Please use this identifier to cite or link to this item: https://hdl.handle.net/11681/46977
Title: Automation of a model for predicting soil moisture and soil strength (SMSP Model)
Authors: Smith, Margaret H.
Meyer, Marvin P.
Keywords: Electronic data processing--Soil mechanics
Soil moisture--Mathematical models
Shear strength of soils--Mathematical models
Mathematical models
Publisher: U.S. Army Engineer Waterways Experiment Station
Series/Report no.: Miscellaneous Paper (U.S. Army Engineer Waterways Experiment Station) ; no. M-73-1
Abstract: The soil moisture strength prediction (SMSP) model is a composite of the methods developed at the U. S. Army Engineer Waterways Experiment Station for predicting daily soil moisture contents and strengths (in terms of cone index and rating cone index) of soil layers at depths of 0-15 and 15-30 cm. Information required by the model includes soil moisture accretion and depletion relations, field maximum and minimum soil moisture contents, moisture content at start of prediction, soil dry density, soil moisture-strength relation, daily rainfall amounts, and minimum rainfall amount required for accretion. This information can be obtained from one or more of three sources: (a) directly from measurements at a specific location; (b) indirectly from estimated or averaged data derived from field measurements, literature, or empirical equations built into the model; or (c) indirectly from a surface composition group classification that closely follows the Unified Soil Classification System. The computer program for the model is written in Fortran IV conversational mode for use on a teletype connected to a Honeywell-GE (General Electric) 440 computer. Output data are stored in permanent files for use by other performance prediction models, for printing, or for input to plotting programs. The main text of the report includes a discussion of the structure, operation, use, limitations, and mathematics of the model. Appendixes A-G include detailed flow charts and listings of the computer program; listings, organization, and format of input data; examples of prediction runs and graphic displays of results; and procedures for converting output data to terms required by the airfield construction effort model.
Description: Miscellaneous Paper
Gov't Doc #: Miscellaneous Paper M-73-1
Rights: Approved for Public Release; Distribution is Unlimited
URI: https://hdl.handle.net/11681/46977
Appears in Collections:Miscellaneous Paper

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