Research

Research Statement

Dr. Song’s research focuses on physical, theoretical and computational modeling of multi-physics processes and failure in porous geological materials under environmental loads (e.g., humidity and temperature) and extreme events (e.g., earthquake and hurricane). His current research on numerical modeling of multiphase porous media (e.g., geological materials) at multiple space and time scales (i.e., nanometers to kilometers and nanoseconds to years) through HPC has a broad spectrum of applications in engineering and science, for instance,  geo-hazard engineering (e.g., landslides, fault propagation, and soil liquefaction), as well as energy, environmental, coastal, and biological geotechnics (e.g., geothermal energy production and storage). 

Our research has been supported by the NSF (including an NSF CAREER award), FDOT, and the HiPerGator supercomputer. We are grateful for the support.

Research Interests

• Bearing resistance of cantilever sheet piles - numerical modeling and centrifuge testing 

• Bearing capacity of high-porous carbonate rocks - high-pressure triaxial testing and modeling

• Bio-stabilized and bio(nature)-inspired geotechnics - physical testing and modeling

• Numerical modeling of landslides, subsidence, and soil liquefaction

• Localization, instability, and cracks of saturated/unsaturated geomaterials

• Computational large deformation and fracturing poromechanics

• Multi-scale mechanics and multi-physics of geomaterials

• AI/ML/DL/Digital Twins in geo-hazards and risk engineering 

• Remote sensing and data science

• Nanoscale clay science

Thematic Topics

"Wheresoever you go, go with all your heart." --- Kong Zi

"Theory is the language by means of which lessons of experience can be clearly expressed. " --- Karl von Terzaghi

"The most fruitful research grows out of practical problems."  --- Ralph B Peck

"Wisdom is not a product of schooling but of the lifelong attempt to acquire it." --- Albert Einstein

"Instead of trying to produce a program to simulate the adult mind, why not rather try to produce one which simulates the child's? If this were then subjected to an appropriate course of education one would obtain the adult brain." --- Alan Turing