Ismael Ben-Yelun

Universidad Politécnica de Madrid | UPM · Departamento de Aeronaves y Vehículos Aeroespaciales

The uncertainties in material and other properties of structures are often spatially correlated. We introduce an efficient technique for representing and processing spatially correlated random fields in robust topology optimisation of lattice structures. Robust optimisation takes into account the statistics of the structural response to obtain a de...

The uncertainties in material and other properties of structures are often spatially correlated. We introduce an efficient technique for representing and processing spatially correlated random fields in robust topology optimisation of lattice structures. Robust optimisation takes into account the statistics of the structural response to obtain a de...

The uncertainties in material and other properties of structures are usually spatially correlated. We introduce an efficient technique for representing and processing spatially correlated random fields in robust topology optimisation of lattice structures. Robust optimisation considers the statistics of the structural response to obtain a design wh...

Metamaterials are gaining interest with the emergence of the additive manufacturing technologies. Those implies a capability to perform local mechanical optimizations of the designs, as well as versatile external geometries of the components. The software presented is capable to fill a complex design in a .stl format with a given metamaterial, achi...

Research on auxetic metamaterials is important due to their high performance against impact loadings and their usefulness in actuators, among other applications. These metamaterials offer a negative Poisson’s ratio at the macro level. However, usual auxetic metamaterials face challenges in (1) grading the effect, (2) coupling and combining auxetic...

The design and manufacturing of high value industrial components is suffering a change of paradigm with 3D printing. In this change of paradigm, metamaterials have an important role because when a component is 3D-printed, it is performed from the micro level, where custom structures may be designed to endow the material and the component of special...

Applications of Structural Health Monitoring (SHM) combined with Machine Learning (ML) techniques enhance real-time performance tracking and increase structural integrity awareness of civil, aerospace and automotive infrastructures. This SHM-ML synergy has gained popularity in the last years thanks to the anticipation of maintenance provided by ari...

The phenomenological linear theory of orthotropic compressible materials is employed systematically in the engineering and scientific analysis of a large scope of bulk and composite materials. However, at finite elastic strains, multiscale and fiber-based parametric models are typically employed, which material parameters are fitted to macroscopic...