Salim Belouettar

Salim Belouettar

Salim Belouettar

Research Group Leader at Luxembourg Institute of Science and Technology (LIST)

Dr Salim Belouettar (SB) is the head of the Design and Durability research group at Luxembourg Institute of Science and technology, Luxembourg. SB research work includes the development and validation of reliable models and efficient simulation tools to describe and understand engineered complex non-linear behaviours, on a wide range of spatial and temporal scales, with an emphasis on advanced composite materials and structures.

During his career, SB collaborated with many world leading industries such as AIRBUS, Thales Alenia space, the European Space Agency, etc. In the last 15 years, SB has been awarded a number of research grants from national and international funding agencies and coordinated two EC-funded projects (FP6-CASSEM and H-2020 COMPOSELECTOR projects). SB published about 155 SCOPUS referenced journal papers (H-index: 23 Scopus) and attracted more than 10 Million Euro competitive funding. SB is member of the editorial board of many scientific journals such as Composite Structures and acting as reviewer for about 20 international journals. SB is acting as reviewer/expert for many national and international funding agencies and active member in many international research organisations like ESF and ERCIM.

Read more about Salim and his work here.

Abstract Title: Integration of materials modelling into Business Decision Support Systems case of the H2020 COMPOSECLETOR project.

Abstract: The integration of modelling and simulations techniques to support material selection and design process is more and more impelling in the materials science and industrial domains, due to the need of effectively designing and producing increasingly sophisticated materials, components and systems with advanced performance on a competitive time scale. In this perspective, for complex structural materials there is a particular need in industry for chemistry/physics-based materials models and modelling workflows that fulfil the following requirements: i) predicting relevant properties and key performance indicators that capture the performance of materials, accounting for material internal microstructure and effects of processing and ii) accuracy/validation of predicted data, and relevant management of uncertainty. Materials selection and structural design are fundamentally goal-oriented, aimed at identifying material structures and processing paths that deliver required properties and performance. To be reliable, this process must be built upon a physical and engineering framework and based upon methods that are systemic, effective and efficient in modelling complex, hierarchical materials. For material design and selection, understanding and quantifying the links between material microstructure and their macroscopic effects is, therefore, essential. In parallel, high performance requires not only comprehensive material properties modelling but also understanding of risks, costs, and business opportunities for a range of decisions, from material selection to designing functional structural components and systems, and for process optimization. Last but not least, design and selection of must also accommodate societal requirements for health and sustainability. In my presentation, I will talk about the connection between material modelling and business processes where the coupling between performance, material, manufacturing process, cost, market and societal requirements constraints are exploited.

Main Fields of Interest: Composite Material and Structure, Computational Mechanics, Materials by Design.