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Keywords by Co - Occurrence

  1. Punurai Wonsiri, Liu Yiliu (2026-03)
    Integrating Machine Learning with 3D Printing Concrete for Marine Structures:
    Mix Design, Strength Assessment, and Carbon Footprint Prediction
  2. Katlav Metin, Turk Kazim (2026-03)
    Explainable Hybrid Machine Learning Approach for Mechanical Performance of 3D-Printed Strain-Hardening Cementitious Composites (3DP-SHCC)
  3. Zhao Qiliang, Huang Yuxiang, Wang Bowen, Zhang Qiuchi et al. (2026-03)
    An Integrated Deep Learning Framework for CT-Based Mesoscopic Segmentation and Quantitative Analysis of 3D-Printed Concrete
  4. Chen Baixi, Wang Xianlin, Zhou Haijun, Jiang Sheng et al. (2026-03)
    Uncertainty Propagation in Reinforcement Bond Performance of 3D-Printed Concrete via Generative-Augmented Ensemble Learning
  5. Barbhuiya Salim, Qazi Nadeem, Das Bibhuti, Katare Vasudha (2026-02)
    Machine Learning Integration for Smarter, More Adaptive Systems in Large-Scale 3D Printing
  6. Khalil Jawad, Fakih Amin, Yaseen Zaher, Osta Mohammed et al. (2026-02)
    Influence of Chemical Components and Molar Ratios on Strength Development of One-Part Alkali-Activated Mortar: Ensemble Machine Learning Models
  7. Rizzieri Giacomo, Lanteri Federico, Ferrara Liberato, Cremonesi Massimiliano (2026-02)
    ShapeGen3DCP:
    A Deep Learning Framework for Layer Shape Prediction in 3D Concrete Printing
  8. Mirmotalebi Seyedali, Moon Hyosoo, Tesiero Raymond, Noor Sadia (2026-01)
    Defect Detection and Quality Control in 3D-Printed Construction Elements Using High-Resolution 3D Scanning and Deep Learning Models
  9. Iqbal Imtiaz, Kasim Tala, Besklubova Svetlana, Mustafa Ali et al. (2025-12)
    Passive Determination of Anisotropic Compressive Strength of 3D Printed Concrete Using Multiple Neural Networks Enhanced with Explainable Machine Learning (XML)
  10. Iqbal Imtiaz, Inqiad Waleed, Kasim Tala, Besklubova Svetlana et al. (2025-12)
    Strength Characterisation of Fly Ash Blended 3D Printed Concrete Enhanced with Explainable Machine Learning
  11. Albostami Asad, Mohammad Malek, Ismael Bashar, Hamd Rwayda (2025-10)
    Optimized Strength Predictions for 3D Printed Fiber-Reinforced Concrete:
    Machine Learning-Driven Insights
  12. Ye Fan, Ren Xiaodan (2025-10)
    A Eulerian Circuit-Based Reinforcement Learning Path Optimization Method for 3D Concrete Printing
  13. Verma Shilpi, Parghi Anant (2025-10)
    Machine Learning-Based Prediction of Compressive Strength in Additive Manufacturing of Concrete Technology
  14. Abedi Mohammadmadhi, Waris Muhammad, Alawi Mubarak, Jabri Khalifa (2025-10)
    Next-Generation Net-Zero Composite for Underwater 3D Printing Construction:
    Hybrid Machine Learning Optimized LC3 with Recycled Rubber
  15. Rizzieri Giacomo, Lanteri Federico, Ferrara Liberato, Cremonesi Massimiliano (2025-10)
    ShapeGen3DCP:
    A Deep Learning Framework for Layer Shape Prediction in 3D Concrete Printing
  16. Chen Wenguang, Liang Long, Ye Junhong, Liu Lingfei et al. (2025-09)
    Machine Learning-Enabled Performance-Based Design of Three-Dimensional Printed Engineered Cementitious Composites
  17. Syed Sajid, Abid Khasim, Khan Majid (2025-09)
    An Interpretable Machine Learning Approach for Predicting Reinforcement Bond Performance in 3D Concrete Printing
  18. Wang Xiaoqi, Liu Xing, Xu Yanling, Cao Jianfu et al. (2025-08)
    A General Adaptive Layer Height Continuous Path Planning Algorithm for Concrete 3D Printing of Complex Porous Structures Based on Multi-Objective Optimization and Reinforcement Learning
  19. Abedi Mohammadmadhi, Waris Muhammad, Alawi Mubarak, Jabri Khalifa (2025-08)
    Transformative Low-Carbon 3D-Printed Infrastructure:
    Machine Learning-Driven Self-Sensing and Self-Heating Limestone Calcined Clay Cement (LC3) Composites
