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

Sreedhara B. Marulasiddappaa Department of Civil Engineering, Siddaganga Institute of Technology, Tumakuru, India

Sujay Raghavendra Nagannab Department of Civil Engineering, Manipal Institute of Technology Bengaluru, Manipal Academy of Higher Education, Manipal, IndiaCorrespondence[email protected]

https://orcid.org/0000-0002-0482-1936

Praveen K Mc Coastal Hydraulic Structures Division, Central Water and Power Research Station, Pune, India

Adithya Tantrib Department of Civil Engineering, Manipal Institute of Technology Bengaluru, Manipal Academy of Higher Education, Manipal, India

https://orcid.org/0000-0003-1696-8422

Geetha Kuntojid Department of Civil Engineering, BMS College of Engineering, Bengaluru, India

Saad Sh. Sammene Department of Civil Engineering, College of Engineering, University of Diyala, Baqubah, Iraq

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

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

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