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Journals peer-reviewed by Scopus

Phan, H.C. and Dhar, A.S. and Bui, N.D. (2023) Reliability assessment of pipelines crossing strike-slip faults considering modeling uncertainties using ANN models. Reliability Engineering and System Safety, 237. ISSN 09518320

Phan, H.C. and Bui, N.D. and Pham, T.D. and Duong, H.T. (2022) Predicting Capacity of Defected Pipe Under Bending Moment with Data-Driven Model. In: International Conference on Modern Mechanics and Applications, ICOMMA 2020, 2 December 2020 through 4 December 2020.

Bui, N.D. and Phan, H.C. and Pham, T.D. and Dhar, A.S. (2022) A hierarchical system to predict behavior of soil and cantilever sheet wall by data-driven models. Frontiers of Structural and Civil Engineering. ISSN 20952430

Phan, H.C. and Dhar, A.S. and Bui, N.D. (2021) Accounting for Source Location on the Vulnerability Assessment of Water Distribution Network. Journal of Infrastructure Systems, 27 (3): 4021024. ISSN 10760342

Duong, H.T. and Phan, H.C. and Tran, T.M. and Dhar, A.S. (2021) Assessment of critical buckling load of functionally graded plates using artificial neural network modeling. Neural Computing and Applications. ISSN 9410643 (In Press)

Phan, H.C. and Bui, N.D. (2021) Failure assessment of defected pipe under strike-slip fault with data-driven models accounting for the model uncertainty. Neural Computing and Applications. ISSN 9410643 (In Press)

Pham, Q.H. and Duong, X.B. and Phan, H.C. and Dinh, D.M. and Nguyen, V.D. and Nguyen, V.N. and Pham, V.T. (2021) Kinematics and dynamics analysis of geostationary satellite antenna system. In: 2nd Annual International Conference on Material, Machines and Methods for Sustainable Development, MMMS 2020, 12 November 2020 through 15 November 2020.

Phan, H.C. and Duong, H.T. (2021) Predicting burst pressure of defected pipeline with Principal Component Analysis and adaptive Neuro Fuzzy Inference System. International Journal of Pressure Vessels and Piping, 189: 104274. ISSN 3080161

Phan, H.C. and Dhar, A.S. (2021) Predicting pipeline burst pressures with machine learning models. International Journal of Pressure Vessels and Piping, 191: 104384. ISSN 3080161

Phan, H.C. and Le, T.-T. and Bui, N.D. and Duong, H.T. and Pham, T.D. (2021) An empirical model for bending capacity of defected pipe combined with axial load. International Journal of Pressure Vessels and Piping, 191: 104368. ISSN 3080161

Le, T.-T. and Phan, H.C. (2020) Prediction of Ultimate Load of Rectangular CFST Columns Using Interpretable Machine Learning Method. Advances in Civil Engineering, 2020: 8855069. ISSN 16878086