A machine learning approach based on multifractal features for crack assessment of reinforced concrete shells-Reference-Cited by-同舟云学术

A machine learning approach based on multifractal features for crack assessment of reinforced concrete shells

Author:

Athanasiou Apostolos¹^ORCID,Ebrahimkhanlou Arvin¹^ORCID,Zaborac Jarrod¹^ORCID,Hrynyk Trevor²^ORCID,Salamone Salvatore¹^ORCID

Affiliation:

1. Ferguson Structural Engineering Laboratory (FSEL)The University of Texas at AustinAustin TX USA

2. Department of Civil and Environmental EngineeringUniversity of WaterlooWaterloo Ontario Canada

Funder

Texas Department of Transportation

Publisher

Wiley

Subject

Computational Theory and Mathematics,Computer Graphics and Computer-Aided Design,Computer Science Applications,Civil and Structural Engineering

Link

Reference65 articles.

1. AASHTO (American Association of State Highway Tranportation Officials). (2017).AASHTO LRFD bridge design specifications.

4. The OpenCV library;Bradski G.;Dr. Dobb's Journal of Software Tools,2000

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