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Chayut Ngamkhanong
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State-of-the-art review of railway track resilience monitoring
C Ngamkhanong, S Kaewunruen, BJA Costa
Infrastructures 3 (1), 3, 2018
1162018
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
622017
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
622017
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
532022
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
452020
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
432018
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
412021
Recycled aggregates concrete compressive strength prediction using artificial neural networks (ANNs)
MAR BKA, C Ngamkhanong, Y Wu, S Kaewunruen
Infrastructures 6 (2), 17, 2021
412021
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
392019
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
372022
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
372018
A review on modelling and monitoring of railway ballast
C Ngamkhanong, S Kaewunruen, C Baniotopoulos
Structural monitoring and Maintenance 4 (3), 195, 2017
352017
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
302018
Derailment-resistant performance of modular composite rail track slabs
S Kaewunruen, Y Wang, C Ngamkhanong
Engineering Structures 160, 1-11, 2018
282018
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
252020
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
242022
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
232023
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
212022
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
212022
Damage detection in fiber-reinforced foamed urethane composite railway bearers using acoustic emissions
P Sengsri, C Ngamkhanong, ALO Melo, M Papaelias, S Kaewunruen
Infrastructures 5 (6), 50, 2020
202020
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Articles 1–20