Strength assessment of structural masonry walls: analysis based on machine learning approaches-Reference-Cited by-同舟云学术

Strength assessment of structural masonry walls: analysis based on machine learning approaches

Published:2024-04-09 Issue:1 Volume:20 Page:505-524
ISSN:1687-4048
Container-title:HBRC Journal
language:en
Short-container-title:HBRC Journal

Author:

Marulasiddappa Sreedhara B.¹,Naganna Sujay Raghavendra²^ORCID,K M Praveen³,Tantri Adithya²^ORCID,Kuntoji Geetha⁴,Sammen Saad Sh.⁵

Affiliation:

1. Department of Civil Engineering, Siddaganga Institute of Technology, Tumakuru, India

2. Department of Civil Engineering, Manipal Institute of Technology Bengaluru, Manipal Academy of Higher Education, Manipal, India

3. Coastal Hydraulic Structures Division, Central Water and Power Research Station, Pune, India

4. Department of Civil Engineering, BMS College of Engineering, Bengaluru, India

5. Department of Civil Engineering, College of Engineering, University of Diyala, Baqubah, Iraq

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/16874048.2024.2334507

Reference29 articles.

1. Masonry walls: materials and construction

2. Murty CVR, Jain SK, Beneficial influence of masonry infill walls on seismic performance of RC frame buildings, in: 12th World Conference on Earthquake Engineering, Auckland, New Zealand, 2000: pp. 1–6. [cited 2022 Apr 30]. https://www.iitk.ac.in/nicee/wcee/article/1790.pdf

3. Brick-Mortar Bond and Masonry Compressive Strength

4. Compressive behaviour of brick masonry triplets in wet and dry conditions

5. In-Plane Behaviour of Masonry Walls: Numerical Analysis and Design Formulations

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