國立虎尾科技大學 |

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

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Proceedings of the International Conferences on Digital Technology Driven Engineering 2024/ edited by Nikos D. Lagaros ... [et al.].
其他題名:	ADDitively Manufactured OPTimized Structures by Means of Machine Learning (ADDOPTML) /
其他作者:	Lagaros, Nikos D.
團體作者:	Workshop on the Preservation of Stability under Discretization
出版者:	Cham :Springer Nature Switzerland : : 2025.,
面頁冊數:	viii, 342 p. :ill., digital ; : 24 cm.;
Contained By:	Springer Nature eBook
標題:	Industrial and Production Engineering. -
電子資源:	https://doi.org/10.1007/978-3-031-92029-5
ISBN:	9783031920295

Proceedings of the International Conferences on Digital Technology Driven Engineering 2024 = ADDitively Manufactured OPTimized Structures by Means of Machine Learning (ADDOPTML) /
Proceedings of the International Conferences on Digital Technology Driven Engineering 2024ADDitively Manufactured OPTimized Structures by Means of Machine Learning (ADDOPTML) /[electronic resource] :edited by Nikos D. Lagaros ... [et al.]. - Cham :Springer Nature Switzerland :2025. - viii, 342 p. :ill., digital ;24 cm. - Lecture notes in civil engineering,6462366-2565 ;. - Lecture notes in civil engineering ;v.1..

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.

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.

ISBN: 9783031920295

Standard No.: 10.1007/978-3-031-92029-5doiSubjects--Topical Terms:

593943
Industrial and Production Engineering.

LC Class. No.: TA345 / .I58 2024

Dewey Class. No.: 620.00285

Proceedings of the International Conferences on Digital Technology Driven Engineering 2024 = ADDitively Manufactured OPTimized Structures by Means of Machine Learning (ADDOPTML) /
LDR:03235nam a2200349 a 4500 001 1159641
003 DE-He213
005 20250624130224.0
006 m d
007 cr nn 008maaau
008 251029s2025 sz s 0 eng d
020 $a 9783031920295 $q (electronic bk.)
020 $a 9783031920288 $q (paper)
024 7 $a 10.1007/978-3-031-92029-5 $2 doi
035 $a 978-3-031-92029-5
040 $a GP $c GP
041 0 $a eng
050 4 $a TA345 $b .I58 2024
072 7 $a UN $2 bicssc
072 7 $a COM018000 $2 bisacsh
072 7 $a UN $2 thema
082 0 4 $a 620.00285 $2 23
090 $a TA345 $b .I61 2024
111 2 $a Workshop on the Preservation of Stability under Discretization $d (2001 : $c Fort Collins, Colo.) $3 527686
245 1 0 $a Proceedings of the International Conferences on Digital Technology Driven Engineering 2024 $h [electronic resource] : $b ADDitively Manufactured OPTimized Structures by Means of Machine Learning (ADDOPTML) / $c edited by Nikos D. Lagaros ... [et al.].
260 $a Cham : $c 2025. $b Springer Nature Switzerland : $b Imprint: Springer,
300 $a viii, 342 p. : $b ill., digital ; $c 24 cm.
338 $a online resource $b cr $2 rdacarrier
490 1 $a Lecture notes in civil engineering, $x 2366-2565 ; $v 646
505 0 $a 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.
520 $a 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.
650 2 4 $a Industrial and Production Engineering. $3 593943
650 2 4 $a Optimization. $3 669174
650 2 4 $a Structural Materials. $3 677176
650 1 4 $a Data Engineering. $3 1226308
650 0 $a Artificial intelligence $x Engineering applications $v Congresses. $3 890055
650 0 $a Computer-aided engineering $v Congresses. $3 675631 $3 741288
650 0 $a Engineering $x Data processing $v Congresses. $3 672469 $3 727777
700 1 $a Lagaros, Nikos D. $3 783559
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer Nature eBook
830 0 $a Lecture notes in civil engineering ; $v v.1. $3 1112635
856 4 0 $u https://doi.org/10.1007/978-3-031-92029-5
950 $a Intelligent Technologies and Robotics (SpringerNature-42732)