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Code Manual for CONTAIN 2.0 - Federation of American Scientists

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<strong>for</strong> the Sequoyah plant given in Chapter 15 includes DCH modeling that con<strong>for</strong>ms closely to the<br />

standard input prescription described in Section 13.3.2.2. In addition, a hardcopy listing <strong>of</strong> an input<br />

file that was used in the analysis <strong>of</strong> the Zion-geometry Integral Effects Test (lET) experiments<br />

[Al194] is given in Reference Was95.<br />

Some <strong>of</strong> the recommendations made in this section are to be viewed as suggestions only, since any<br />

given problem likely will have features that cannot be taken into account here. These features may<br />

well justi~ substantial departures from our recommendations. In addition, some <strong>of</strong> our<br />

recommendations are based upon our judgments concerning uncertain DCH-related phenomena<br />

about which knowledgeable investigators may reasonably be expected to disagree. As always in<br />

per<strong>for</strong>ming complex <strong>CONTAIN</strong> calculations, results should be examined carefully to ensure that the<br />

calculated behaviors are physically reasonable, and sensitivity studies are warranted in order to<br />

determine the extent to which the results <strong>of</strong> interest are sensitive to uncertain input parameters and<br />

uncertain modeling assumptions.<br />

There are two major parts to this presentation. The f~st is given in Section 13.3.2.2 and presents<br />

what is called the standardized input prescription <strong>for</strong> DCH analyses that was developed in Reference<br />

Wi195. This standardized input prescription does not include a prescription <strong>for</strong> use <strong>of</strong> the new RPV<br />

and cavity entrainment models, but it does provide guidance as to how to define debris source tables<br />

<strong>for</strong> simulating the RPV ejection and cavity entrainment processes. The second major part <strong>of</strong> this<br />

presentation describes use <strong>of</strong> the RPV and cavity models (Sections 13.3.2.3 and 13.3.2.4). Note that<br />

when these models are used, the standardized input prescription is still applicable except <strong>for</strong> those<br />

portions <strong>of</strong> the standard input that deal with setting up the debris sources. Users <strong>of</strong> the RPV and<br />

cavity entrainment models should be aware that experience with them to date has been very limited<br />

and that they can behave in complex ways; it is especially important to check the results to ensure<br />

reasonable behavior when using these models. It is recommended that users be familiar with the<br />

results <strong>of</strong> the assessment <strong>of</strong> these models that are described in Reference Wi195. Note also that this<br />

assessment concluded by recommending that these models should be used principally on a “friendly<br />

user” basis; i.e., used by analysts who are familiar with DCH phenomenology and who are willing<br />

to assume the responsibility <strong>of</strong> examining the results <strong>for</strong> possible unreasonable behavior.<br />

Perspectives Concerning Uncertainties. The discussion <strong>of</strong> DCH analysis that follows acknowledges<br />

that important modeling uncertainties exist <strong>for</strong> some <strong>of</strong> the phenomena involved in DCH. However,<br />

this fact does not mean that the DCH loads calculated by <strong>CONTAIN</strong> will normally be heavily<br />

affected by a large number <strong>of</strong> uncertainties, because the results in any given instance will commonly<br />

be insensitive to some <strong>of</strong> the uncertain phenomena. For example, there are important uncertainties<br />

in the models controlling debris trapping and transport, yet the <strong>CONTAIN</strong> predictions <strong>of</strong><br />

containment pressure rise (AP) and hydrogen production in the Zion- and Surry-geometry IET<br />

experiments were found to be quite insensitive to these uncertainties. ~i195] Typically, the results<br />

<strong>of</strong> a given analysis will be sensitive to, at most, a small number <strong>of</strong> uncertain parameters or modeling<br />

assumptions; however, the identity <strong>of</strong> the more important uncertainties can be different <strong>for</strong> different<br />

DCH scenarios.<br />

One example <strong>of</strong> this dependence upon scenario is that the dominant sensitivities maybe different<br />

<strong>for</strong> compartmentalized versus open containment geometries. Containment geometries me said to<br />

Rev O 13 23 6/30/97

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