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Application of Support Vector Machine and Finite Element Method to predict the mechanical properties of concrete

Authors :
Anne-Lise Beaucour
Flávio de Souza Barbosa
Júlia Castro Mendes
Ciro de Barros Barbosa
Aldemon Lage Bonifácio
Michèle Cristina Resende Farage
Source :
Latin American Journal of Solids and Structures v.16 n.7 2019, Latin American journal of solids and structures, Associação Brasileira de Engenharia e Ciências Mecânicas (ABCM), instacron:ABCM
Publication Year :
2019
Publisher :
FapUNIFESP (SciELO), 2019.

Abstract

Compressive strength and Young’s modulus are the main properties used in the design of concrete structures. They are responsible for the cost, safety and dimensioning of the structure, and are generally measured in expensive and time-demanding tests. This fact encourages researches for fast and cost-effective methods to investigate the concrete’s properties. Among the concrete types, structural Lightweight Aggregate Concrete (LWAC) is one of the most employed worldwide, but it presents limited studies and mix design techniques. Thus, this work evaluates and compares the performances of two methods to predict the compressive strength of LWAC samples: Support Vector Machine and Finite Element Method. To this end, both strategies use the LWAC’s mix proportions and the Young’s modulus, and the compressive strength of mortars and aggregates obtained from an experimental program from the literature. The results encourage further researches towards the development of a numerical tool that may assist engineers for practical purposes, since both methods show good agreement with the validation data.

Details

ISSN :
16797825 and 16797817
Volume :
16
Database :
OpenAIRE
Journal :
Latin American Journal of Solids and Structures
Accession number :
edsair.doi.dedup.....cda8947ab93df35d3813b8ce9bb7871e
Full Text :
https://doi.org/10.1590/1679-78255297