| State-of-the-art review of railway track resilience monitoring C Ngamkhanong, S Kaewunruen, BJA Costa Infrastructures 3 (1), 3, 2018 | 122 | 2018 |
| Fatigue life assessment method for prestressed concrete sleepers R You, D Li, C Ngamkhanong, R Janeliukstis, S Kaewunruen Frontiers in built environment 3, 68, 2017 | 63 | 2017 |
| Undrained stability of ring foundations: axisymmetry, anisotropy, and nonhomogeneity S Keawsawasvong, J Shiau, C Ngamkhanong, V Qui Lai, C Thongchom International Journal of Geomechanics 22 (1), 04021253, 2022 | 58 | 2022 |
| Effects of under sleeper pads on dynamic responses of railway prestressed concrete sleepers subjected to high intensity impact loads C Ngamkhanong, S Kaewunruen Engineering Structures 214, 110604, 2020 | 52 | 2020 |
| Evaluation of lateral stability of railway tracks due to ballast degradation C Ngamkhanong, B Feng, E Tutumluer, YMA Hashash, S Kaewunruen Construction and Building Materials 278, 122342, 2021 | 47 | 2021 |
| Recycled aggregates concrete compressive strength prediction using artificial neural networks (ANNs) MAR BKA, C Ngamkhanong, Y Wu, S Kaewunruen Infrastructures 6 (2), 17, 2021 | 45 | 2021 |
| Wet/dry influence on behaviors of closed-cell polymeric cross-linked foams under static, dynamic and impact loads S Kaewunruen, C Ngamkhanong, M Papaelias, C Roberts Construction and Building Materials 187, 1092-1102, 2018 | 44 | 2018 |
| Application of artificial neural networks for predicting the stability of rectangular tunnels in Hoek–Brown rock masses S Keawsawasvong, S Seehavong, C Ngamkhanong Frontiers in Built Environment 8, 837745, 2022 | 40 | 2022 |
| Damage and failure modes of railway prestressed concrete sleepers with holes/web openings subject to impact loading conditions S Kaewunruen, C Ngamkhanong, CH Lim Engineering Structures 176, 840-848, 2018 | 40 | 2018 |
| Nonlinear finite element analysis for structural capacity of railway prestressed concrete sleepers with rail seat abrasion R You, K Goto, C Ngamkhanong, S Kaewunruen Engineering Failure Analysis 95, 47-65, 2019 | 39 | 2019 |
| A review on modelling and monitoring of railway ballast C Ngamkhanong, S Kaewunruen, C Baniotopoulos Structural monitoring and Maintenance 4 (3), 195, 2017 | 36 | 2017 |
| Derailment-resistant performance of modular composite rail track slabs S Kaewunruen, Y Wang, C Ngamkhanong Engineering Structures 160, 1-11, 2018 | 30 | 2018 |
| Bearing capacity of ring footings in anisotropic clays: FELA and ANN DK Nguyen, TP Nguyen, C Ngamkhanong, S Keawsawasvong, VQ Lai Neural Computing and Applications 35 (15), 10975-10996, 2023 | 29 | 2023 |
| The effect of ground borne vibrations from high speed train on overhead line equipment (OHLE) structure considering soil-structure interaction C Ngamkhanong, S Kaewunruen Science of the Total Environment 627, 934-941, 2018 | 29 | 2018 |
| Dynamic train-track interactions over railway track stiffness transition zones using baseplate fastening systems C Ngamkhanong, QY Ming, T Li, S Kaewunruen Engineering Failure Analysis 118, 104866, 2020 | 28 | 2020 |
| Neural network-based prediction model for the stability of unlined elliptical tunnels in cohesive-frictional soils S Sirimontree, S Keawsawasvong, C Ngamkhanong, S Seehavong, ... Buildings 12 (4), 444, 2022 | 27 | 2022 |
| Prediction of thermal-induced buckling failures of ballasted railway tracks using artificial neural network (ANN) C Ngamkhanong, S Kaewunruen International Journal of Structural Stability and Dynamics 22 (05), 2250049, 2022 | 24 | 2022 |
| Prediction of the stability of various tunnel shapes based on Hoek–Brown failure criterion using artificial neural network (ANN) T Jearsiripongkul, S Keawsawasvong, C Thongchom, C Ngamkhanong Sustainability 14 (8), 4533, 2022 | 22 | 2022 |
| Influence of time-dependent material degradation on life cycle serviceability of interspersed railway tracks due to moving train loads S Kaewunruen, C Ngamkhanong, J Ng Engineering Structures 199, 109625, 2019 | 22 | 2019 |
| Data-driven prediction of stability of rock tunnel heading: an application of machine learning models C Ngamkhanong, S Keawsawasvong, T Jearsiripongkul, LT Cabangon, ... Infrastructures 7 (11), 148, 2022 | 21 | 2022 |
Sakdirat KaewunruenThe University of Birmingham - Massachusetts Institute of Technology在 mit.edu 的电子邮件经过验证
