Takip et
Suria Devi Vijaya Kumar
Suria Devi Vijaya Kumar
PETRONAS University of Technology
utp.edu.my üzerinde doğrulanmış e-posta adresine sahip
Başlık
Alıntı yapanlar
Alıntı yapanlar
Yıl
Failure pressure prediction of high toughness pipeline with a single corrosion defect subjected to combined loadings using artificial neural network (ANN)
SD Vijaya Kumar, S Karuppanan, M Ovinis
Metals 11 (2), 373, 2021
422021
Artificial neural network-based failure pressure prediction of API 5L X80 pipeline with circumferentially aligned interacting corrosion defects subjected to combined loadings
SD Vijaya Kumar, S Karuppanan, M Ovinis
Materials 15 (6), 2259, 2022
222022
A review of finite element analysis and artificial neural networks as failure pressure prediction tools for corroded pipelines
SD Vijaya Kumar, M Lo Yin Kai, T Arumugam, S Karuppanan
Materials 14 (20), 6135, 2021
152021
Empirical failure pressure prediction equations for pipelines with longitudinal interacting corrosion defects based on artificial neural network
SD Vijaya Kumar, M Lo, S Karuppanan, M Ovinis
Journal of Marine Science and Engineering 10 (6), 764, 2022
132022
The influence of axial compressive stress and internal pressure on a pipeline network: a review
T Arumugam, SD Vijaya Kumar, S Karuppanan, M Ovinis
Applied Sciences 13 (6), 3799, 2023
122023
Failure pressure prediction of corroded high-strength steel pipe elbow subjected to combined loadings using artificial neural network
SD Vijaya Kumar, S Karuppanan, V Perumal, M Ovinis
Mathematics 11 (7), 1615, 2023
82023
An empirical equation for failure pressure prediction of high toughness pipeline with interacting corrosion defects subjected to combined loadings based on artificial neural …
SD Vijaya Kumar, S Karuppanan, M Ovinis
Mathematics 9 (20), 2582, 2021
72021
Failure pressure prediction of medium to high toughness pipe with circumferential interacting corrosion defects subjected to combined loadings using artificial neural network
SD Vijaya Kumar, M Lo, S Karuppanan, M Ovinis
Applied Sciences 12 (9), 4120, 2022
52022
An artificial neural network-based equation for predicting the remaining strength of mid-to-high strength pipelines with a single corrosion defect
M Lo, SD Vijaya Kumar, S Karuppanan, M Ovinis
Applied Sciences 12 (3), 1722, 2022
42022
Structural integrity assessment of pipe elbows: burst test and finite element analysis
SDV Kumar, S Karuppanan, V Perumal, M Ovinis
International Journal of Pressure Vessels and Piping 212, 105339, 2024
22024
Performance evaluation of commercial lost circulation materials
M Idress, ML Hasan, SDV Kumar
Materials Today: Proceedings 19, 1136-1144, 2019
22019
Failure pressure prediction of high-strength steel pipe bend considering pipe and corrosion geometry
SD Vijaya Kumar, S Karuppanan, V Perumal, M Ovinis
Discover Applied Sciences 6 (4), 165, 2024
12024
A Novel Steel Lazy Wave Riser Configuration for Ultra-Deepwater
C Haoran, S Karuppanan, V Perumal, M Ovinis, F Lim, SDV Kumar
Civil Engineering Journal 11 (1), 33-43, 2025
2025
Failure Pressure Prediction of Pipe Elbow with Longitudinally Aligned Interacting Corrosion Defects Subjected to Internal Pressure
SDV Kumar, HA Tengku, S Karuppanan
2022 International Conference on Digital Transformation and Intelligence …, 2022
2022
Role of transdermal testosterone gel pretreatment in poor responders on IVF outcome-a prospective randomised controlled trial with active control
P Padmashri, N Singh, S Kumar, V Perumal
BJOG-AN INTERNATIONAL JOURNAL OF OBSTETRICS AND GYNAECOLOGY 126, 207-207, 2019
2019
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