SOURCE-LINKED INTELLIGENCE

Developing Multifunctionally Optimal composite Structures for construction and transportation applications with an emphasis on environmental sustainability

CORDIS · observation · Publication date unknown

work will develop a novel, rapid and high-fidelity physics-based method custom fit for analysing such complex components. On the design side, the project will deliver the first ever Hybrid Multiscale-Artificial Intelligence Topology Optimization toolbox for multifunctional lightweight Additively Manufactured (AM) Composite structures with increased durability and thermal-vibro-acoustic isolation; and decreased net-costs. This will reduce fuel dependency and associated emissions - and subsequently alleviate problems induced by climate change, e.g., glacier retreat. These goals are strongly aligned with the Circular Economic Action Plan, European Green Deal and Fit for 55 policy. For succesful completion, the proposed research plan brings together an enthusiastic and talented researcher with expertise in computational mechanics with an interdisciplinary team of internationally recognized research groups in applied mechanics and Additive Manufacturing. Model Order Reduction, Multiscale, Topology Optimization, Data Driven Methods

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recordType

award

status

CLOSED

region

EU

value

175920

unit

EUR