skip to primary navigationskip to content
 

Rakshya Shrestha

Rakshya Shrestha

PhD Research Student


Office Phone: +44 (0)1223 766683

Biography:

Rakshya graduated from Institute of Engineering, Pulchowk, Nepal with B.E. degree in Civil Engineering in December 2005, with a Distinction. In September 2008, she obtained her M.S. degree in Physical Land Resources from University of Gent and Vrije University Brussels, Belgium where she was awarded the VLIR (Vlaamse Interuniversitaire Raad) scholarship by the Belgian Directorate-General Development Cooperation (DGDC) during her studies. Currently, she is undertaking her study in the Geotechnical and Environmental Engineering Research Group since January 2009.Her research is supervised by Dr. Abir Al-Tabbaa and funded by the Cambridge University Department of Engineering and the Cambridge Overseas Trust. Rakshya is affiliated to the Queens’ College.

Departments and Institutes

Department of Engineering:

Research Interests

Rakshya’s research interest is based on the increasingly wide use of Deep Soil Mixing Technology. Her research area particularly includes:

  • Different factors affecting the design of deep soil mixed material: During her study, she plans to carry out a detailed literature review on different factors affecting the design performance of the deep soil mixed material. Identify the major variables by comparing and contrasting the performances and perform a critical assessment based on the performance and economy
  • Information Management of Deep Soil Mixing: Collecting and managing data related to deep soil mixing from as many major deep mixing projects in the world as possible and also creating data from her own experimental works. Setting up a database, analyzing the data and using the data for the correlation and prediction of important design parameters. Strength, Stiffness, binder types and doses, soil types, mixing and curing conditions are some of the many parameters she is interested in and looks forward to assess them during her study. She plans to use ‘Trajan 6.0 Professional software’, an Artificial Neural Network concept simulation package for the data management and analysis.

Collaborators