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Application of Support Vector Machine and Finite Element Method to predict the mechanical properties of concrete
- 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.
- Subjects :
- Lightweight Aggregate Concrete
Aggregate (composite)
Computer science
business.industry
Mechanical Engineering
Support Vector Regression
Aerospace Engineering
Modulus
Ocean Engineering
Structural engineering
Finite element method
Support vector machine
Compressive strength
Properties of concrete
Mechanics of Materials
Finite Element Method
Automotive Engineering
Computational Intelligence
General Materials Science
Mortar
business
Dimensioning
Civil and Structural Engineering
Subjects
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