J. R. Keaton

Publications15
h-index2
Citations12
Highly Influential Citations1
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Engineering Geological Models IAEG Commission 25
IAEG Commission C25 on the ‘Use of Engineering Geological Models’ has recently completed a report entitled “Engineering Geological Models—An Introduction” to be published in the Bulletin of… Expand
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Enhancing Pipeline Project Management With Refined Rock Excavation Forecasting
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GEER Response to the Oso Landslide: Documenting Perishable Details Helps Turn Disaster into Knowledge
Two months after the disastrous March 22, 2014 landslide near Oso, Washington, GEER representatives visited the affected area to gather data. This article is based on the report generated by the team.
Review of Bridge Sites Visited for NCHRP Project 24-29: Scour at Bridge Foundations on Rock
The five bridge sites described in this paper demonstrate a wide range of field conditions (e.g., drainage basin area, geologic setting, elevation, and climate) and tests results. Using test results… Expand
Discussion of “Case Study: Oso, Washington, Landslide of March 22, 2014—Material Properties and Failure Mechanism” by Timothy D. Stark, Ahmed K. Baghdady, Oldrich Hungr, and Jordan Aaron
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A Suggested Geologic Model Complexity Rating System
A geologic model captures selected geologic qualities in a region and at a site. An engineering geologic model is relevant to a project and includes specific project aspects. Geology expressed… Expand
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Do a Good Job: Professional-Practice Guidelines and Competition
“The best way to avoid getting sued is to just do a good job.” These words were spoken by Dr. James E. Slosson in the early 1970s. As State Geologist from 1973 to 1975, Slosson led the California… Expand
EXPRESSING UNCERTAINTY AND VARIABILITY IN GEOLOGIC MAPPING AND GEOTECHNICAL DATA FOR HAZARD EVALUATION
Suggested Enhancements to the Geologic Model Complexity Rating System
TLDR
The suggested Geologic Model Complexity Rating System, introduced in 2014, was developed considering the 1993 Oregon rockfall hazard rating system with four rating levels. Expand
Mapping landslides for the insurance industry – lessons from earthquakes
Earthquake insurers currently can quickly identify ‘risk’ for a building street address by using probabilistic models based on 1) proximity to earthquake sources, 2) likelihood of earthquake… Expand