  20. Abid Khasim, Syed Sajid, Khan Majid (2025-08)
    Explainable Machine Learning-Based Model for Predicting Interlayer Bond Strength in 3D Printed Concrete
  21. Zafar Muhammad, Javadnejad Farid, Hojati Maryam (2025-07)
    Optimizing Rheological Properties of 3D Printed Cementitious Materials via Ensemble Machine Learning
  22. Nandurkar Bhupesh, Raut Jayant, Hinge Pawan, Bahoria Boskey et al. (2025-06)
    Multi-Scale Deep Learning Framework for Three Dimensional Printed Self-Sensing Cementitious Composites with Hybrid Nano-Carbon Fillers
  23. Alkhawaldeh Ayah, Alhassan Mohammad, Sawalha Ansam, Betoush Nour et al. (2025-06)
    Integration of 3D Printing and Machine Learning in Sustainable Construction:
    Feasibility and Challenges
  24. Keune Anna, Simšič Živa, Kloft Harald, Dörfler Kathrin (2025-06)
    AMC Edu:
    Lab Design to Learn About Additive Manufacturing in Construction
  25. Khodadadi Nima, Roghani Hossein, Caso Francisco, Kenawy El‐Sayed et al. (2025-06)
    Machine Learning Approach for the Flexural Strength of 3D‐Printed Fiber‐reinforced Concrete Based on the Meta‐heuristic Algorithm
  26. Wang Xiaoqi, Zuo Tianyi, Xu Yanling, Liu Xing et al. (2025-06)
    Reinforcement Learning-Based Continuous Path Planning and Automated Concrete 3D Printing of Complex Hollow Components
  27. Alizamir Meysam, Kim Sungwon, Ikram Rana, Ahmed Kaywan et al. (2025-06)
    A Reliable Hybrid Extreme Learning Machine-Metaheuristic Framework for Enhanced Strength Prediction of 3D-Printed Fiber-Reinforced Concrete
  28. Geng Songyuan, Cheng Boyuan, Long Wujian, Luo Qiling et al. (2025-05)
    Co-Driven Physics and Machine Learning for Intelligent Control in High-Precision 3D Concrete Printing
  29. Bettermann Luca, Slepicka Martin, Esser Sebastian, Borrmann André (2025-05)
    Data-Driven Parameter Calibration in Additive Manufacturing for Construction:
    An Introduction to Learning by Printing
  30. Ersoy Seher, Abuqasim Shaima, Kurtay Yıldız Mine, Öztürk İrfan et al. (2025-05)
    Machine Learning Approximation of Water Transport in 3D-Printable Composites via Karsten Tube
  31. Banijamali Kasra, Dempsey Mary, Chen Jianhua, Kazemian Ali (2025-02)
    Machine Learning Approach to Predict the Early-Age Flexural Strength of Sensor-Embedded 3D-Printed Structures
  32. Zhang Yonghong, Cui Suping, Yang Bohao, Wang Xinxin et al. (2025-01)
    Research on 3D Printing Concrete Mechanical Properties-Prediction-Model Based on Machine-Learning
  33. Rasel Risul, Hossain Md, Zubayer Md, Zhang Chaoqun (2024-11)
    Exploring the Fresh and Rheology Properties of 3D Printed Concrete with Fiber-Reinforced Composites:
    A Novel Approach Using Machine Learning Techniques
  34. Arif Muhammad, Jan Faizullah, Rezzoug Aïssa, Afridi Muhammad et al. (2024-11)
    Data-Driven Models for Predicting Compressive Strength of 3D Printed Fiber-Reinforced Concrete Using Interpretable Machine Learning Algorithms
  35. Hoang Pham, Moon Hyosoo, Ahn Yonghan (2024-10)
    Optimizing 3D Printed Concrete Mixtures for Extraterrestrial Habitats:
    A Machine Learning Framework
  36. Ma Xin-Rui, Wang Xian-Lin, Chen Shi-Zi (2024-09)
    Trustworthy Machine Learning-Enhanced 3D Concrete Printing:
    Predicting Bond Strength and Designing Reinforcement Embedment Length
  37. Zimmermann Stefan, Griego Danielle, Flatt Robert (2024-09)
    Visualizing Defects of Concrete 3D Printed Structures with Augmented Reality Based on Machine Learning-Driven Image-Analysis
  38. Silva João, Wagner Gabriel, Silva Rafael, Morais António et al. (2024-07)
    Real-Time Precision in 3D Concrete Printing:
    Controlling Layer Morphology via Machine Vision and Learning Algorithms
  39. Mütevelli Özkan İffet, Aldemir Alper (2024-07)
    Machine-Learning Networks to Predict the Ultimate Axial Load and Displacement Capacity of 3D Printed Concrete Walls with Different Section Geometries
