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#prediction

Keywords by Co - Occurrence

  1. Eisazadeh Hamid, Chatroudi Narges, Alizadeh Roozbeh (2025-12)
    AI-Based Prediction and Numerical Analysis of Mechanical and Microstructural Parameters of Carbon Fiber Reinforced 3D Printed Composites
  2. Hammoud Ahmad, Mohomad Yosef, Shomar Hasan, Masad Eyad et al. (2025-12)
    Data-Driven Framework for Printability and Geometric Quality Prediction in 3D Concrete Printing
  3. Zhou Jiehang, Du Longyu, Wu Kai, Lai Jianzhong et al. (2025-11)
    Effective Factors and a Prediction Method on Extrusion Flow of 3D Printed Concrete
  4. Zhu Binrong, Liu Xuhua, Wei Yang, Pan Jinlong (2025-11)
    Predicting the Tensile Performance of 3D-Printed PE Fiber-Reinforced ECC Based on Micromechanics Model
  5. Diggs-McGee Brandy, Samouh Hamza, Garg Nishant (2025-11)
    Predicting Cementitious Set Times via Infrared Thermography:
    Potential Implications on Real-Time Quality Control During 3D Concrete Printing
  6. Albostami Asad, Mohammad Malek, Ismael Bashar, Hamd Rwayda (2025-10)
    Optimized Strength Predictions for 3D Printed Fiber-Reinforced Concrete:
    Machine Learning-Driven Insights
  7. Verma Shilpi, Parghi Anant (2025-10)
    Machine Learning-Based Prediction of Compressive Strength in Additive Manufacturing of Concrete Technology
  8. Uddin Md, Mostazid Md, Faysal Md, Shi Xinjun (2025-10)
    Developing a Novel Strength Predictive Modeling for 3D Printable Geopolymer Concrete:
    An Interpretable Data-Driven Approach
  9. Boldini Alain, Giwa Ilerioluwa, Kamel Ehsan, Kazemian Ali (2025-10)
    Spatiotemporal Temperature Prediction in 3D-Printed Sulfur Concrete for Automated Construction on Earth and Beyond
  10. Rizzieri Giacomo, Lanteri Federico, Ferrara Liberato, Cremonesi Massimiliano (2025-10)
    ShapeGen3DCP:
    A Deep Learning Framework for Layer Shape Prediction in 3D Concrete Printing
  11. Akter Usmi, Rezvi Syed, Ratul Md., Kishor Saad (2025-09)
    Optimization of Data-Driven Ensemble Models Using Firefly Algorithm for Enhanced 3D Printed Concrete Strength Prediction
  12. Matos Ana, Emiroğlu Mehmet, Milheiro-Oliveira Paula (2025-09)
    Predicting Stabilized Soil Mixture Proportions for 3D Printing:
    Preliminary Study Using the Design of Experiments Approach
  13. Syed Sajid, Abid Khasim, Khan Majid (2025-09)
    An Interpretable Machine Learning Approach for Predicting Reinforcement Bond Performance in 3D Concrete Printing
  14. Liu Shijie, Liu Tong, Alqurashi Muwaffaq, Abdou Elabbasy Ahmed et al. (2025-09)
    Advancing 3D-Printed Fiber-Reinforced Concrete for Sustainable Construction:
    A Comparative Optimization Based Study of Hybrid Machine Intelligence Models for Predicting Mechanical Strength and CO₂ Emissions
  15. Abid Khasim, Syed Sajid, Khan Majid (2025-08)
    Explainable Machine Learning-Based Model for Predicting Interlayer Bond Strength in 3D Printed Concrete
  16. Lu Qianyang, Mei Song, Ateah Ali, Alsubeai Ali et al. (2025-08)
    Investigating the Strength Performance of 3D Printed Fiber-Reinforced Concrete Using Applicable Predictive Models
  17. 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
  18. Chippagiri Ravijanya, Lanjewar Bhagyashri, Kamath Muralidhar, Ralegaonkar Rahul (2025-05)
    Prediction of Construction Materials for Conventional and Alkali-Activated 3D Concrete Printing
  19. Asif Usama (2025-05)
    Comparative Analysis of Evolutionary Computational Methods for Predicting Mechanical Properties of Fiber-Reinforced 3D Printed Concrete
  20. Chen Wei, Pan Jinlong, Zhu Binrong, Han Jinsheng et al. (2025-03)
    Nonlinear Predictive Modeling of Building Rates Incorporating Filament Compression Deformations in 3D Printed Geopolymer Concrete
  21. Özalp Abdulkadir, Aldemir Alper (2025-03)
    Artificial Intelligence-Based Displacement Capacity Prediction Tool for Three-Dimensional Printed Concrete Walls
  22. 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
  23. Park Ji-seul, Jeong Seung-Su, Hong Seungkee, Lee Seohyung et al. (2025-02)
    Mechanical Modeling for Prediction of Structural Stability of Cylindrical Structures During 3D Concrete Printing
  24. Senthilnathan Shanmugaraj, Raphael Benny (2025-02)
    Predicting Buildability Using the Surface Texture of 3D Printed Concrete Elements
  25. Chen Wenguang, Liang Long, Zhou Boyang, Ye Junhong et al. (2025-02)
