Chennakesava Kadapa
chennakesava kadapa

Dr Chennakesava Kadapa

Lecturer

  C.Kadapa@napier.ac.uk

   

Biography

I am a Lecturer in Mechanical Engineering at Edinburgh Napier University since August 2022. Prior to joining ENU, I worked as a Lecturer at the University of Bolton (Dec-2020 to Jul-2022). I have a PhD in Mechanical Engineering from Swansea University (2010-2013). I received the prestigious Zienkiewicz scholarship for my PhD at Swansea University. After my PhD, I worked as a research officer and Research Software Engineer on several industry-funded projects in computer modelling and simulation at Swansea University.

I am currently a member of the UKACM board and ASME UK Section leadership team. I am also a Fellow of the Higher Education Academy (FHEA). I taught various undergraduate and postgraduate courses in Mechanical Engineering at Swansea and Bolton. Currently, I teach UG and PG courses at ENU.

My research work focusses on cutting-edge simulation techniques for multi-physics problems in solid mechanics, fluid mechanics, fluid-structure interaction and electro-magneto-mechanics. I proposed state-of-the-art simulation frameworks for fluid-structure interaction, incompressible solid mechanics, electromechanics, magnetomechanics and morphoelasticity. My expertise also includes research software development for FEA, CFD and Multiphysics, including parallelisation for HPC. I published several single-author and first-author papers in prestigious international journals. I regularly peer-review articles for international journals in the field.

For more details about my research, please visit my lab website at
https://sites.google.com/view/comp-multiphysics-lab/home

School

Themes

Research Areas

Esteem

Advisory panels and expert committees or witness

  • Interview panel for ERC-funded PDRA at QMUL
  • Multiphsyics Lead

 

Fellowships and Awards

  • Fellow of the Higher Education Academy (FHEA)
  • Jenkinson Research Awards Winner
  • Zienkiewicz Scholarship for PhD

 

Grant Reviewer

  • EPSRC Postdoctoral Fellowships

 

Invited Speaker

  • UK-France Seed meeting and colloquium on Vortex-Dominated Flow Physics of Bio-Inspired Porous & Flexible Structures,
  • Computational FSI - Challenges and some recent developments
  • Advanced Computational Methods for Smart Soft Multifunctional Composites

 

Membership of Professional Body

  • Board member of the UK Association for Computational Mechanics
  • Member-at-large of the ASME UK Section

 

Reviewing

  • Review for International Journal of Chemical Engineering
  • Review for Applied Ocean Research
  • Review for Journal of Vibration Engineering & Technologies
  • Peer Reviewer for journals

 

Filter by

Date


29 results

Effect of pulsating flow on flow-induced vibrations of circular and square cylinders in the laminar regime

Journal Article
Wang, X., Zhang, Z., Shi, K., Zhu, X., Guo, X., Mei, Y., & Kadapa, C. (2024)
Effect of pulsating flow on flow-induced vibrations of circular and square cylinders in the laminar regime. Ocean Engineering, 301, Article 117609. https://doi.org/10.1016/j.oceaneng.2024.117609
Through fluid-structure interaction simulations, this study assesses the dynamic response characteristics of elastically mounted circular and square cylinders subjected to pul...

A Novel Immersed Framework of Computational Fluid Structure Interaction

Conference Proceeding
Xinyu, W., Kadapa, C., & Yue, M. (2024)
A Novel Immersed Framework of Computational Fluid Structure Interaction. In Computational and Experimental Simulations in Engineering: Proceedings of ICCES 2023 (1313-1325). https://doi.org/10.1007/978-3-031-42987-3_92
The interaction between fluid and immersed solid is a nonlinear multi-physical phenomenon in science and engineering. Due to the challenges of large structural deformation, to...

