Date: |
02 Oct 2025, 10.00AM – 11.00AM |
duration: |
1 hr |
Location: |
Online |
Cost: |
Free event |
On a site-specific basis, liquefaction evaluations are performed by first evaluating whether a given soil material exhibits a type of soil behavior in which large pore pressure generation and strength loss is possible (susceptibility analysis), followed by assessing whether the state of the soil and the potential future ground shaking at the site are likely to lead to such strength loss (triggering analysis), and finally by considering the potential consequences if liquefaction were to be triggered.
The Next Generation Liquefaction (NGL) project’s Supported Modeling Team (SMT) was tasked with the development of new, probabilistic liquefaction models; this presentation discusses the SMT’s approaches to (i) use the extensive NGL case history and laboratory test results database to perform analyses that previously would have been logistically impractical and (ii) develop relationships required to compute the probabilities of liquefaction susceptibility, triggering, and ground surface manifestation.
The analysis framework developed by the SMT has several elements. First, we assess susceptibility solely in consideration of soil type and behavior considerations and express results in a probabilistic manner instead of binary “yes” or “no” determinations. Second, we evaluate the triggering of liquefaction in a manner that distinguishes between what is generally available from case histories (surface manifestation or lack thereof) from whether liquefaction was triggered in one or more layers (regardless of whether surface manifestation was observed). Third, we introduce a probabilistic approach for evaluating probability of surface manifestation (or lack thereof) based on whether a layer within the profile has triggered, attributes of soil composition in that layer, and stratigraphic information such as layer thickness and depth. This webinar presents the SMT’s recommended empirical models and how to easily implement them in practice.
Presenter: Kenneth (Ken) Hudson is a specialist in geology, strong ground motions, and engineering seismology. He obtained a BS in Earth Science with emphases in geology and geophysics in 2016 and a MS in geophysics in 2017 from the University of California, Santa Barbara. Dr. Hudson began working in industry in 2017 and then began attending courses at the University of California, Los Angeles simultaneously in 2018 where he obtained a MS and PhD in Geotechnical Engineering in 2020 and 2023, respectively.
As a licensed Professional Geologist in the state of California, Dr. Hudson has worked on geologic, geotechnical, and seismic design aspects for high-rise buildings, rail transportation systems, hospitals, schools, and other public and private facilities in the greater Los Angeles Area and internationally. Dr. Hudson has extensive geologic field experience and expertise in large scale computational and statistical analyses for application in geologic and geotechnical problems
NZGS warmly welcome you to attend a national webinar on the Next Generation Liquefaction (NGL) project. The webinar will consist of a 45min presentation by Kenneth Hudson, a key member of the NGL team.
On a site-specific basis, liquefaction evaluations are performed by first evaluating whether a given soil material exhibits a type of soil behavior in which large pore pressure generation and strength loss is possible (susceptibility analysis), followed by assessing whether the state of the soil and the potential future ground shaking at the site are likely to lead to such strength loss (triggering analysis), and finally by considering the potential consequences if liquefaction were to be triggered.
The Next Generation Liquefaction (NGL) project’s Supported Modeling Team (SMT) was tasked with the development of new, probabilistic liquefaction models; this presentation discusses the SMT’s approaches to (i) use the extensive NGL case history and laboratory test results database to perform analyses that previously would have been logistically impractical and (ii) develop relationships required to compute the probabilities of liquefaction susceptibility, triggering, and ground surface manifestation.
The analysis framework developed by the SMT has several elements. First, we assess susceptibility solely in consideration of soil type and behavior considerations and express results in a probabilistic manner instead of binary “yes” or “no” determinations. Second, we evaluate the triggering of liquefaction in a manner that distinguishes between what is generally available from case histories (surface manifestation or lack thereof) from whether liquefaction was triggered in one or more layers (regardless of whether surface manifestation was observed). Third, we introduce a probabilistic approach for evaluating probability of surface manifestation (or lack thereof) based on whether a layer within the profile has triggered, attributes of soil composition in that layer, and stratigraphic information such as layer thickness and depth. This webinar presents the SMT’s recommended empirical models and how to easily implement them in practice.
Presenter: Kenneth (Ken) Hudson is a specialist in geology, strong ground motions, and engineering seismology. He obtained a BS in Earth Science with emphases in geology and geophysics in 2016 and a MS in geophysics in 2017 from the University of California, Santa Barbara. Dr. Hudson began working in industry in 2017 and then began attending courses at the University of California, Los Angeles simultaneously in 2018 where he obtained a MS and PhD in Geotechnical Engineering in 2020 and 2023, respectively.
As a licensed Professional Geologist in the state of California, Dr. Hudson has worked on geologic, geotechnical, and seismic design aspects for high-rise buildings, rail transportation systems, hospitals, schools, and other public and private facilities in the greater Los Angeles Area and internationally. Dr. Hudson has extensive geologic field experience and expertise in large scale computational and statistical analyses for application in geologic and geotechnical problems
