Parallel approach of a Galerkin-based methodology for predicting the compressive strength of the lightweight aggregate concrete-Reference-Cited by-同舟云学术

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Parallel approach of a Galerkin-based methodology for predicting the compressive strength of the lightweight aggregate concrete

Published:2019-09 Issue: Volume:219 Page:56-68
ISSN:0950-0618
Container-title:Construction and Building Materials
language:en
Short-container-title:Construction and Building Materials

Author:

Migallón Violeta,Navarro-González Francisco,Penadés Jose,Villacampa Yolanda

Funder

Spanish Ministry of Science, Innovation and Universities

European Commission

Publisher

Elsevier BV

Subject

General Materials Science,Building and Construction,Civil and Structural Engineering

Reference47 articles.

1. Numerical Methods for Engineers;Chapra,2011

2. Numerical Partial Differential Equations: Finite Difference Methods;Thomas,2013

3. Boundary Element Techniques: Theory and Applications in Engineering;Brebbia,2012

4. Finite volume methods;Eymard;Handb. Numer. Anal.,2000

5. The Combined Finite-Discrete Element Method;Munjiza,2004

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1. Benchmarking AutoML solutions for concrete strength prediction: Reliability, uncertainty, and dilemma;Construction and Building Materials;2024-04

2. Designing a parallel nonlinear model for predicting nitrogen oxide emissions;AIP Conference Proceedings;2024

3. A Machine Learning Approach to Prediction of the Compressive Strength of Segregated Lightweight Aggregate Concretes Using Ultrasonic Pulse Velocity;Applied Sciences;2023-02-02

4. A parallel methodology using radial basis functions versus machine learning approaches applied to environmental modelling;Journal of Computational Science;2022-09

5. Machine learning in concrete science: applications, challenges, and best practices;npj Computational Materials;2022-06-06

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