A multiple back propagation neural network fusion algorithm for ceiling temperature prediction in tunnel fires

B Sun, ZD Xu, H Zhou - Engineering Structures, 2023 - Elsevier
This study presents a multiple back propagation neural network (BPNN) fusion algorithm to
predict the ceiling temperature distribution and the maximum ceiling temperature in tunnel …

An improved updatable backpropagation neural network for temperature prognosis in tunnel fires

B Sun, X Liu, ZD Xu, D Xu - Journal of Performance of Constructed …, 2022 - ascelibrary.org
Because it is impossible to predict the temperature in advance, specific fire scenes (fire type,
fire location, tunnel geometry, etc.) are unknown in traditional tunnel fire research. To …

Automatic data generation method for precise ceiling temperature prediction of cables fire in the utility tunnel and full-scale experimental verification

B Sun, ZD Xu - Fire Technology, 2022 - Springer
Being impossible to carry out ceiling temperature prediction in tunnel fires, the specific fire
scene (fire type, fire location, number of fire sources, etc.) are unknown in the commonly …

Flame extension length and temperature profile beneath ceiling induced by endwall-attached fire inside compartment with lateral openings

M Peng, Z Wu, W Miao, D Qin, D Li, Y Ming… - Journal of Building …, 2024 - Elsevier
This study experimentally investigated the fire characteristics of endwall-attached fire within
the long-narrow compartment, including the flame extension and temperature profile …

Introduction to Fire-Cracked Rock Analysis

F Neubauer - Fire-Cracked Rock Analysis: A Guide to Function …, 2024 - Springer
This chapter introduces the book by presenting an overview of fire-cracked rock (FCR)
research, including cutting edge techniques employed to study FCR, such as organic …