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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 />

Page 14

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