Hydro-Mechanical Properties of an Unsaturated Frictional Material

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CHAPTER 3. INTRODUCTION TO PROCESS MODELING - A STATISTICAL
APPROACH
No
Start
Selection of the model form
based on the experimental
results or prior model.
Is the
experimental
data sufficient?
Yes
Model fit using
parameter estimation.
Validation of model to asses
its adequacy.
Model is approriate for
fitting the experimental results.
Is the Model
approriate for fitting
the experimental
results?
Design of suitable
experiment.
Collection of
required data.
Figure 3.1: Flow chart giving the main steps for developing a process model
If the assumptions of the model seem to be valid the model can be used for the present prob-
lem. If the model validation identifies problems with the current model the modeling process
should be improved using the information from the model validation or a new model should
be developed. It also could be necessary to design new experimental setup to collect new data
and start new parameter estimation and model validation procedure.
3.2.1 Collection of Data for Model Building
Model building of a certain process requires the design of an appropriate experiment as well
as the data collection. Data also can be collected from literature.
No
Yes
End