Automated Author Profile

Farage, Michele C. R.

Current S-Index

2.4

Sum of Dataset Indices for all datasets

Average Dataset Index per Dataset

1.2

Average Dataset Index per dataset

Total Datasets

2

Total datasets for this author

Average FAIR Score

80.8%

Average FAIR Score per dataset

Total Citations

2

Total citations to the author's datasets

Total Mentions

0

Total mentions of the author's datasets

S-Index Interpretation

S-Index Over Time

Cumulative Citations Over Time

Cumulative Mentions Over Time

Datasets

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

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.

Authors

  • Aldemon L. Bonifácio ;
  • Mendes, Julia C. ;
  • Farage, Michele C. R. ;
  • Barbosa, Flavio S. ;
  • Barbosa, Ciro B. ;
  • Anne-Lise Beaucour
1 Citation0 Mentions81% FAIR1.2 Dataset Index
10.6084/m9.figshare.95992672019

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

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.

Authors

  • Aldemon L. Bonifácio ;
  • Mendes, Julia C. ;
  • Farage, Michele C. R. ;
  • Barbosa, Flavio S. ;
  • Barbosa, Ciro B. ;
  • Anne-Lise Beaucour
1 Citation0 Mentions81% FAIR1.2 Dataset Index
10.6084/m9.figshare.9599267.v12019