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RD&D-Programme 2004 - SKB

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after the end of the delay time. Sorption of radionuclides to the internal parts of the canister is<br />

neglected.<br />

Conclusions in RD&D 2001 and its review<br />

SKI questions whether it is possible to obtain an improved understanding of the transport<br />

phenomena by using a simple analytical model.<br />

According to SKI, it is not clear whether <strong>SKB</strong> has improved the description of the transport and<br />

reaction processes included in Comp23.<br />

Newfound knowledge since RD&D 2001<br />

As a complement to and for evaluation of the near-field code used in SR 97, Comp23, an alternative<br />

code, Compulink, has been developed. This alternative code is based on the same conceptual<br />

model as Comp23 and includes the same processes; the two codes should therefore yield<br />

comparable results. Like the whole Proper package, Comp23 is written in Fortran 77, while<br />

the alternative code is written as an application that is run in a Matlab and Simulink environment.<br />

(Information on Matlab and Simulink is available on the Web at http://www.mathworks.<br />

com/). Matlab is a well-established commercial program that is used to solve various types<br />

of numerical problems. Matlab also contains a script language that makes it possible to write<br />

programs and/or applications where Matlab’s own commands are used. This makes it possible<br />

to change parameters, start simulations and save results, which in turn makes it possible to carry<br />

out probabilistic simulations based on random number distributions generated either directly in<br />

Matlab or by a free-standing program. Simulink is a program package that supplements Matlab<br />

and contains routines for carrying out simulations in a graphic environment, offering the possibility<br />

of easily combining different computation modules and thereby easily simulating complex<br />

models. We believe that Simulink’s graphic environment, in combination with Matlab’s built-in<br />

mathematical functions, make a model implementation in Compulink even more easily accessible<br />

and comprehensible for developers and reviewers than the existing Fortran 77 implementation<br />

in the Proper package. The lower learning threshold also allows access to a larger group of<br />

developers, making the development work less sensitive to changes in the development team. At<br />

present the Compulink application has been developed on a Windows PC, but since applications<br />

developed in Matlab and Simulink can be run on several platforms (Windows, Unix/Linux or<br />

Macintosh OS X), the porting work connected with platform changes is minimized. Near-field<br />

releases calculated with Compulink show good agreement with Comp23.<br />

Figure 18-2 shows releases from the near-field to the geosphere for a test case where an initial<br />

canister defect occurs after 6,500 years and a larger defect after 25,000 years. The agreement<br />

between the releases from the two codes is good for all nuclides. The computation time for<br />

the Compulink simulation on an office computer (1,700 MHz Pentium 4 and Windows XP<br />

operating system) is around one minute per realization, which makes the code suitable for<br />

probabilistic simulations too.<br />

<strong>Programme</strong><br />

The development of the Simulink-Matlab implementation of Compulink will continue during<br />

the coming period; among other things, the user interface must be improved so that selection of<br />

input data is simplified. Some of this work will be pursued in cooperation with the development<br />

of a new Matlab-Simulink-based code for biosphere simulations. The software development<br />

of Comp23 will, on the other hand, not continue at the same rate as before during the coming<br />

three-year period. The reason for this is not that development resources are being shifted from<br />

Comp23 to Compulink, but that the development need is not as great as before. There are<br />

however areas where refinements and implementations of models are possible. An example<br />

is models for fuel dissolution, where development of new models is taking place.<br />

RD&D-<strong>Programme</strong> <strong>2004</strong> 241

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