The rapid expansion of the architectural, engineering, and construction industry (AECI) worldwide is contributing to large waste generation, high energy consumption, and serious environmental pollution. The European Green Deal impels the AECI to minimize the use of materials and waste. Additive manufacturing (AM) is a flexible and automated process that can produce complex geometry objects, reducing the production time. The ADDOPTML2024 will develop a comprehensive machine learning-based design manufacturing process for civil structures. It will encourage synergies between multidisciplinary academic experts. It will rely on the advancement of AM technologies, including recycled consumables, addressing the shortage of hospital units during the COVID-19 pandemic.
The principal aim of OPTARCH2024 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 academic experts. The first goal of OPTARCH2024 is to exploit the use of shape and topology optimization techniques in computer-aided architectural design. Moreover, the Network wants 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.
The proposed OPT-ii2024 special interest conference will facilitate the exchange of ideas on topics of mutual interest and can serve as a platform for establishing links between research groups with complementary activities. Thus, the communities of Mathematical Programming and Nature-Inspired Search Algorithms will become more familiar with important application areas with great social impact, arising from real-world problems. These areas range from practical applications in structural, aerospace, mechanical, civil, chemical, naval, and bio-engineering to applied problems in economics, physics, and biology. Moreover, communities of Applied Sciences and Engineering will benefit from this interaction, since they will be exposed to advanced computational methods and software tools which can highly assist in tackling combinatorial optimization problems.
Sessions related to specific topics of the Conference will be introduced by Keynote Lectures which will be complemented by invited Minisymposia, organized by recognized experts in research areas of current interest, as well as by contributed papers.