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UCLA geotechnical engineering
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Welcome
The uclageo.com website is maintained by the geotechnical engineering group at UCLA. It a software repository, educational resource, research project information guide, and profile database for students and postdoctoral scholars. Thank you for your interest in our geotechnical engineering program, and please feel free to contact us if you have any questions about the contents of this website or our program.

UCLA Geotechnical Engineering
The Geotechnical engineering group at UCLA is among the best earthquake engineering groups in the world. We work on important topics including liquefaction and cyclic softening, earthquake ground motion characterization, the seismic response of levees, soil-structure interaction, site response, seismic earth pressures, risk and reliability analysis, applications of geophysical methods to geotechnical engineering problems, and advanced laboratory testing. We maintain an active group of diverse researchers at all levels, including postdoctoral scholars, PhD, MS, and BS students.

iConsol.js
Analysis of primary consolidation and secondary compression is often handled in a manner that assumes the two phenomena occur in sequence, with secondary compression beginning only after primary consolidation ends. However, secondary compression is occurring constantly in all soils, and does not stop when primary consolidation begins, only to resume after it ends. An implicit finite-difference code for nonlinear consolidation and secondary compression was developed and implemented in a publicly available JavaScript Web application. The rate of secondary compression was defined based on the distance in e-log10(σ′v) space between a current point and a corresponding point on a reference secondary compression line (RSCL). Modeling secondary compression in this manner enables simultaneous occurrence of primary consolidation and secondary compression. The finite-difference code was first verified by comparison with three benchmarks. The influence of secondary compression on settlement versus time was then studied and found to be important for thick and/or low-permeability layers for which primary consolidation requires significant time. Overconsolidated soil was observed to result in an apparent increase in Cα with time, which was also observed in experimental data. Finally, secondary compression was found to be capable of generating excess pore pressure in soils with impeded drainage boundaries.

Next Generation Liquefaction
Procedures for engineering assessment of liquefaction hazards are based to a large extent on the interpretation of field performance data from sites that have or have not experienced ground failure attributable to liquefaction. However, the number of case histories supporting liquefaction procedures is remarkably small. Given the small number of most relevant case histories, it is no surprise that existing databases are incomplete, meaning they cannot constrain important components of engineering predictive models. This unfortunate situation can now be profoundly improved by order-of-magnitude increases in the size and quality of field performance data sets. The database expansion is to a large extent associated with the devastating earthquakes during 2011 in Japan and New Zealand, which caused a great deal of damage attributable to liquefaction and its effects. However, numerous other earthquakes have produced data that has not yet been considered in most of the current liquefaction triggering and effects models, including the 1999 events in Turkey and Taiwan, 2004 and 2007 events in western Japan, the 2010 event in Chile, and 2010-2011 Canterbury earthquakes in New Zealand.
The Next-Generation Liquefaction (NGL) project was launched to (1) substantially improve the quality, transparency, and accessibility of case history data related to ground failure; (2) provide a coordinated framework for supporting studies to augment case history data for conditions important for applications but poorly represented in empirical databases; and (3) provide an open, collaborative process for model development in which developer teams have access to common resources and share ideas and results during model development, so as to reduce the potential for mistakes and to mutually benefit from best practices. This approach is motivated in part by the success of the Next-Generation of Attenuation (NGA) models for ground motion prediction, which has followed this approach and has had substantial global buy-in and broad application.


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