, initial insulation thickness, target temperature and heating time, temperature allowance and mesh size as variables. Automatically generating Abaqus steel beam model under 3-side heating conditions. Effective iteration algorithm to modify fire protection thickness: test containing 16 random sections with a 5 °C allowance below target shows that 50% were completed within five iterations and 87.5% were completed within ten iterations.
Original languageEnglish
DOIs
Publication statusPublished - 2023

Fingerprint

Dive into the research topics of 'A Model Generation Method and Optimisation Algorithm to Modify Fire Protection Thickness'. Together they form a unique fingerprint.

Cite this