Advanced FE framework for magnetoactive polymers including viscoelastic and elastodynamics effects

Presentation / Conference
Kadapa, C., & Hossain, M. (2022, August)
Advanced FE framework for magnetoactive polymers including viscoelastic and elastodynamics effects. Paper presented at EUROMECH Colloquium on Mechanics of Soft Active Polymers, Southampton, United Kingdom

A comprehensive assessment of accuracy of adaptive integration of cut cells for laminar fluid-structure interaction problems

Journal Article
Kadapa, C., Wang, X., & Mei, Y. (2022)
A comprehensive assessment of accuracy of adaptive integration of cut cells for laminar fluid-structure interaction problems. Computers and Mathematics with Applications, 122, 1-18. https://doi.org/10.1016/j.camwa.2022.07.006
Finite element methods based on cut-cells are becoming increasingly popular because of their advantages over formulations based on body-fitted meshes for problems with moving ...

A short review of vapour droplet dispersion models used in CFD to study the airborne spread of COVID19

Journal Article
Mehade Hussain, S., Goel, S., Kadapa, C., & Aristodemou, E. (2022)
A short review of vapour droplet dispersion models used in CFD to study the airborne spread of COVID19. Materials Today: Proceedings, 64(3), 1349-1356. https://doi.org/10.1016/j.matpr.2022.03.724
The use of computational fluid dynamics (CFD) to simulate the spread of COVID19 and many other airborne diseases, especially in an indoor environment needs accurate understand...

A unified numerical approach for soft to hard magneto-viscoelastically coupled polymers

Journal Article
Kadapa, C., & Hossain, M. (2022)
A unified numerical approach for soft to hard magneto-viscoelastically coupled polymers. Mechanics of Materials, 166, Article 104207. https://doi.org/10.1016/j.mechmat.2021.104207
The last decade has witnessed the emergence of magneto-active polymers (MAPs) as one of the most advanced multi-functional soft composites. Depending on the magnetisation mech...

Multiscale Modeling for the Statics of Nanostructures

Book Chapter
Hoang, K., & Kadapa, C. (2021)
Multiscale Modeling for the Statics of Nanostructures. In S. Chakraverty (Ed.), Nano Scaled Structural Problems: Static and Dynamic Behaviors (1-38). AIP Publishing. https://doi.org/10.1063/9780735422865_002
Characterization of mechanical properties of materials is essential toward understanding their deformation behavior when subjected to external forces. For a complete understan...

Analytical study on growth-induced axisymmetric deformations and shape-control of circular hyperelastic plates

Journal Article
Li, Z., Wang, Q., Du, P., Kadapa, C., Hossain, M., & Wang, J. (2022)
Analytical study on growth-induced axisymmetric deformations and shape-control of circular hyperelastic plates. International Journal of Engineering Science, 170, Article 103594. https://doi.org/10.1016/j.ijengsci.2021.103594
Growth of soft material plates is commonly observed in nature. However, the relations between growth fields and shape changes of the plate samples remain poorly understood. Th...

A Unified Simulation Framework for Fluid–Structure–Control Interaction Problems with Rigid and Flexible Structures

Journal Article
Kadapa, C. (2022)
A Unified Simulation Framework for Fluid–Structure–Control Interaction Problems with Rigid and Flexible Structures. International Journal of Computational Methods, 19(01), Article 2150052. https://doi.org/10.1142/s0219876221500523
Vortex-induced vibrations are often unwanted as they can lead to catastrophic failure of the associated structures, warranting countermeasures to mitigate or suppress these vi...

Towards robust and efficient solvers for fluid-structure interaction problems involving thin flexible structures

Conference Proceeding
Kadapa, C. (2021)
Towards robust and efficient solvers for fluid-structure interaction problems involving thin flexible structures. In UK Association for Computational Mechanics (UKACM) 2021 Conference
This work proposes a new single-step implicit-explicit scheme for computationally efficient numerical solutions of fluid-structure interaction problems involving laminar incom...

Non-Napier PhD or MSc by Research supervisions

  • Application of Artificial Intelligence in Project Management: Predictive Models for Employee Attrition using KNN, MLP, and XGBoost Algorithms as a case study.