Publications by Author: BENBOUTA, Soumia

2025
BENBOUTA S, OUTTAS T, FERROUDJI F. Modal Dynamic Response of a Darreius Wind Turbine Rotor with NACA0018 Blade Profile. Engineering, Technology & Applied Science Research [Internet]. 2025;15 (2) :20863-20870. Publisher's VersionAbstract

The global wind energy industry achieved a significant milestone by reaching a total capacity of one terawatt (TW) by the end of 2023, underscoring the increasing importance of wind energy as a sustainable energy source (Global Wind Energy Outlook, 2022). This study focuses on the simulation and dynamic analysis of an H-Darrieus wind turbine rotor using 3D Finite Element Analysis (FEA). Key structural parameters, including natural frequencies, associated vibration modes, and mass participation rates, were determined to optimize the rotor performance. A novel blade design is proposed in this work, offering a lighter and more robust alternative to traditional rotor blades manufactured from composites, like fiberglass-polyester, fiberglass-epoxy, or combinations with wood and carbon. The lighter design enhances the startup performance at low wind speeds, while the improved strength and fixing mechanisms ensure resilience against the increasingly severe sandstorms reported in recent years. The vibration dynamics of the rotor under critical wind loads were analyzed using the SolidWorks Simulation software, yielding highly satisfactory results. The stability and reliability of the rotor were validated, as the dynamic performance indices, and the quality criteria meet the requirements for optimal operation.

2021
FERROUDJI F, BENBOUTA S, OUTTAS T. NUMERICAL INVESTIGATION ON STATIC AND BUCKLING BEHAVIOURS OF A MAST SUPPORT FOR H-ROTOR DARRIEUS TURBINE UNDER EXTERNAL LOADING. UPB Scientific Bulletin, Series D: Mechanical Engineering [Internet]. 2021;83 (2) :273–284. Publisher's VersionAbstract

The mast support for small vertical axis wind turbine is considered an important parameter during the design process of wind turbine structure. It has been receiving a great attention by researchers and academics. This study presents a numerical investigation on the static and buckling strength behaviors of whole wind turbine mast structure by means Finite Element Analysis (FEA) technique. The FEA simulations are performed in order to evaluate the reliability and the strength of the mast structure under the extreme wind conditions (IEC 61400-2 and Eurocode 1991-1-4 standards) and gravity loads. The simulation results show that the mast structure will not undergo structural failure because the maximum stress induced is less than the yield strength of the material and the maximum displacement is within material allowable deformation limit. In addition, the buckling strength of the structure meets requirement of design.

2020
Hamadi L, Kareche A, Mansouri S, BENBOUTA S. Corrosion inhibition of Fe-19Cr stainless steel by glutamic acid in 1M HCl. Chemical Data Collections [Internet]. 2020;28. Publisher's VersionAbstract
Electrochemical methods, weight loss and surface analysis technique were used to study the effect of glutamic acid on the corrosion of Fe-19Cr stainless steel in 1 M hydrochloric acid solution. Results revealed that the corrosion inhibition of glutamic acid of Fe-19Cr in 1 M HCl was enhanced in the presence of the iodide ions due to synergistic effect. In the absence of KI, the inhibition of Fe-19Cr corrosion by glutamic acid was glutamic acid concentration dependent. Potentiodynamic polarization curves demonstrated that glutamic acid acts as a mixed type inhibitor. Self-Assembled Monolayers of glutamic acid were able to protect stainless steel from corrosion effectively. The adsorption of the inhibitor onto the stainless steel surface follows Langmuir adsorption isotherm. The value of free energy of the adsorption indicated that there is a physical interaction between the glutamic acid and the stainless steel surface.
Hamadi L, Kareche A, Mansouri S, BENBOUTA S. Corrosion inhibition of Fe-19Cr stainless steel by glutamic acid in 1M HCl. Chemical Data CollectionsChemical Data Collections. 2020;28 :100455.