The present research involves the investigation of fine grained particle interactions under the influence of varied ionic concentration and pH effects (via Sedimentation Test, Liquid Limit, Viscosity, Shear Wave Velocity Measurement using the Oedomoter et cetera) and the applications of the results to fabric map formation, control and to the ever evolving engineering practice. Alongside each of the aforementioned experimental modules, the electrical behavior will also be studied in the same ionic concentration and pH space.
Finally, with the ensuing results analyzed, well-advised particle associations vis-à-vis dominant inter-particle forces under the influence of varied pH and ionic concentrations will be derived for the fine grained soil samples, which will aid the proper understanding of their electrical conductivities and the development of their fabric map, both in the ionic concentration-pH space.
The prediction of liquefaction potential is study area with diverse assessment methods. Probabilistic approach has an advantage because of its consideration for geotechnical uncertainties and spatial effects. The dynamic soil parameters of different soil layers are derived from field SPT N(60) data.
Different geostatistical models of liquefaction potential are simulated for the prospective site. The outcome of these investigations aids in the generation of a better seismic liquefaction potential and hazard map.
The purpose of this research is to synthesize a polymerized soil composite from different mass ratio mixtures of polyurethane and silica. Bender element oedometer cell test was conducted on the composite and pure silica material for characterization.
Comparison of the geotechnical properties (i.e.; Shear Modulus and Compression) of the new composite material will be used to predict the optimum synthesis procedure and the behavior of the best polyurethane and silica composite.
Dynamic geo-centrifuge facility is used to model soil-structure interaction (SSI) during an earthquake with bender element array to measure shear-wave velocity profile, which should be matched with dynamic soil properties observed by Oedometer tests and resonant column (RC) test.
Flac3D simulation with nonlinear soil properties (i.e., constitutive soil model and hysteretic damping) obtained from the results of RC and Oedometer tests, and implement of free-field and interface elements. Properties of structures could be estimated by performing impact hammer testing on small-scale structural models with considering scaling law.
Heat transfer in soils is governed by thermal properties, especially the thermal conductivity of the soil, which is also one of the essential parameters related to heat exchange, and a factor in analysing the performance of energy geo-structure.
Geo-COUS (FEM software) which employs thermal-hydraulic phenomenon, is used to simulate heat transfer of soil with a geo-energy wall. The numerical result is validated to compare the measured surface temperature obtained and the calculated surface temperature. Seasonal variation of soil temperature effect on the subway system was also estimated.
Detecting voids beneath the surface is critical for maintaining the safety, integrity, and performance of underground structures such as tunnels, pipelines, foundations, and roadways. These hidden anomalies—often caused by soil erosion, poor compaction, or groundwater movement—can lead to structural failures if left undetected.
Development of advanced techniques such as application of stereo microphones to identify and characterize underground voids using impact-echo method. Using signal processing methods (eg. FFT, wavelet, and CCF) in conjunction with machine learning, voids are clearly detected.