Artificial Neural Networks for the Spalling Classification & Failure Prediction Times of High Strength Concrete Columns

John McKinney, Faris Ali

Research output: Contribution to journal › Article › peer-review

Original language	English
Pages (from-to)	203-214
Journal	Journal of structural Fire Engineering
Volume	5
Issue number	3
DOIs	https://doi.org/10.1260/2040-2317.5.3.203
Publication status	Published (in print/issue) - 1 Sept 2014

Access to Document

@article{51b95af0c43a43449ef781f78fda6d8a,

title = "Artificial Neural Networks for the Spalling Classification & Failure Prediction Times of High Strength Concrete Columns",

author = "John McKinney and Faris Ali",

year = "2014",

month = sep,

day = "1",

doi = "10.1260/2040-2317.5.3.203",

language = "English",

volume = "5",

pages = "203--214",

journal = "Journal of structural Fire Engineering",

publisher = "Emerald Publishing",

number = "3",

}

TY - JOUR

T1 - Artificial Neural Networks for the Spalling Classification & Failure Prediction Times of High Strength Concrete Columns

AU - McKinney, John

AU - Ali, Faris

PY - 2014/9/1

Y1 - 2014/9/1

UR - http://multi-science.metapress.com/content/l7h05q014n5rq6r4/

UR - https://pure.ulster.ac.uk/en/publications/artificial-neural-networks-for-the-spalling-classification-amp-fa-3

U2 - 10.1260/2040-2317.5.3.203

DO - 10.1260/2040-2317.5.3.203

M3 - Article

VL - 5

SP - 203

EP - 214

JO - Journal of structural Fire Engineering

JF - Journal of structural Fire Engineering

IS - 3

ER -