Seepage Modeling with SEEP/W - GeoStudio 2007 version 7.22
Seepage Modeling with SEEP/W - GeoStudio 2007 version 7.22
Seepage Modeling with SEEP/W - GeoStudio 2007 version 7.22
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Chapter 2: Numerical <strong>Modeling</strong><br />
<strong>SEEP</strong>/W<br />
1.00E-04<br />
Conductivity<br />
1.00E-05<br />
1.00E-06<br />
1.00E-07<br />
1.00E-08<br />
1.00E-09<br />
Intense<br />
Rainfall<br />
Coarse<br />
Fine<br />
Low to Modest<br />
Rainfall<br />
1.00E-10<br />
1 10 100 1000<br />
Suction<br />
Figure 2-13 Conductivities under low and intense infiltration<br />
This is a critical lesson in modeling and the use of numerical models in particular. The key advantage of<br />
modeling, and in particular the use of computer modeling tools, is the capability it has to enhance<br />
engineering judgment, not the ability to enhance our predictive capabilities. While it is true that<br />
sophisticated computer tools greatly elevated our predictive capabilities relative to hand calculations,<br />
graphical techniques, and closed-form analytical solutions, still, prediction is not the most important<br />
advantage these modern tools provide. Numerical modeling is primarily about ‘process’ - not about<br />
prediction.<br />
“The attraction of ... modeling is that it combines the subtlety of human judgment <strong>with</strong> the power of the digital<br />
computer.” Anderson and Woessner (1992).<br />
2.5 How to model<br />
Numerical modeling involves more than just acquiring a software product. Running and using the<br />
software is an essential ingredient, but it is a small part of numerical modeling. This section talks about<br />
important concepts in numerical modeling and highlights important components in good modeling<br />
practice.<br />
Make a guess<br />
Generally, careful planning is involved when undertaking a site characterization or making measurements<br />
of observed behavior. The same careful planning is required for modeling. It is inappropriate to acquire a<br />
software product, input some parameters, obtain some results, and then decide what to do <strong>with</strong> the results<br />
or struggle to decide what the results mean. This approach usually leads to an unhappy experience and is<br />
often a meaningless exercise.<br />
Good modeling practice starts <strong>with</strong> some planning. If at all possible, you should form a mental picture of<br />
what you think the results will look like. Stated another way, we should make a rough guess at the<br />
solution before starting to use the software. Figure 2-14 shows a very quick hand sketch of a flow net. It<br />
is very rough, but it gives us an idea of what the solution should look like.<br />
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