Computational Fluid Dynamic Analysis of Flow Patterns Around Rhizophora Mangrove Roots

Rahuman, Sini; Ismail, Mohamed A.; Varghese, Shyla Manavalan

doi:10.1007/978-981-16-0739-4_102

Cited by 3 publications

(1 citation statement)

References 6 publications

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“…Another CFD study performed to investigate the 2D water flow around the roots using different turbulence models and identify that the roots can reduce the water velocity [27]. CFD has been used to analyze wind flow (compressible and incompressible) around Avicenia mangrove roots to analyze the flow patterns around the roots [28]. Another CFD study conducted recently to investigate the water flow patterns around Rhizophora mangrove roots by using the velocity as step function, in which it was discovered that the root has the capacity of reducing the velocity of fluid [29].…”

Section: Introductionmentioning

confidence: 99%

Wind Flow Simulation around Rhizophora Mangrove Roots Using Computational Fluid Dynamics

Rahuman

Ismail

Varghese

et al. 2022

Journal of Nanomaterials

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The characteristics of Rhizophora mangrove root structures and its efficiency in velocity dissipation process of heavy wind are studied in this paper. The influence of Rhizophora Mangrove roots on severe tropical storm (88 -117 km/hr.), intense tropical cyclone (166-212 km/hr.), and very intense tropical cyclone (above 212 km/hr.) is investigated by simulating wind flow around these roots with inlet velocities 100 km/hr., 200 km/hr., and 300 km/hr. ANSYS Fluent software is used for developing the computational fluid dynamic (CFD) model and to perform simulation and analysis. The flow velocity profile reveals that these mangrove root structures have a significant impact on the severe and intense wind flow. It is found that the Rhizophora root structures reduce the velocity of the wind by more than 80% of the inlet velocity. This information can be utilized to visualize and better understand the benefits of these root structures and to reestablish mangrove forest, create new breakwater models, and to strengthen the existing ones.

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Section: Introductionmentioning

confidence: 99%

Wind Flow Simulation around Rhizophora Mangrove Roots Using Computational Fluid Dynamics

Rahuman

Ismail

Varghese

et al. 2022

Journal of Nanomaterials

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Enhancing Coastal Resilience: Computational Fluid Dynamics Analysis of Wind Mitigation using Rhizophora Mangroves in Pichavaram Mangrove Forest

Rahuman,

V A,

Vargese

et al. 2024

2024 1st International Conference on Innovative Engineering Sciences and Technological Research (ICIESTR)

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Comparative Study of Flow Patterns around Rhizophora and Avicennia Mangrove Roots Using Computational Fluid Dynamics Simulation

Rahuman

Ismail

Varghese

et al. 2022

Advances in Materials Science and Engineering

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The goal of this research is to visualize and compare the patterns of the fluid flow around stilt roots of Rhizophora mangrove species and pneumatophore roots of Avicennia mangrove species in Pichavaram mangrove forest to better understand how mangrove roots can potentially slow down heavy wind flow and thereby offer protection to the coast from natural disasters. The flow around the roots is simulated and analyzed using ANSYS Computational Fluid Dynamics (CFD) software using an unsteady k-ε turbulence model. Wind and water flow velocities vary with respect to time during tsunami, cyclones, typhoons, or hurricanes. Hence, inlet velocity taken as the step function is applied to simulate the change in speed of fluid flow to study the flow behavior. Velocity and pressure are measured at various points around Rhizophora and Avicennia mangrove roots. The findings of the simulation reveal that the Rhizophora stilt roots and pneumatophore roots of Avicennia marina continuously lower the fluid velocity. The Rhizophora mangrove roots can largely decrease the flow velocity because of the complexity and its root dimensions in comparison to Avicennia roots. The data obtained from this research can be applied to increase the efficiency of breakwater models and, as a result, safeguard the shore from natural disasters.

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Computational Fluid Dynamic Analysis of Flow Patterns Around Rhizophora Mangrove Roots

Cited by 3 publications

References 6 publications

Wind Flow Simulation around Rhizophora Mangrove Roots Using Computational Fluid Dynamics

Wind Flow Simulation around Rhizophora Mangrove Roots Using Computational Fluid Dynamics

Enhancing Coastal Resilience: Computational Fluid Dynamics Analysis of Wind Mitigation using Rhizophora Mangroves in Pichavaram Mangrove Forest

Comparative Study of Flow Patterns around Rhizophora and Avicennia Mangrove Roots Using Computational Fluid Dynamics Simulation

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