TY - JOUR
T1 - A Model generation method and iteration algorithm for optimising fire protection thickness
AU - Li, Yang
AU - Wang, Yong
AU - Thurlbeck, Simon
AU - Su, Meini
N1 - © 2024 The Authors. Published by Elsevier B.V.
PY - 2024/6/1
Y1 - 2024/6/1
N2 - With temperatures rising above 1000 °C within 5 min, hydrocarbon fire causes rapid strength degradation of structural steel members. It is among the most dangerous hazards, such as boiling liquid expanding vapour explosion (BLEVE) in the oil and gas industry. Intumescent coating as passive protection is widely adopted to prevent the steel structure from material property reduction. However, when optimising fire protection with heat transfer simulation, repetitive modelling work and lacking recalculation principle hinder productivity improvement. This method is developed to generate steel beam models and provides an effective algorithm to optimise coating thickness considering the temperature of a specific region. The main functions of the method include: • Providing section dimensions, initial insulation thickness, target temperature and heating time, temperature allowance and mesh size as variables. • Automatically generating the Abaqus steel beam model under 3-side heating conditions. • Effective iteration algorithm to modify fire protection thickness: test containing 38 Universal beam sections with a 5 °C allowance below target shows that 55.2% were completed within five iterations and 76.3% were completed within eight iterations.
AB - With temperatures rising above 1000 °C within 5 min, hydrocarbon fire causes rapid strength degradation of structural steel members. It is among the most dangerous hazards, such as boiling liquid expanding vapour explosion (BLEVE) in the oil and gas industry. Intumescent coating as passive protection is widely adopted to prevent the steel structure from material property reduction. However, when optimising fire protection with heat transfer simulation, repetitive modelling work and lacking recalculation principle hinder productivity improvement. This method is developed to generate steel beam models and provides an effective algorithm to optimise coating thickness considering the temperature of a specific region. The main functions of the method include: • Providing section dimensions, initial insulation thickness, target temperature and heating time, temperature allowance and mesh size as variables. • Automatically generating the Abaqus steel beam model under 3-side heating conditions. • Effective iteration algorithm to modify fire protection thickness: test containing 38 Universal beam sections with a 5 °C allowance below target shows that 55.2% were completed within five iterations and 76.3% were completed within eight iterations.
KW - Heat transfer
KW - Abaqus kernal scripting method
KW - Intumescent coating
KW - Fire safety design
UR - http://www.scopus.com/inward/record.url?scp=85187978963&partnerID=8YFLogxK
UR - https://www.mendeley.com/catalogue/3e80933c-cc60-3551-8d25-e8cc09209e4a/
U2 - 10.1016/j.mex.2024.102632
DO - 10.1016/j.mex.2024.102632
M3 - Article
C2 - 38524304
SN - 2215-0161
VL - 12
JO - MethodsX
JF - MethodsX
M1 - 102632
ER -