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Parameter identification for a suction-dependent plasticity model
L. Simoni,
B. A. Schrefler
Research Institute
Houston Methodist
Research output
:
Contribution to journal
›
Article
›
peer-review
18
Scopus citations
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Dive into the research topics of 'Parameter identification for a suction-dependent plasticity model'. Together they form a unique fingerprint.
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Mathematics
Suction
100%
Parameter Identification
97%
Plasticity
87%
Dependent
51%
Natural Resources
40%
Elastoplasticity
34%
Exploitation
32%
Period of time
31%
Profit
29%
Model
25%
Gas
24%
Prediction
20%
Fluid
20%
Mathematical Model
19%
Earth & Environmental Sciences
suction
75%
plasticity
75%
profit
39%
gas reservoir
38%
natural resource
32%
parameter
26%
decision
24%
fluid
22%
laboratory
20%
prediction
19%
effect
9%
Engineering & Materials Science
Plasticity
72%
Identification (control systems)
68%
Natural resources
30%
Profitability
22%
Mathematical models
17%
Fluids
16%
Gases
14%
Chemistry
Plastic Property
90%
Gas
41%
Time
28%