Advanced Computational Methodologies for Smart Multifunctional Composites


   School of Computing, Engineering & the Built Environment

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  Dr Chennakesava Kadapa , Dr Fadi Kahwash  Applications accepted all year round  Self-Funded PhD Students Only

About the Project

Smart multifunctional composites (MFCs) such as electroactive polymers, magnetoactive polymers, hydrogels, photosensitive polymers, liquid-crystal elastomers etc., are increasingly being used for various applications in soft robotics, precision drug delivery, tactile sensors and shape morphing. A major challenge in the computational modelling of these MFCs is their inherent thin geometries. Moreover, their deformation response is highly nonlinear and incompressible, typically modelled with the extended versions of hyperelastic constitutive models. The combination of thin geometries, highly nonlinear stress- strain response and the incompressible nature of deformations makes it extremely challenging to develop computational methodologies for these smart multifunctional composites.

This project will develop state-of-the-art beam and shell finite elements for simulating coupled multiphysical interactions of smart MFCs under extreme environments by considering anisotropic, viscoelastic, transient and multiphysical effects. This project includes collaborations with other institutions at the national and international levels. The project consists of the following major activities:

• Develop beam and shell finite elements for smart multifunctional composites.

• Incorporate viscoelastic and elastodynamic effects.

• Validate the simulation framework.

• Disseminate research outputs in journals and at conferences.

Applications should make it clear the project you are applying for and the name of the supervisors.

Academic qualifications

A first-class honours degree, or a distinction at master level, or equivalent achievements ideally in Mechanical Engineering, Aerospace Engineering, Civil Engineering, Mathematics

English language requirement

If your first language is not English, comply with the University requirements for research degree programmes in terms of English language.

Application process

Prospective applicants are encouraged to contact the supervisor, Dr Chennakesava Kadapa () to discuss the content of the project and the fit with their qualifications and skills before preparing an application. 

The application must include: 

Research project outline of 2 pages (list of references excluded). The outline may provide details about

  • Background and motivation, explaining the importance of the project, should be supported also by relevant literature. You can also discuss the applications you expect for the project results.
  • Research questions or
  • Methodology: types of data to be used, approach to data collection, and data analysis methods.
  • List of references

The outline must be created solely by the applicant. Supervisors can only offer general discussions about the project idea without providing any additional support.

  • Statement no longer than 1 page describing your motivations and fit with the project.
  • Recent and complete curriculum vitae. The curriculum must include a declaration regarding the English language qualifications of the candidate.
  • Supporting documents will have to be submitted by successful candidates.
  • Two academic references (but if you have been out of education for more than three years, you may submit one academic and one professional reference), on the form can be downloaded here.

Applications can be submitted here.

Download a copy of the project details here.

Engineering (12) Mathematics (25)

References

[1] Kadapa, C. and Hossain, M. (2022) ‘A unified numerical approach for soft to hard magneto-viscoelastically coupled polymers’, Mechanics of Materials, 166, p. 104207.
[2] Kadapa, C., Li, Z., Hossain, M. and Wang, J. (2021), ‘On the advantages of mixed formulation and higher-order elements for computational morphoelasticity’, Journal of Mechanics and Physics of Solids, 148, p.104289.
[3] Kadapa, C. and Hossain, M. (2020) ‘A robust and computationally efficient finite element framework for coupled electromechanics’, Computer Methods in Applied Mechanics and Engineering, 372, p. 113443.
[4] Kadapa, C., (2021) ‘A simple extrapolated predictor for overcoming the starting and tracking issues in the arc-length method for nonlinear structural mechanics’, Engineering Structures, 234, p. 111755.
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