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Prediction of chloride resistance level of concrete using machine learning for durability and service life assessment of building structures

Year of publication

2022

Authors

Taffese, Woubishet Zewdu; Espinosa-Leal, Leonardo

Organizations and authors

Arcada University of Applied Sciences

Taffese Woubishet Zewdu Orcid -palvelun logo

Espinosa-Leal Leonardo Orcid -palvelun logo

Publication type

Publication format

Article

Parent publication type

Journal

Article type

Original article

Audience

Scientific

Peer-reviewed

Peer-Reviewed

MINEDU's publication type classification code

A1 Journal article (refereed), original research

Publication channel information

Journal

Journal of Building Engineering

Publisher

Elsevier BV

Volume

60

Article number

105146

ISSN

2352-7102

​Publication forum

81927

​Publication forum level

1

Open access

Open access in the publisher’s service

Yes

Open access of publication channel

Fully open publication channel

Self-archived

Yes

Other information

Fields of science

Computer and information sciences

Keywords

[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

Internationality of the publisher

International

Language

English

International co-publication

No

Co-publication with a company

No

DOI

10.1016/j.jobe.2022.105146

The publication is included in the Ministry of Education and Culture’s Publication data collection

Yes