Artificial Neural Network–Based Numerical Model to Predict Flexural Capacity of Masonry Panels Strengthened with Textile Reinforced Mortar-Reference-Cited by-同舟云学术

Artificial Neural Network–Based Numerical Model to Predict Flexural Capacity of Masonry Panels Strengthened with Textile Reinforced Mortar

Published:2021-02 Issue:1 Volume:25 Page:06020004
ISSN:1090-0268
Container-title:Journal of Composites for Construction
language:en
Short-container-title:J. Compos. Constr.

Author:

Gopinath Smitha¹^ORCID,Kumar Abhishek²^ORCID

Affiliation:

1. Principal Scientist, Theoretical and Computational Mechanics Laboratory, CSIR - Structural Engineering Research Centre, CSIR Campus, Chennai 600113, India. ORCID: .

2. Scientist, Fatigue and Fracture Laboratory, CSIR-Structural Engineering Research Centre, CSIR Campus, Chennai 600113, India (corresponding author). ORCID: .

Publisher

American Society of Civil Engineers (ASCE)

Subject

Mechanical Engineering,Mechanics of Materials,Building and Construction,Civil and Structural Engineering,Ceramics and Composites

Link

http://ascelibrary.org/doi/pdf/10.1061/%28ASCE%29CC.1943-5614.0001104

Reference25 articles.

1. A review of fibrous reinforcements of concrete

2. Flexural Strengthening of RC Beams with an Externally Bonded Fabric-Reinforced Cementitious Matrix

3. Neural networks in materials science;Bhadeshia H. K.;ISIJ Int.,1999

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