Parallel approach of a Galerkin-based methodology for predicting the compressive strength of the lightweight aggregate concrete
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http://hdl.handle.net/10045/92732
Title: | Parallel approach of a Galerkin-based methodology for predicting the compressive strength of the lightweight aggregate concrete |
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Authors: | Migallón, Violeta | Navarro-González, Francisco J. | Penadés, Jose | Villacampa, Yolanda |
Research Group/s: | Computación de Altas Prestaciones y Paralelismo (gCAPyP) | Modelización Matemática de Sistemas |
Center, Department or Service: | Universidad de Alicante. Departamento de Ciencia de la Computación e Inteligencia Artificial | Universidad de Alicante. Departamento de Matemática Aplicada |
Keywords: | Galerkin | Modelling | Parallel algorithms | Compressive strength prediction | Concrete |
Knowledge Area: | Ciencia de la Computación e Inteligencia Artificial | Matemática Aplicada |
Issue Date: | 20-Sep-2019 |
Publisher: | Elsevier |
Citation: | Construction and Building Materials. 2019, 219: 56-68. doi:10.1016/j.conbuildmat.2019.05.160 |
Abstract: | A methodology based on the Galerkin formulation of the finite element method has been analyzed for predicting the compressive strength of the lightweight aggregate concrete using ultrasonic pulse velocity. Due to both the memory requirements and the computational cost of this technique, its parallelization becomes necessary for solving this problem. For this purpose a mixed MPI/OpenMP parallel algorithm has been designed and different approaches and data distributions analyzed. On the other hand, this Galerkin methodology has been compared with multiple linear regression models, regression trees and artificial neural networks. Based on different measures of goodness of fit, the effectiveness of the Galerkin methodology, compared with these statistical techniques for data mining, is shown. |
Sponsor: | This research was supported by the Spanish Ministry of Science, Innovation and Universities Grant RTI2018-098156-B-C54, co-financed by the European Commission (FEDER funds). |
URI: | http://hdl.handle.net/10045/92732 |
ISSN: | 0950-0618 (Print) | 1879-0526 (Online) |
DOI: | 10.1016/j.conbuildmat.2019.05.160 |
Language: | eng |
Type: | info:eu-repo/semantics/article |
Rights: | © 2019 Elsevier Ltd. |
Peer Review: | si |
Publisher version: | https://doi.org/10.1016/j.conbuildmat.2019.05.160 |
Appears in Collections: | INV - gCAPyP - Artículos de Revistas INV - MMS - Artículos de Revistas |
Files in This Item:
File | Description | Size | Format | |
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2019_Migallon_etal_ConsBuildMater_final.pdf | Versión final (acceso restringido) | 1,17 MB | Adobe PDF | Open Request a copy |
2019_Migallon_etal_ConsBuildMater_preprint.pdf | Preprint (acceso abierto) | 561,62 kB | Adobe PDF | Open Preview |
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