Please use this identifier to cite or link to this item: https://hdl.handle.net/11681/11114
Title: Site characterization for probabilistic ground shock predictions
Authors: United States. Defense Nuclear Agency
Jackson, J. G. (John Guy)
Keywords: Dynamic in-situ compressibility tests
Site characterization
MX horizontal shelters
Soil compressibility
Nevada-Utah siting area
Vertical particle velocity
Probabilistic ground shock predictions
Vertical rattlespace
Shock waves
Explosion effects
Blast effects
Soil mechanics
Soil dynamics
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-82-8.
Description: Miscellaneous Paper
Abstract: The codes that are currently used to calculate explosive-produced ground shock environments are deterministic tools; i.e., their input parameters are specified as single- valued "representative" quantities. This procedure, which inherently assumes that the calculated ground shock output will be mean-valued "best estimates", is questionable since many of these input parameters (such as the earth material properties and the applied blast loading characteristics) are random variables. Thus the resulting state of stress and ground motion are also random variables, and the ground shock calculation problem should be treated probabilistically. A probabilistic methodology is described for determining the statistical distribution of vertical rattlespace required for MX multiple protective shelters sited within the alluvial valleys of central Nevada and eastern Utah. The approach involves (A.) identifying the critical ground motion parameters and the input quantities which dominate their calculation, (B.) conducting field and laboratory investigations to define the statistical variation of these quantities within the siting area, and (C.) performing ground motion calculations with a probabilistic wave propagation code. Calculations for the high-explosive Dynamic In-Situ Compressibility (DISC) tests conducted in Ralston Valley, Nevada, are used to illustrate the probabilistic methodology.
Rights: Approved for public release; distribution is unlimited.
URI: http://hdl.handle.net/11681/11114
Appears in Collections:Miscellaneous Paper

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