The first successful outcome of the reported experiment indicates that electron tomography will play an important role in the future for measuring the porosity and pore connectivity of geopolymers enabling predictions of durability and optimization of material properties.
The consistency of the experimental results with model predictions, proves that our chemomechanical model constitutes a useful tool for the prediction of the durability and lifetime of adhesively joined structures.
The semi-crystalline fines -nepheline syenite- appeared appropriate for the design of self-compacting geopolymer concretes due to their bulk composition, capacity to enhance densification and strength with low deformation rate, in a short range of curing together with a high rate of desorption, all important parameters for the prediction of the durability of concretes.
In the context of the prediction of materials durability in multiphysics aggressive environments, we present a numerical model which is able to describe the phenomenon of the oxide layer fracture after the formation of the oxide for Zr/ZrO2 system.
In addition, it is known that the oxygen diffusivity varies with time due to ongoing hydration of cement that might influence significantly the prediction of long term durability performance of concrete (Patel et al. 2016).
The test-conditions were designed long time ago and initially meant to reflect the service life of a module, but the type approval testing is not applicable for prediction of long-term durability behaviour, but a qualification test for the assurance of a minimum quality level.
It emphasizes the importance of durability prediction, system reliability analysis, emissions prediction, engine transient modeling, air system integration, and virtual engine calibration.
The results should help in prediction of macroscopic response and durability of FRPs.
Durability prediction of EVA, and thus of the module, is a hot topic in PV process industry.
Prediction of service loads for durability studies is an important application of vehicle dynamics simulation in the automotive industry.
