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The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21110%2F25%3A00384942" target="_blank" >RIV/68407700:21110/25:00384942 - isvavai.cz</a>

  • Result on the web

    <a href="https://github.com/jakub-houlik/SCB_Importer" target="_blank" >https://github.com/jakub-houlik/SCB_Importer</a>

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    SCB_Importer

  • Original language description

    This software application provides an advanced environment for the evaluation of SCB (Semi-Circular Bend) test results on asphalt specimens. It significantly accelerates data processing and ensures a transparent and user-friendly workflow through an integrated graphical user interface. The program automatically distinguishes individual loading cycles within raw experimental records and allows the user to refine and adjust interval boundaries through intuitive graphical tools. Subsequently, all validated data are exported into a structured, readable table, suitable for further statistical analysis, comparison, or integration into larger research datasets. Designed to be accessible even for non-specialist users, the application bridges the gap between experimental testing and comprehensive evaluation, thereby enhancing both the efficiency and the reliability of SCB fatigue assessment.

  • Czech name

  • Czech description

Classification

  • Type

    R - Software

  • CEP classification

  • OECD FORD branch

    20501 - Materials engineering

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2025

  • Confidentiality

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

Data specific for result type

  • Internal product ID

    SCB_Importer

  • Technical parameters

    Software byl vyvinut v programovacím jazyce Python 3, ovládání pomocí hlavního skriptu, kde se nastavují jednotlivé řídící parametry modelu strojového učení. Vyvíjeno jako open-source (GNU General Public License).

  • Economical parameters

    Využití softwaru významně uspoří prostředky pro vyhodnocení vlastností aslfaltových směsí pomocí SCB testu.

  • Owner IČO

    68407700

  • Owner name

    České vysoké učení technické v Praze