| Prediction of axial load capacity of rectangular concrete-filled steel tube columns using machine learning techniques TT Le, PG Asteris, ME Lemonis Engineering with Computers 38 (4), 3283-3316, 2022 | 89 | 2022 |
| Soft computing based closed form equations correlating L and N-type Schmidt hammer rebound numbers of rocks PG Asteris, A Mamou, M Hajihassani, M Hasanipanah, M Koopialipoor, ... Transportation Geotechnics 29, 100588, 2021 | 77 | 2021 |
| Stochastic continuum modeling of random interphases from atomistic simulations. Application to a polymer nanocomposite TT Le, J Guilleminot, C Soize Computer Methods in Applied Mechanics and Engineering 303, 430-449, 2016 | 70 | 2016 |
| Evaluation of the ultimate eccentric load of rectangular CFSTs using advanced neural network modeling PG Asteris, ME Lemonis, TT Le, KD Tsavdaridis Engineering Structures 248, 113297, 2021 | 59 | 2021 |
| Practical machine learning-based prediction model for axial capacity of square CFST columns TT Le Mechanics of Advanced Materials and Structures 29 (12), 1782-1797, 2022 | 57 | 2022 |
| Prediction of tensile strength of polymer carbon nanotube composites using practical machine learning method TT Le Journal of Composite Materials 55 (6), 787-811, 2021 | 55 | 2021 |
| Optimization design of rectangular concrete-filled steel tube short columns with Balancing Composite Motion Optimization and data-driven model HT Duong, HC Phan, TT Le, ND Bui Structures 28, 757-765, 2020 | 45 | 2020 |
| Development of Deep Learning Model for the Recognition of Cracks on Concrete Surfaces TT Le, VH Nguyen, MV Le Applied Computational Intelligence and Soft Computing 2021, 2021 | 43 | 2021 |
| Development of user-friendly kernel-based Gaussian process regression model for prediction of load-bearing capacity of square concrete-filled steel tubular members TT Le, MV Le Materials and Structures 54 (2), 1-24, 2021 | 40 | 2021 |
| Applying Bayesian Optimization for Machine Learning Models in Predicting the Surface Roughness in Single-Point Diamond Turning Polycarbonate VH Nguyen, TT Le, HS Truong, MV Le, VL Ngo, AT Nguyen, HQ Nguyen Mathematical Problems in Engineering 2021, 2021 | 38 | 2021 |
| Stochastic framework for modeling the linear apparent behavior of complex materials: application to random porous materials with interphases J Guilleminot, TT Le, C Soize Acta Mechanica Sinica 29 (6), 773-782, 2013 | 36 | 2013 |
| Prediction of Ultimate Load of Rectangular CFST Columns Using Interpretable Machine Learning Method TT Le, HC Phan Advances in Civil Engineering 2020, 2020 | 29 | 2020 |
| Effects of variability in experimental database on machine-learning-based prediction of ultimate load of circular concrete-filled steel tubes NX Ho, TT Le Measurement 176, 109198, 2021 | 28 | 2021 |
| Practical Hybrid Machine Learning Approach for Estimation of Ultimate Load of Elliptical Concrete-Filled Steel Tubular Columns under Axial Loading TT Le Advances in Civil Engineering 2020, 2020 | 26 | 2020 |
| Development of artificial intelligence based model for the prediction of Young’s modulus of polymer/carbon-nanotubes composites NX Ho, TT Le, MV Le Mechanics of Advanced Materials and Structures 29 (27), 5965-5978, 2022 | 25 | 2022 |
| Stochastic representations and statistical inverse identification for uncertainty quantification in computational mechanics C Soize, C Desceliers, J Guilleminot, TT Le, MT Nguyen, G Perrin, ... (Plenary Lecture) UNCECOMP 2015, 1st ECCOMAS Thematic International …, 2015 | 21 | 2015 |
| Probabilistic modeling of surface effects in nano-reinforced materials TT Le Computational Materials Science 186, 109987, 2021 | 19 | 2021 |
| An empirical model for bending capacity of defected pipe combined with axial load HC Phan, TT Le, ND Bui, HT Duong, TD Pham International Journal of Pressure Vessels and Piping 191, 104368, 2021 | 19 | 2021 |
| Correlating the Unconfined Compressive Strength of Rock with the Compressional Wave Velocity Effective Porosity and Schmidt Hammer Rebound Number Using Artificial Neural Networks TT Le, AD Skentou, A Mamou, PG Asteris Rock Mechanics and Rock Engineering 55 (11), 6805-6840, 2022 | 17 | 2022 |
| Probabilistic investigation of the effect of stochastic imperfect interfaces in nanocomposites TT Le Mechanics of Materials 151, 103608, 2020 | 16 | 2020 |
Johann GuilleminotPaul Ruffin Scarborough Associate Professor of Engineering, Duke UniversityVerified email at duke.edu
