Grad heads research into ground improvement technique ahead of earthquakes
Inset: Juan Carlos Tiznado working in the geotechnical centrifuge facility at CU Boulder.
Juan Carlos Tiznado (PhDCivEngr’20) is the lead author on a new paper in the and more reliably mitigate it.
Every structure around us rests on soil or rock. In major earthquakes, loose saturated soils that normally behave as solids, such as loose sands below the water table, can transition into a semi-liquid state. That process is known as liquefaction, and factors like the intensity and duration of the quake along with the soil composition in the area play a part in the process.
Liquefaction remains one of the main causes of damage to physical infrastructure during earthquakes and can prevent community lifelines like healthcare, transportation, and power from being immediately restored afterwards, said Tiznado.
“This work focused on a ground improvement technique known as dense granular columns (DGC), which aims at mitigating the effects of soil liquefaction and improves structural performance during strong earthquakes,” he said. “Essentially, we developed the first probabilistic predictive models that help engineers evaluate the probability and expected degree of liquefaction in sites treated with DGCs. With this tool, we can now assess a site for a variety of mitigation scenarios, to help make informed decisions regarding earthquake risk reduction.”
Tiznado added that the work could be particularly useful when planning around important structures like road embankments and dams that are founded on saturated and relatively young (in a geological sense) granular deposits.
Tiznado started as a doctoral candidate in Associate Professor Shideh Dashti’s group in the Department of Civil, Environmental and Architectural Engineering, eventually graduating with a dual PhD from CU Boulder and Pontifical Catholic University of Chile in December 2020. He then served as a postdoctoral researcher under Dashti briefly before taking a faculty position at Pontifical Catholic University, where he works today.
The authors used the geotechnical facility at CU Boulder – which includes three state-of-the-art centrifuges – to complete some of the work. They also benefitted from the super-computing facility (Summit) at CU Boulder to perform the extensive set of numerical simulations presented in this paper.
“In addition to physical and numerical modeling, we collected case histories from previous earthquakes using DGCs to validate our proposed model,” Tiznado said. “Consequently, we used machine learning techniques that helped us optimize the postprocessing of data required to develop our statistical design procedures.”
Dashti said this methodologically integrated approach will, for the first time, enable engineers to reliably evaluate the likelihood of liquefaction in stratigraphically variable liquefiable deposits that are treated with DGCs, contributing to the seismic safety of our critical infrastructure globally.