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Research project (§ 26 & § 27)
Duration : 2020-03-02 - 2021-09-01

Compressed Air Energy Storage (CAES) uses surplus energy (night period, solar and wind) to compress and store air, which can be released later to generate energy. Pile foundations under buildings provide attractive storage space for small facilities. The performance of such piles depends mainly on the behavior of the surrounding soil under thermal and mechanical loading. In this project, we will carry out numerical simulations on the pile performance by considering such soil behavior like anisotropy, over-consolidation and creep.
Research project (§ 26 & § 27)
Duration : 2018-01-01 - 2021-04-30

Large strain and large displacement are common for many problems in geotechnical engineering. Traditionally such problems are simulated by Finite Element Method (FEM). However, such mesh-based methods suffer from inaccuracy and instability for large strain and displacement. The meshless method Smooth Particle Hydrodynamics (SPH) has been developed to handle such problems. We will develop our own SPH-code to simulate such problems as debris flow, sand jet and soil-structure interaction. The numerical model will be validated by comparing the numerical results with centrifuge model tests.
Research project (§ 26 & § 27)
Duration : 2018-05-01 - 2022-04-30

HERCULES brings together a multidisciplinary team to develop further our understanding of geohazards making infrastructure more resilient under changing climates. The programme will undertake fundamental research to assess and predict risks due to geohazards ultimately helping inform end-user delivery. The proposed study will employ a range of novel research approaches across multiple scales, from the macro-scale, e.g. by integrating Earth Observation techniques, through the meso-scale, e.g. by running experiments in the laboratory, to the micro-scale e.g. by investigating the ground behaviour at the scale of soil particles experimentally using tomography and develop numerical techniques as the Discrete Element Method.

Supervised Theses and Dissertations