    A Fracture Mechanics Model for Predicting Tensile Strength and Fracture Toughness of 3D Printed Engineered Cementitious Composites
  26. Yu Jie, Teng Fei, Ye Junhong, Zhang Dong et al. (2025-01)
    Size-Dependent Model to Predict the Flexural-Strength of 3D Printed Engineered Cementitious Composites Beams
  27. 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
  28. Schossler Rodrigo, Ullah Shafi, Alajlan Zaid, Yu Xiong (2025-01)
    Data-Driven Analysis in 3D Concrete Printing:
    Predicting and Optimizing Construction Mixtures
  29. Mousavi Moein, Bengar Habib, Mousavi Fateme, Mahdavinia Pooneh et al. (2024-12)
    Inter-Layer Bond Strength Prediction of 3D Printable Concrete Using Artificial Neural Network:
    Experimental and Modeling Study
  30. Zhang Yu, Yu Zhengxing, Zhang Yunsheng, Zhang Jiufu et al. (2024-12)
    Study on the Predictive Model for Continuous Build-Height of 3D Printed Concrete Based on Printability and Early Mechanical Properties
  31. Li Ben, Li Kaihang, Lyu Xuetao, Zhao Canhao et al. (2024-12)
    Microscopic Mechanism and Predicting Calculation on Mechanical Properties of Basalt-Fiber-Modified 3D Printing Cement-Based Materials
  32. 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
  33. Peng Chengming, Yang Zhenjun, Li Hui (2024-10)
    A Predictive Model for Interlayer-Water-Evolution and Experimental Validation of 3D Printed Cementitious Materials
  34. 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
  35. Gomzyakov Albert, Taubert Markus, Sokolov Dmitrii, Reuter Uwe et al. (2024-09)
    Setup for ML-Based Prediction of Concrete Rheology from 3D Slump-Test-Geometry
  36. Jacquet Yohan, Maierdan Yierfan, Kawashima Shiho, Perrot Arnaud (2024-09)
    Stability-Prediction of 3D Printable Fresh Construction Materials by Analyzing Thixotropic Compressive Properties Using Extensional Dynamic Mechanical Analysis
  37. Yu Jie, Weng Yiwei, Teng Fei, Ye Junhong et al. (2024-09)
    Prediction of the Flexural Strength of 3D Printed SHCC Beams Based on a Stochastic Size-Dependent Model
  38. Rehman Saif, Riaz Raja, Usman Muhammad, Kim In-Ho (2024-08)
    Augmented Data-Driven Approach Towards 3D Printed Concrete Mix Prediction
  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. Malik Umair, Riaz Raja, Rehman Saif, Usman Muhammad et al. (2024-07)
    Advancing Mix-Design Prediction in 3D Printed Concrete:
    Predicting Anisotropic Compressive Strength and Slump-Flow
  41. Sando Mona, Stephan Dietmar (2024-06)
    The Development of a Fly-Ash-Based Geopolymer for Extrusion-Based 3D Printing, Along with a Printability Prediction Method
  42. Gu Yucun, Khayat Kamal (2024-05)
    Extrudability Window and Off-Line Test-Methods to Predict Buildability of 3D Printing Concrete
  43. Gao Huaxing, Jin Lang, Chen Yuxuan, Chen Qian et al. (2024-05)
    Rheological Behavior of 3D Printed Concrete:
    Influential Factors and Printability Prediction Scheme
  44. Tran Mien, Ly Duy-Khuong, Nguyen Tan, Tran Nhi (2024-05)
    Robust Prediction of Workability Properties for 3D Printing with Steel-Slag-Aggregate Using Bayesian Regularization and Evolution Algorithm
  45. Sun Bochao, Dominicus Randy, Dong Enlai, Li Peichen et al. (2024-04)
    Predicting the Strength Development of 3D Printed Concrete Considering the Synergistic Effect of Curing-Temperature and Humidity:
    From Perspective of Modified Maturity-Model
  46. Geng Songyuan, Mei Liu, Cheng Boyuan, Luo Qilong et al. (2024-03)
    Revolutionizing 3D Concrete Printing:
    Leveraging Random-Forest-Model for Precise Printability and Rheological Prediction
  47. Ma Lei, Jia Zijian, Chen Yuning, Jiang Yifan et al. (2024-03)
    Water Loss and Shrinkage Prediction in 3D Printed Concrete with Varying w/b and Specimen Sizes
  48. Alhussain Ali, Duarte José, Brown Nathan (2024-02)
    Developing a Data-Driven Filament-Shape-Prediction-Model for 3D Concrete Printing
  49. Lai Xin, Gong Chen, He Enpei, Li Yinmian et al. (2024-02)
    Deep Learning for Predicting the Strength of 3D Printable Engineered Cementitious Composites
  50. Wu Dinglue, Luo Qiling, Long Wujian, Zhang Shunxian et al. (2024-02)
    Advancing Construction 3D Printing with Predictive Inter-Layer Bonding Strength:
    A Stacking Model Paradigm
  51. Prem Prabhat, Ambily Parukutty, Kumar Shankar, Ghodke Swapnil (2024-01)
    A Theoretical Model to Predict the Structural Buildability of 3D Printable Concrete
