RDL logo
About
Aims and ScopeAdvisory Board Members
More
Who We Are?
User Guide
​
​
Sign inGet started
​
​

About
Aims and ScopeAdvisory Board Members
More
Who We Are?
User Guide

Sign inGet started
RDL logo

Verified research datasets. Instant access. Built for collaboration.

Navigation

About

Aims and Scope

Advisory Board Members

More

Who We Are?

Add Raw Data

User Guide

Legal

Privacy Policy

Terms of Service

Support

Got an issue? Email us directly.

Email: info@rawdatalibrary.netOpen Mail App
​
​

© 2025 Raw Data Library. All rights reserved.
PrivacyTerms
  1. Raw Data Library
  2. /
  3. Publications
  4. /
  5. Experimental study on ceiling smoke temperature distributions in near field of pool fires in the subway train

Verified authors • Institutional access • DOI aware
50,000+ researchers120,000+ datasets90% satisfaction
Article
English
2020

Experimental study on ceiling smoke temperature distributions in near field of pool fires in the subway train

0 Datasets

0 Files

English
2020
Journal of Wind Engineering and Industrial Aerodynamics
Vol 199
DOI: 10.1016/j.jweia.2020.104135

Get instant academic access to this publication’s datasets.

Create free accountHow it works

Frequently asked questions

Is access really free for academics and students?

Yes. After verification, you can browse and download datasets at no cost. Some premium assets may require author approval.

How is my data protected?

Files are stored on encrypted storage. Access is restricted to verified users and all downloads are logged.

Can I request additional materials?

Yes, message the author after sign-up to request supplementary files or replication code.

Advance your research today

Join 50,000+ researchers worldwide. Get instant access to peer-reviewed datasets, advanced analytics, and global collaboration tools.

Get free academic accessLearn more
✓ Immediate verification • ✓ Free institutional access • ✓ Global collaboration
Access Research Data

Join our academic network to download verified datasets and collaborate with researchers worldwide.

Get Free Access
Institutional SSO
Secure
This PDF is not available in different languages.
No localized PDFs are currently available.
Long Shi
Long Shi

University Of Science And Technology Of China

Verified
Min Peng
Xudong Cheng
Kun He
+3 more

Abstract

Several existing studies have been performed on the fire characteristics of traditional tunnel and enclosure models; however, these findings may not be applicable to a subway train with a special confined structure. Therefore, to investigate the smoke temperature distributions under conditions involving different fire locations and door statuses, a set of experiments were conducted by using a reduced-scale subway train model. The results indicated that the longitudinal and transverse temperature distributions correspond to the exponential decay law, although the transverse temperature does not exhibit a regular distribution under certain conditions. Furthermore, the previously developed empirical models were not applicable to the subway train considered in this work. Consequently, empirical models similar to those involving the exponential function were developed to predict both the longitudinal and transverse smoke temperature distributions. The corresponding results exhibited a reasonable fit with the experimental data. The powers of the exponential functions were noted to be proportional to the dimensionless heat release rate, with values of 0.4 and 0.3 for the longitudinal and transverse smoke temperature distributions, respectively. The research findings and empirical models provide a reference for the fire risk assessment of subway train or other similar frameworks.

How to cite this publication

Min Peng, Xudong Cheng, Kun He, Cong Wei, Long Shi, Richard K.K. Yuen (2020). Experimental study on ceiling smoke temperature distributions in near field of pool fires in the subway train. Journal of Wind Engineering and Industrial Aerodynamics, 199, pp. 104135-104135, DOI: 10.1016/j.jweia.2020.104135.

Related publications

Why join Raw Data Library?

Quality

Datasets shared by verified academics with rich metadata and previews.

Control

Authors choose access levels; downloads are logged for transparency.

Free for Academia

Students and faculty get instant access after verification.

Publication Details

Type

Article

Year

2020

Authors

6

Datasets

0

Total Files

0

Language

English

Journal

Journal of Wind Engineering and Industrial Aerodynamics

DOI

10.1016/j.jweia.2020.104135

Join Research Community

Access datasets from 50,000+ researchers worldwide with institutional verification.

Get Free Access