Proceedings of the International Conferences on Digital Technology Driven Engineering 2024 ADDitively Manufactured OPTimized Structures by means of Machine Learning (ADDOPTML)

This book gathers the latest advances, innovations, and applications in the field of engineering optimization and architectural design, presented at the 1st International Conference on ADDitively Manufactured OPTimized Structures by means of Machine Learning (ADDOPTML), held in Amman, Jordan, on October 1–4, 2024, jointly with conferences OPTARCH2024 and OPT-ii2024. It covers topics such as machine learning-based design manufacturing process for civil structures, additive manufacturing optimized structural elements, holistic machine learning aided, linear, nonlinear, stochastic, parametric, discrete and dynamic programming—modelling, hybrid methods with metaheuristics, machine learning, game theory, mathematical programming, constraint programming, co-evolutionary, emergent nature-inspired algorithms such as quantum computing and artificial immune systems. Written by leading researchers and engineers, and selected by means of a rigorous international peer-review process, the contributions highlight numerous exciting ideas that will spur novel research directions and foster multidisciplinary collaborations.

Integration of 3D Printing and Machine Learning in Sustainable Construction Feasibility and Challenges.- Form finding and Automated Fabrication of GFRP Panels with Double Curvate for a Canopy Structure.- Enhancing the Mix Design in 3D Concrete Printing through Systematic Optimization Process.- The Flexural Behavior of Engineered Cementitious.- Composites ECC One Way 3D Printed Slabs made of Solid and Hollow Sections.- Characterizing Shape Changes in 4D Printed ABS Beams Under Thermal Stimuli.- Optimization of 3D Printing Parameters on Surface Roughness and Flatness of PLA Using Taguchi Design of Experiments.- Prediction of Layered Soil Permeability through Artificial Intelligence Optimization procedure.- Evaluating the Structural Performance of 3D Printed FRCC Beams with Anchoring Reinforcement Material Geometry and Loading Perspectives.