Metamodel-based analysis for steel joints designed by topological optimisation applied to additive manufacturing

Analysis based on metamodels for steel joints designed using topological optimisation applied to additive manufacturing

Start - end dates: 01/09/2021 -

researcher Principal: Beatriz Gil and Rufino Goñi

Other researchers: Eduardo Bayo

Assistants research: Juan Carlos Sánchez and Adam Jorquera

Participating entities: 

- University of Navarra (department CIE)

summary:

This project aims to continue the methodology initiated in the previous project by extending and optimising the characterisation to new types of joints by means of metamodels and cruciform elements that simplify their possible implementation for the global analysis of the structure. 

In this project, the new joint typology on which the University of Navarra team will focus its research will be beam-pillar joints designed using new metal additive manufacturing technologies and applying structural topological optimisation techniques. This combination allows us to create the desired weight-stiffness ratio, which is achieved through complex designs that cannot be manufactured by traditional methods using profiles and welded plates. 

These optimised, additively manufactured joints can represent an advance in the industrialisation of construction, the realisation of singular elements that are difficult to execute by traditional methods, efficiency in the use of materials, ease of assembly, standardisation and reuse of structural elements, with the consequent contribution to sustainability. However, they require greater use of advanced computational analysis and the inevitable need for experimental checks, as there are different manufacturing technologies and numerous variables to handle.

The research of these design and fabrication techniques for steel joints, together with the metamodelling analysis, initiated in the previous project, can contribute to a major boost in the use of this subject of joints.

Funding body: Ministry of Science and Innovation.

Amount financed: €56,628.