Please use this identifier to cite or link to this item:
https://hdl.handle.net/11681/11029
Title: | Probabilistic soil sampling program for MX-related site characterization |
Authors: | Massachusetts Institute of Technology. Department of Civil Engineering. United States. Defense Nuclear Agency. Vanmarcke, Erik. |
Keywords: | Alluvial valley Probability theory Compressibility Soil mechanics Soil compression Ralston Valley Nevada Correlation Soil sampling MX missile system Statistical analysis Mathematical models Numerical models |
Publisher: | Structures Laboratory (U.S.) Engineer Research and Development Center (U.S.) |
Series/Report no.: | Miscellaneous paper (U.S. Army Engineer Waterways Experiment Station) ; SL-79-26. |
Description: | Miscellaneous Paper Abstract: The report outlines a methodology for characterizing the variability of geotechnical parameters within large areas with complex geology and for designing sampling and testing programs which maximize the probabilistic information that can be obtained within specified constraints on program time and cost. The methodology is focused on the problem of characterizing near-surface compressibility in alluvial valleys of the Basin and Range physiographic province. To illustrate the methodology, a specific sampling plan is designed for Ralston Valley, Nevada, aimed at defining the valley-wide variation in uniaxial strain (UX) compressibility to a depth of 160 feet, and providing information about the vertical and horizontal correlation structure and frequency content of this spatial variation. The plan is also designed to permit determining if statistically significant correlations exist between UX compressibility and more readily measured parameters, such as surficial geologic unit designations, seismic P-wave velocities, soil classifications and gradation curves, and in situ composition information (dry density, porosity, etc.). |
Rights: | Approved for public release; distribution is unlimited. |
URI: | http://hdl.handle.net/11681/11029 |
Appears in Collections: | Miscellaneous Paper |
Files in This Item:
File | Description | Size | Format | |
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MP-SL-79-26.pdf | 6.32 MB | Adobe PDF | ![]() View/Open |