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The principal aim of ADDOPTML Network is to create and test an holistic machine learning aided optimum design-manufacturing process of civil structures by developing strong synergies among a multi-disciplinary team of academic experts and SMEs from Belgium, Cyprus, Germany, Greece, Italy, Jordan, Netherlands and Spain. This will be achieved taking advantage of ongoing progress in AM technologies including recycled consumables. Contributing among others to the great challenge becoming Europe the world's first climate-neutral bloc by 2050. In addition, as coronavirus pandemic continues to sweep the World, many countries are facing shortage of intensive care units and emergency rooms; an integrated structural design framework based on AM optimized structural elements for transitional structures will be developed.
The principal aim of the proposed project is to create and test methodologies for the application of optimization techniques in different design phases of civil structures by developing strong synergies among a multi-disciplinary team of SMEs and academic experts. The consortium consists of ACE Hellas, Diadikasia Business Consultants S.A. and the National Technical University of Athens. A first goal of the project is to exploit the use of optimization techniques in computer aided design. Moreover, the Network intends to exchange ideas, propose formulations that correspond to real-life applications and develop solutions for optimal multi-disciplinary architectural design. Of particular interest is the combination of criteria deriving from structural mechanics, eco-design, bioclimatic design and acoustic performance.