MECHANICS
Mechanics of Deformable Solids
DOI.org/10.5281/zenodo.1119147
Samui P., Вocharova A.
PIJUSH SAMUI, Associate Professor, Department of Civil Engineering, e-mail: pijushsamui@gmail.com
National Institute of Technology Patna
Patna, Bihar India, 80005
ANNA BOCHAROVA, Chief of Mechanics and Mathematical Modeling Department, e-mail: bocharova.aa@dvfu.ru
Far Eastern Federal University
8 Sukhanova St., Vladivostok, Russia, 690091
Modeling of compressive strength of masonry structure using relevance vector machine and minimax probability machine regression
Abstract: Compressive Strength (f) of masonry structure is a key parameter for designing masonry structure. This article employs Relevance Vector Machine (RVM) and Minimax Probability Machine Regression (MPMR) for estimation of compressive strength (f) of a masonry structure. RVM is a Bayesian model. MPMR is constructed based on the concept of Minimax Probability Machine Classification. Mortar compressive strength (fm), and brick compression strength (fb) are used as inputs of the RVM and MPMR. The output of RVM and MPMR is f. The results of RVM and MPMR have been compared with the other models. The results show that the developed RVM and MPMR are useful tools for estimation of f of masonry structure.
Key words: compressive strength, masonry structure, relevance vector machine, minimax probability machine regression.
