ADDOPTML
ADDOPTML
PROJECT DATA
Project Coordinator: NTUA – National Technical University of Athens
Category: Additive manufacturing, Optimization, Computational Engineering
Location: EU member states and Associated countries
Start: 05/2021 – End: 05/2025
ADDitively Manufactured OPTimized Structures by means of Machine Learning – ‘ADDOPTML’
Marie Skłodowska-Curie Actions (MSCA) Research and Innovation Staff Exchange (RISE)
Project co-funded from the EC under the call Horizon 2020 H2020-MSCA-RISE-2020 Grant Agreement ID: 101007595
PROJECT DATA
Project Coordinator: NTUA – National Technical University of Athens
Category: Additive manufacturing, Optimization, Computational Engineering
Location: EU member states and Associated countries
Start: 05/2021 – End: 05/2025
ADDitively Manufactured OPTimized Structures by means of Machine Learning — ‘ADDOPTML’
Marie Skłodowska-Curie Actions (MSCA) Research and Innovation Staff Exchange (RISE) – Project co-funded from the EC under the call Horizon 2020 H2020-MSCA-RISE-2020 Grant Agreement ID: 101007595
RESULTS
Secondment activites
among 5 years
High quality seminars,
international conferences and joint diploma thesis
Months of Idea75’s
secondments
OBJECTIVES
SOLUTIONS
MORE IN DEPTH
ADDOPTML is structured along the following research objectives:
- To derive a comprehensive library of data driven constitutive laws for structural materials (metals and concrete) to be employed in additively manufactured civil structures;
- To develop a high-fidelity yet rapid data driven topology optimisation environment for additively manufactured structural components building on physics rich simulations and experimental testing of scaled models.
- To provide a fully automated design workflow for additively manufactured structures based on the generative design paradigm;
- To apply this novel and fully automated design workflow for the case of rapidly deployable steel and concrete structures custom fit for post-disaster sheltering solutions;
- To deliver design protocols for additively manufactured structural components to be deployed in space applications.
The Network’s goal is to nurture competent researchers, highly trained engineers and scientists. To achieve this, ADDOPTML will put in place research interactions that will expose all involved parties to interdisciplinary research activities taking place in institutions and SMEs from seven EU-MS and one Third Country.
Furthermore, it sets to provide more than 30 early-stage researchers and engineers with the opportunity to be trained by world leading academic and industrial experts and acquire skills in Additive Manufacturing, Engineering Optimization, Machine Learning, and Generative design.























