Identifying model parameters is nowadays intrinsically linked with quantifying the associated uncertainties. While classical methods allow to handle some types of uncertainties such as experimental noise, they are not designed take into account variability between different test specimens, significant in particular for composites materials. The estimation impact this intrinsic on material prope...

Abstract Determining the composition of a mixed material is an open problem that has attracted interest researchers in many fields. In our recent work, we proposed novel approach to determine using convolutional neural networks (CNNs). machine learning, model “learns” specific task for which it designed through data. Hence, obtaining dataset materials required develop CNNs estimating compositio...

Herein, the synthesis of new quaternary layered Na-based oxides of the type Na x Mn y Ni z Fe0.1Mg0.1O2 (0.67≤ x ≤ 1.0; 0.5≤ y ≤ 0.7; 0.1≤ z ≤ 0.3) is described. The synthesis can be tuned to obtain P2- and O3-type as well as mixed P-/O-type phases as demonstrated by structural, morphological, and electrochemical properties characterization. Although all materials show good electrochemical perf...

The cement-mixed soils technique is an efficient solution to improve the ground geomechanical properties in infrastructures and construction projects. This paper presents a systematic laboratory study investigate optimum water-to-cement ratio existence on unconfined compressive strength. soil compaction controlled during these tests. results showed that maximum strength was not only by porosity...