English version
Mohamed El Amine Ben Seghier

Mohamed El Amine Ben Seghier

Publikasjoner og forskningsresultater

Vitenskapelige publikasjoner

Muddassir, Muhammad; Zayed, Tarek; Taiwo, Ridwan; Ben Seghier, Mohamed El Amine (2024). Advancing the analysis of water pipe failures: a probabilistic framework for identifying significant factors. Scientific Reports. Vol. 14.
https://doi.org/10.1038/s41598-024-69855-w

Chenglu, Hu; Qichi, Le; Dandan, Li; Ben Seghier, Mohamed El Amine ; Ruizhen, Guo; Qi, Zou; Zhou, Xiong; Zhang, Xinyue; Jiang, Yanchao; Wang, Tong (2024). In-situ synthesis and performance evaluation of novel color coatings for galvanized steel. 10 s. Journal of Materials Research and Technology (JMR&T). Vol. 29.
https://doi.org/10.1016/j.jmrt.2024.01.083

Taiwo, Ridwan; Abdul-Mugis, Yussif; Ben Seghier, Mohamed El Amine ; Tarek, Zayed (2024). Explainable ensemble models for predicting wall thickness loss of water pipes. Ain Shams Engineering Journal.
https://doi.org/10.1016/j.asej.2024.102630

Taiwo, Ridwan; Tarek, Zayed; Seghier, Mohamed El Amine Ben (2024). Integrated intelligent models for predicting water pipe failure probability. 14 s. Alexandria Engineering Journal. Vol. 86.
https://doi.org/10.1016/j.aej.2023.11.047

Hou, Jian; Qichi, Le; Liang, Chen; Yonghui, Jia; Chenglu, Hu; Seghier, Mohamed El Amine Ben (2023). Domination and effect of multi-parameters in direct chill casting based on establishment of thermo model by numerical simulation and experiment. Journal of Materials Research and Technology (JMR&T). Vol. 27.
https://doi.org/10.1016/j.jmrt.2023.09.308

Seghier, Mohamed El Amine Ben ; Knudsen, Ole Øystein; Skilbred, Anders Werner Bredvei; Höche, Daniel (2023). An intelligent framework for forecasting and investigating corrosion in marine conditions using time sensor data. 10 s. npj Materials Degradation. Vol. 7.
https://doi.org/10.1038/s41529-023-00404-y

Han, Ziyue; Li, Xinhong; Zhang, Renren; Yang, Ming; Seghier, Mohamed El Amine Ben (2023). A dynamic condition assessment model of aging subsea pipelines subject to corrosion-fatigue degradation. 9 s. Applied Ocean Research. Vol. 139.
https://doi.org/10.1016/j.apor.2023.103717



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