  40. Heywood Kate, Nicholas Paul (2024-04)
    3D Concrete Printing in a Circular Economy:
    What We Can Learn from a 3DCP Slab Designed for Dissassembly
  41. Uddin Md, Ye Junhong, Haque M., Yu Kequan et al. (2024-04)
    A Novel Compressive Strength Estimation Approach for 3D Printed Fiber-Reinforced Concrete:
    Integrating Machine Learning and Gene Expression Programming
  42. Lai Xin, Gong Chen, He Enpei, Li Yinmian et al. (2024-02)
    Deep Learning for Predicting the Strength of 3D Printable Engineered Cementitious Composites
  43. Zhu Ronghua, Egbe King-James, Salehi Hadi, Shi Zhongtian et al. (2024-01)
    Eco-Friendly 3D Printed Concrete with Fine Aggregate Replacements:
    Fabrication, Characterization and Machine Learning Prediction
  44. Alyami Mana, Khan Majid, Fawad Muhammad, Nawahz R. et al. (2023-11)
    Predictive Modeling for Compressive Strength of 3D Printed Fiber-Reinforced Concrete Using Machine Learning Algorithms
  45. Wang Xianlin, Banthia Nemkumar, Yoo Doo-Yeol (2023-11)
    Reinforcement Bond Performance in 3D Concrete Printing:
    Explainable Ensemble Learning Augmented by Deep Generative Adversarial Networks
  46. Nguyen Ho, Thach Nguyen, Le Quang, Anh Yonghan (2023-07)
    A Review of Current Progress and Application of Machine Learning on 3D Printed Concrete
  47. Geng Songyuan, Long Wujian, Luo Qiling, Fu Junen et al. (2023-07)
    Intelligent Prediction of Dynamic Yield-Stress in 3D Printing Concrete Based on Machine Learning
  48. Ali Ammar, Riaz Raja, Malik Umair, Abbas Syed et al. (2023-06)
    Machine-Learning-Based Predictive-Model for Tensile and Flexural Strength of 3D Printed Concrete
  49. Uddin Md, Ye Junhong, Deng Boyu, Li Lingzhi et al. (2023-04)
    Interpretable Machine Learning for Predicting the Strength of 3D Printed Fiber-Reinforced Concrete
  50. Uddin Md, Mahamoudou Faharidine, Deng Boyu, Elobaid Musa Moneef et al. (2023-03)
    Prediction of Rheological Parameters of 3D Printed Polypropylene-Fiber-Reinforced Concrete by Machine Learning
  51. Geng Songyuan, Luo Qiling, Liu Kun, Li Yunchao et al. (2023-02)
    Research Status and Prospect of Machine Learning in Construction 3D Printing
  52. Parisi Fabio, Sangiorgio Valentino, Parisi Nicola, Mangini Agostino et al. (2023-01)
    A New Concept for Large Additive Manufacturing in Construction:
    Tower-Crane-Based 3D Printing Controlled by Deep-Reinforcement-Learning
  53. Cicione Antonio, Kruger Jacques, Mostert Jean-Pierre, Walls Richard et al. (2022-09)
    The Effect of Wind on 3D Printed Concrete Inter-Layer Bond Strength Based on Machine Learning Algorithms
  54. Izadgoshasb Hamed, Kandiri Amirreza, Shakor Pshtiwan, Laghi Vittoria et al. (2021-11)
    Predicting Compressive Strength of 3D Printed Mortar in Structural Members Using Machine Learning
  55. Duarte Gonçalo, Brown Nathan, Memari Ali, Duarte José (2021-07)
    Learning from Historical Structures under Compression for Concrete 3D Printing Construction
  56. Davtalab Omid, Kazemian Ali, Yuan Xiao, Khoshnevis Behrokh (2020-10)
    Automated Inspection in Robotic Additive Manufacturing Using Deep Learning for Layer Deformation Detection
  57. Nicholas Paul, Rossi Gabriella, Williams Ella, Bennett Michael et al. (2020-08)
    Integrating Real-Time Multi-Resolution Scanning and Machine Learning for Conformal Robotic 3D Printing in Architecture
  58. Lao Wenxin, Li Mingyang, Wong Teck, Tan Ming et al. (2020-02)
    Improving Surface-Finish-Quality in Extrusion-Based 3D Concrete Printing Using Machine-Learning-Based Extrudate-Geometry-Control
  59. Celorrio-Barragué Luis, Calvo-Simón Sergio, Gaspar Marcelo, Vidal-Cortés Mariano et al. (2019-10)
    3D Printed Models-Based Lab Activities to Enhance Learning-Teaching Processes in Structural Engineering Courses