| Design of fiber-reinforced variable-stiffness composites for different open-hole geometries with fiber continuity and curvature constraints T Shafighfard, E Demir, M Yildiz Composite Structures 226, 111280, 2019 | 75 | 2019 |
| Data-driven compressive strength prediction of steel fiber reinforced concrete (SFRC) subjected to elevated temperatures using stacked machine learning algorithms T Shafighfard, F Bagherzadeh, RA Rizi, DY Yoo Journal of Materials Research and Technology 21, 3777-3794, 2022 | 69 | 2022 |
| Energy consumption optimization in wastewater treatment plants: Machine learning for monitoring incineration of sewage sludge Behrouz Adibimanesh, Sylwia Polesek-Karczewska, Faramarz Bagherzadeh, Piotr ... Sustainable Energy Technologies and Assessments 56, 103040, 2023 | 65 | 2023 |
| Additive manufacturing of compliance optimized variable stiffness composites through short fiber alignment along curvilinear paths T Shafighfard, TA Cender, E Demir Additive Manufacturing 37, 101728, 2021 | 52 | 2021 |
| Ensemble Machine Learning approach for evaluating the material characterization of carbon nanotube-reinforced cementitious composites F Bagherzadeh, T Shafighfard Case Studies in Construction Materials 17, 2022 | 50 | 2022 |
| Prediction of maximum tensile stress in plain-weave composite laminates with interacting holes via stacked machine learning algorithms: A comparative study F Bagherzadeh, T Shafighfard, RMA Khan, P Szczuko, M Mieloszyk Mechanical Systems and Signal Processing 195, 110315, 2023 | 43 | 2023 |
| A robust finite element analysis of the rail-wheel rolling contact MR Aalami, A Anari, T Shafighfard, S Talatahari Advances in Mechanical Engineering 5, 272350, 2013 | 34 | 2013 |
| Chained machine learning model for predicting load capacity and ductility of steel fiber–reinforced concrete beams T Shafighfard, F Kazemi, F Bagherzadeh, M Mieloszyk, DY Yoo Computer‐Aided Civil and Infrastructure Engineering, 2024 | 27 | 2024 |
| Experimental and numerical study of the additively manufactured carbon fibre reinforced polymers including fibre Bragg grating sensors T Shafighfard, M Mieloszyk Composite Structures 299, 116027, 2022 | 23 | 2022 |
| Data-driven modeling of mechanical properties of fiber-reinforced concrete: a critical review F Kazemi, T Shafighfard, DY Yoo Archives of Computational Methods in Engineering 31 (4), 2049-2078, 2024 | 21 | 2024 |
| Strength prediction and experimental damage investigations of plain woven CFRPs with interacting holes using multi‐instrument measurements RMA Khan, T Shafighfard, HQ Ali, M Mieloszyk, M Yildiz Polymer Composites, 2023 | 17 | 2023 |
| Model of the temperature influence on additively manufactured carbon fibre reinforced polymer samples with embedded fibre bragg grating sensors T Shafighfard, M Mieloszyk Materials 15 (1), 222, 2021 | 12 | 2021 |
| Machine-Learning Methods for Estimating Performance of Structural Concrete Members Reinforced with Fiber-Reinforced Polymers F Kazemi, N Asgarkhani, T Shafighfard, R Jankowski, DY Yoo Archives of Computational Methods in Engineering, 1-33, 2024 | 7 | 2024 |
| An Influence of Temperature on Fiber Bragg Grating Sensor Embedded into Additive Manufactured Structure M Mieloszyk, T Shafighfard, K Majewska, A Andrearczyk European Workshop on Structural Health Monitoring, 495-501, 2022 | 4 | 2022 |
| Machine-learning methods for estimating compressive strength of high-performance alkali-activated concrete T Shafighfard, F Kazemi, N Asgarkhani, DY Yoo Engineering Applications of Artificial Intelligence 136, 109053, 2024 | 2 | 2024 |
| Numerical and experimental investigation of fiber-reinforced constant and variable stiffness composites for open hole tension with fiber continuity and curvature constraints T Shafighfard | | 2020 |
Faramarz BagherzadehAlfred Wegener Institute Helmholtz for Polar and Marine (MarData)在 awi.de 的电子邮件经过验证
