Articles producció científicaEnginyeria Mecànica

Use of operational research techniques for concrete mix design: A systematic review

  • Datos identificativos

    Identificador:  imarina:9296449
    Autores:  Rosa, Ana Carolina; Hammad, Ahmed W A; Boer, Dieter; Haddad, Assed
    Resumen:
    Traditional methods for designing concrete mixtures provide good results; however, they do not guarantee the optimum composition. Consequently, applying operational research techniques is motivated by an increasing need for designers to proportion the concrete's raw materials that satisfy the concrete performance requirements such as mechanical properties, chemical properties, workability, sustainability, and cost. For this reason, many authors have been looking for mathematical programming and machine learning solutions to predict concrete mix properties and optimise concrete mixtures. Therefore, a comprehensive review of operational research techniques concerning the design and proportioning of concrete mixtures and a classification framework are presented herein.
  • Otros:

    Enlace a la fuente original: https://www.sciencedirect.com/science/article/pii/S2405844023025690
    Referencia de l'ítem segons les normes APA: Rosa, Ana Carolina; Hammad, Ahmed W A; Boer, Dieter; Haddad, Assed (2023). Use of operational research techniques for concrete mix design: A systematic review. Heliyon, 9(4), e15362-. DOI: 10.1016/j.heliyon.2023.e15362
    Referencia al articulo segun fuente origial: Heliyon. 9 (4): e15362-
    DOI del artículo: 10.1016/j.heliyon.2023.e15362
    Año de publicación de la revista: 2023
    Entidad: Universitat Rovira i Virgili
    Versión del articulo depositado: info:eu-repo/semantics/publishedVersion
    Fecha de alta del registro: 2025-02-24
    Autor/es de la URV: Boer, Dieter-Thomas
    Departamento: Enginyeria Mecànica
    URL Documento de licencia: https://repositori.urv.cat/ca/proteccio-de-dades/
    Tipo de publicación: Journal Publications
    Autor según el artículo: Rosa, Ana Carolina; Hammad, Ahmed W A; Boer, Dieter; Haddad, Assed
    Acceso a la licencia de uso: https://creativecommons.org/licenses/by/3.0/es/
    Áreas temáticas: Multidisciplinary sciences, Multidisciplinary, Medicina i, Ciências biológicas ii, Ciências biológicas i, Biotecnología
    Direcció de correo del autor: dieter.boer@urv.cat
  • Palabras clave:

    Optimisation
    Mathematical programming
    Machine learning
    Concrete mix design
    Artificial neural-network
    sustainable concrete
    silica fume
    self-consolidating concrete
    mechanical-properties
    fly-ash
    elastic-modulus
    compressive strength prediction
    carbonation depth
    autogenous shrinkage
    Multidisciplinary
    Multidisciplinary Sciences
    Medicina i
    Ciências biológicas ii
    Ciências biológicas i
    Biotecnología
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