  52. 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
  53. Alyami Mana, Khan Majid, Javed Muhammad, Ali Mujahid et al. (2023-12)
    Application of Metaheuristic Optimization Algorithms in Predicting the Compressive Strength of 3D Printed Fiber-Reinforced Concrete
  54. 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
  55. Marcucci Andrea, Gaggiotti Cesare, Ferrara Liberato (2023-08)
    A Prediction of the Printability of Concrete Through Artificial Neural Networks
  56. Wang Qing, Ren Xiaodan, Li Jie (2023-08)
    Damage-Rheology Model for Predicting 3D Printed Concrete Buildability
  57. 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
  58. 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
  59. Wang Li, Ye Kehan, Wan Qian, Li Zhijian et al. (2023-05)
    Inclined 3D Concrete Printing:
    Build-Up Prediction and Early-Age Performance-Optimization
  60. 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
  61. Diab Zeinab, Do Duc, Rémond Sébastien, Hoxha Dashnor (2023-04)
    Probabilistic Prediction of Structural Failure During 3D Concrete Printing Processes
  62. 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
  63. Yao Xiaofei, Lyu Xin, Sun Junbo, Wang Bolin et al. (2023-03)
    AI-Based Performance Prediction for 3D Printed Concrete Considering Anisotropy and Steam-Curing Condition
  64. Lamnini Soukaina, Elsayed Hamada, Lakhdar Yazid, Baino Francesco et al. (2022-09)
    Robocasting of Advanced Ceramics:
    Ink-Optimization and Protocol to Predict the Printing Parameters
  65. Chang Ze, Wan Zhi, Xu Yading, Schlangen Erik et al. (2022-06)
    Convolutional Neural Network for Predicting Crack-Pattern and Stress-Crack-Width Curve of Air-Void Structure in 3D Printed Concrete
  66. Liu Haoran, Ding Tao, Xiao Jianzhuang, Mechtcherine Viktor (2022-04)
    Buildability Prediction of 3D Printed Concrete at Early-Ages:
    A Numerical Study with Drucker-Prager-Model
  67. Zhang Chao, Deng Zhicong, Chen Chun, Zhang Yamei et al. (2022-03)
    Predicting the Static Yield-Stress of 3D Printable Concrete Based on Flowability of Paste and Thickness of Excess-Paste-Layer
  68. Yang Shutong, Lan Tian, Sun Zhongke, Xu Mingqi et al. (2022-03)
    A Predictive Model to Determine Tensile Strength and Fracture-Toughness of 3D Printed Fiber-Reinforced Concrete Loaded in Different Directions
  69. Reinold Janis, Nerella Venkatesh, Mechtcherine Viktor, Meschke Günther (2022-02)
    Extrusion-Process-Simulation and Layer-Shape-Prediction During 3D Concrete Printing Using the Particle-Finite-Element-Method
  70. Tripathi Avinaya, Nair Sooraj, Neithalath Narayanan (2022-01)
    A Comprehensive Analysis of Buildability of 3D Printed Concrete and the Use of Bi-Linear Stress-Strain Criterion-Based Failure Curves Towards Their Prediction
  71. Suntharalingam Thadshajini, Upasiri Irindu, Nagaratnam Brabha, Poologanathan Keerthan et al. (2022-01)
    Finite Element Modelling to Predict the Fire Performance of Bio-Inspired 3D Printed Concrete Wall Panels Exposed to Realistic Fire
  72. Xie Xiangyu, Zhang Lihai, Shi Caijun, Liu Xuemei (2022-01)
    Prediction of Lubrication-Layer Properties of Pumped Concrete Based on Flow-Induced Particle-Migration
  73. Mollah Md., Comminal Raphaël, Serdeczny Marcin, Pedersen David et al. (2022-01)
    Numerical Predictions of Bottom-Layer-Stability in Material-Extrusion Additive Manufacturing
  74. 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
  75. Fataei Shirin, Secrieru Egor, Mechtcherine Viktor, Roussel Nicolas (2021-07)
    A First-Order Physical Model for the Prediction of Shear-Induced Particle-Migration and Lubricating-Layer Formation During Concrete Pumping
  76. Benamara Abdeslam, Pierre Alexandre, Kaci Abdelhak, Mélinge Yannick (2021-05)
    Digital Printing of Mortar in Carrier-Liquid:
    Comparison of Approaches to Predict Print Stability
  77. Ashrafi Negar, Nazarian Shadi, Meisel Nicholas, Duarte José (2020-10)
    Experimental Prediction of Material-Deformation in Large-Scale Additive Manufacturing of Concrete
  78. Sergis Vasileios, Charrier Malo, Ouellet-Plamondon Claudiane (2020-07)
    Prediction of the Yield-Stress of Printing Mortar-Ink
  79. Weng Yiwei, Lu Bing, Li Mingyang, Liu Zhixin et al. (2018-09)
    Empirical Models to Predict Rheological Properties of Fiber-Reinforced Cementitious Composites for 3D Printing