All

What are you looking for?

All
Projects
Results
Organizations

Quick search

  • Projects supported by TA ČR
  • Excellent projects
  • Projects with the highest public support
  • Current projects

Smart search

  • That is how I find a specific +word
  • That is how I leave the -word out of the results
  • “That is how I can find the whole phrase”

Soft computing methods in concrete mix performance approximation and optimization

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21110%2F12%3A00198132" target="_blank" >RIV/68407700:21110/12:00198132 - isvavai.cz</a>

  • Result on the web

    <a href="http://klobouk.fsv.cvut.cz/~leps/publications/pdf/habilitation.pdf" target="_blank" >http://klobouk.fsv.cvut.cz/~leps/publications/pdf/habilitation.pdf</a>

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Soft computing methods in concrete mix performance approximation and optimization

  • Original language description

    The aim of this work is to show possible applications of soft computing tools within one specific problem of a material design domain. Since the main emphasis of the presented work is placed on soft computing methods, the phenomenon of hydrating cement is only sketched. The objectives are concentrated at an approximation and optimization of hydration heat by soft computing techniques, taking into account chemical and physical cement composition and boundary conditions. The works starts with the Design of Experiments (DoE) for sampling-based sensitivity analysis to investigate the influence of individual components and processes during concrete hydration. The identification of important models' parameters from obtained experimental data is briefly summarized. Then, the combination of approximation techniques, so-called Kriging metamodel combined with the Genetic Programming algorithm aims at prediction of hydration heat solely from experimental data sets. The Kriging method gives good p

  • Czech name

  • Czech description

Classification

  • Type

    O - Miscellaneous

  • CEP classification

    JN - Civil engineering

  • OECD FORD branch

Result continuities

  • Project

    <a href="/en/project/GP103%2F07%2FP554" target="_blank" >GP103/07/P554: Multi-objective optimization of concrete mixture design based on computer simulation</a><br>

  • Continuities

    Z - Vyzkumny zamer (s odkazem do CEZ)

Others

  • Publication year

    2012

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů