Descripción del proyecto
Mejor predicción de la vida de los componentes de centrales nucleares
Se necesitan métodos eficaces para predecir la vida de los componentes a fin de garantizar que las centrales nucleares funcionen de forma segura y fiable. Se espera que las pruebas de fatiga ambiental de los componentes hagan progresar estos métodos. Sin embargo, los limitados datos de pruebas restringen la transferibilidad de los ensayos de laboratorio a geometrías de componentes y cargas reales. Para solucionar este problema, el proyecto financiado con fondos europeos INCEFA-SCALE tiene como objetivo mejorar la capacidad de predecir la vida de los componentes de centrales nucleares cuando se someten a fatiga asistida por el medio ambiente. Por lo tanto, desarrollará unos conocimientos exhaustivos al examinar detalladamente muestras de ensayo y realizar extracción de datos. Además, probará aspectos específicos de las cargas cíclicas de los componentes. El proyecto contribuirá a la predicción avanzada de la vida de los componentes de las centrales nucleares.
Objetivo
The objective is to continue work, advancing ability to predict lifetimes of Nuclear Plant components when subjected to Environmental Assisted Fatigue loading. Over the five years proposed for INCEFA-SCALE, EPRI in the USA is leading a series of component scale environmental fatigue tests. These are expected to advance data availability significantly; however, advances in addressing transferability of laboratory scale tests to real component geometries and loadings will still be constrained by limited test data. This knowledge gap is recognised worldwide as significant.
INCEFA-SCALE will generate significantly increased understanding of the transferability of laboratory scale test data to component scale. The project strategy will be (1) the development of comprehensive mechanistic understanding developed through detailed examination of test specimens and MatDB data mining, and (2) testing focussed on particular aspects of component scale cyclic loading. Examples of tests possible include, uniaxial specimens with notches (to address complex loads), membrane tests (to address biaxiality), thermo-mechanical tests (to address thermal cycling and thermal gradient effects), and complex wave tests (to address real plant transient effects). The project will begin by “data mining” to extract maximum understanding from the vast amount of test data within JRC’s MatDB database (from the predecessor INCEFA-PLUS project, and from other external sources such as USNRC, EPRI, MHI and the AdFaM project). In parallel the test program needs will be agreed. Testing will commence after one year and run for 3 years. Finally, the project will deliver guidance on use of laboratory scale data for component scales.
Industrial support, is demonstrated by over €3M matching funds and positive endorsements from EPRI, ENEN and NUGENIA. EC support will enable maximum consistency and coordination of testing and assessment.
Ámbito científico
Palabras clave
Programa(s)
- H2020-Euratom - Euratom Main Programme
- H2020-Euratom-1. - Indirect actions
Régimen de financiación
RIA - Research and Innovation actionCoordinador
WA16 8QZ Knutsford
Reino Unido