LEADER 04463nam 22006975 450 001 9911011777003321 005 20250624130224.0 010 $a9783031920295 024 7 $a10.1007/978-3-031-92029-5 035 $a(CKB)39449949400041 035 $a(MiAaPQ)EBC32176063 035 $a(Au-PeEL)EBL32176063 035 $a(OCoLC)1525622538 035 $a(DE-He213)978-3-031-92029-5 035 $a(EXLCZ)9939449949400041 100 $a20250624d2025 u| 0 101 0 $aeng 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aProceedings of the International Conferences on Digital Technology Driven Engineering 2024 $eADDitively Manufactured OPTimized Structures by means of Machine Learning (ADDOPTML) /$fedited by Nikos D. Lagaros, Savvas P. Triantafyllou, Rajai Z. Alrousan, Mohammad A. Alhassan, Khairedin M. Abdalla 205 $a1st ed. 2025. 210 1$aCham :$cSpringer Nature Switzerland :$cImprint: Springer,$d2025. 215 $a1 online resource (453 pages) 225 1 $aLecture Notes in Civil Engineering,$x2366-2565 ;$v646 311 08$a9783031920288 327 $aIntegration 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. 330 $aThis book gathers the latest advances, innovations, and applications in the field of engineering optimization and architectural design, presented at the 1st International Conference on ADDitively Manufactured OPTimized Structures by means of Machine Learning (ADDOPTML), held in Amman, Jordan, on October 1?4, 2024, jointly with conferences OPTARCH2024 and OPT-ii2024. It covers topics such as machine learning-based design manufacturing process for civil structures, additive manufacturing optimized structural elements, holistic machine learning aided, linear, nonlinear, stochastic, parametric, discrete and dynamic programming?modelling, hybrid methods with metaheuristics, machine learning, game theory, mathematical programming, constraint programming, co-evolutionary, emergent nature-inspired algorithms such as quantum computing and artificial immune systems. Written by leading researchers and engineers, and selected by means of a rigorous international peer-review process, the contributions highlight numerous exciting ideas that will spur novel research directions and foster multidisciplinary collaborations. 410 0$aLecture Notes in Civil Engineering,$x2366-2565 ;$v646 606 $aEngineering$xData processing 606 $aBuilding materials 606 $aMathematical optimization 606 $aIndustrial engineering 606 $aProduction engineering 606 $aData Engineering 606 $aStructural Materials 606 $aOptimization 606 $aIndustrial and Production Engineering 615 0$aEngineering$xData processing. 615 0$aBuilding materials. 615 0$aMathematical optimization. 615 0$aIndustrial engineering. 615 0$aProduction engineering. 615 14$aData Engineering. 615 24$aStructural Materials. 615 24$aOptimization. 615 24$aIndustrial and Production Engineering. 676 $a620.00285 700 $aLagaros$b Nikos D$01830101 701 $aTriantafyllou$b Savvas P$01830154 701 $aAlrousan$b Rajai Z$01830102 701 $aAlhassan$b Mohammad A$01830155 701 $aAbdalla$b Khairedin M$01738891 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9911011777003321 996 $aProceedings of the International Conferences on Digital Technology Driven Engineering 2024$94400448 997 $aUNINA