Title
Soft computing-based models for the prediction of masonry compressive strength
Date Issued
01 December 2021
Access level
open access
Resource Type
journal article
Author(s)
Asteris P.G.
Lourenço P.B.
Hajihassani M.
Adami C.E.N.
Lemonis M.E.
Skentou A.D.
PEDREIRA MARQUES, RUI FILIPE
Nguyen H.
Rodrigues H.
Varum H.
University of Minho
Publisher(s)
Elsevier Ltd
Abstract
Masonry is a building material that has been used in the last 10.000 years and remains competitive today for the building industry. The compressive strength of masonry is used in modern design not only for gravitational and lateral loading, but also for quality control of materials and execution. Given the large variations of geometry of units and joint thickness, materials and building practices, it is not feasible to test all possible combinations. Many researchers tried to provide relations to estimate the compressive strength of masonry from the constituents, which remains a challenge. Similarly, modern design codes provide lower bound solutions, which have been demonstrated to be weakly correlated to observed test results in many cases. The present paper adopts soft-computing techniques to address this problem and a dataset with 401 specimens is considered. The obtained results allow to identify the most relevant parameters affecting masonry compressive strength, areas in which more experimental research is needed and expressions providing better estimates when compared to formulas existing in codes or literature.
Volume
248
Language
English
OCDE Knowledge area
Informática y Ciencias de la Información
Ingeniería de sistemas y comunicaciones
Matemáticas
Subjects
Scopus EID
2-s2.0-85116401827
Source
Engineering Structures
ISSN of the container
01410296
DOI of the container
10.1016/j.engstruct.2021.113276
Source funding
Malayer University
University of Leeds
Universidade Federal de Santa Maria
Sponsor(s)
The authors would like to express their sincere gratitude to Dr. Pere Roca, Professor at the Technical University of Catalonia, Dr. Vlatko Bosiljkov, Professor at the University of Ljubljana, Dr. Yogendra Singh, Professor at the Indian Institute of Technology Roorkee, Dr. Luca Pelà, Associate Professor at the Technical University of Catalonia, Dr. Liborio Cavaleri, Associate Professor at the University of Palermo, Dr. Amin Mohebkhah, Associate Professor at the Malayer University, and Dr. Dora Silveira, Postdoctoral researcher at the University of Porto, for providing experimental data related to masonry walls tested in compression. Moreover, the authors would like to thank Dr. Gihad Mohamad, Professor at the Federal University of Santa Maria, Dr. André Lübeck, Adjunct Professor at the Federal University of Santa Maria, Dr. Còssima Cornadó, Postdoctoral researcher at the Technical University of Catalonia, and Dr. Anastasios Drougkas, Postdoctoral researcher at School of Civil Engineering, University of Leeds, for providing clarifications on their articles referenced in the present paper.
Sources of information:
Directorio de Producción Científica
Scopus