“…In addition, only limited temperature measurements as shown in Figure 6a, are available to quantify the unknown system properties, such as heat conduction, radiative-heat transfer and reactive-gas formation. [33][34][35][36] Problem inversion will extract unknown nuclear activity and transport parameters to assess the worst case temperatures in the storage vessel as shown in Figure 6a.…”
in Wiley InterScience (www.interscience.wiley.com).In distributed systems, transport phenomena coupled with chemical or metabolic reactions are functions of space. A computational method is outlined to acquire unknown system properties in distributed systems by problem inversion. Physical and chemical properties are estimated simultaneously. The finite-volume discretization method formulated in generalized curvilinear coordinates applied to inversion problem of arbitrarily complex geometries. The direct solution approach of the reacting transport problem through inexpensive acquisition of sensitivity information is presented. An inexact trust region method improves the convergence rate of the large-scale transport and kinetic inversion problem (TKIP). The case studies demonstrate a novel computational approach for quantifying unknown transport properties, as well as reaction or metabolic constants. Solutions to technological challenges is presented in computational fluid mechanics and biotransport using mathematical programming techniques for inversion of distributed systems.
“…In addition, only limited temperature measurements as shown in Figure 6a, are available to quantify the unknown system properties, such as heat conduction, radiative-heat transfer and reactive-gas formation. [33][34][35][36] Problem inversion will extract unknown nuclear activity and transport parameters to assess the worst case temperatures in the storage vessel as shown in Figure 6a.…”
in Wiley InterScience (www.interscience.wiley.com).In distributed systems, transport phenomena coupled with chemical or metabolic reactions are functions of space. A computational method is outlined to acquire unknown system properties in distributed systems by problem inversion. Physical and chemical properties are estimated simultaneously. The finite-volume discretization method formulated in generalized curvilinear coordinates applied to inversion problem of arbitrarily complex geometries. The direct solution approach of the reacting transport problem through inexpensive acquisition of sensitivity information is presented. An inexact trust region method improves the convergence rate of the large-scale transport and kinetic inversion problem (TKIP). The case studies demonstrate a novel computational approach for quantifying unknown transport properties, as well as reaction or metabolic constants. Solutions to technological challenges is presented in computational fluid mechanics and biotransport using mathematical programming techniques for inversion of distributed systems.
“…However, the container system must be able to withstand the transportation environment. Analysis indicates that under normal conditions of transport, the average gas temperature within the 3013 container could be as high as 211 °C, and plutonium metal temperatures might exceed 200 °C [Hensel 1998a[Hensel & 1998b.…”
Section: Normal Storage and Transportation Environmentmentioning
confidence: 99%
“…Therefore, the transportation value of 211°C was used for evaluation purposes. This value corresponds to a 3013 container packaged into a 9975 transportation container that is sitting in the sun in an air temperature of 100 °F [Hensel 1998b].…”
Section: Accident Conditions To Be Consideredmentioning
confidence: 99%
“…The 3013 container design easily meets most of the applicable requirements set forth at 10 CFR 71.43 and 71.51 for Type B packages The 3013 container, if loaded in accordance with DOE-STD-3013-2000, will retain its integrity at the temperatures it would experience under normal conditions of transport (NCT). Calculations performed at SRS [Hensel 1998b] provide a basis for asserting that a gas temperature of 211°C is the maximum that would be achieved in the situation in which the container sits in a 9975 transportation package in the sun for an indefinite time. The loading of the container is limited based on the pressures that might be attained under those conditions.…”
“…Pressure increases can occur due to gas generation from radiolysis of residual water in the container, from steam generation of the residual water at high temperatures, and from fill-gas expansion as the temperature increases. Two previous studies have been conducted to estimate temperatures in the plutonium oxide storage containers [2,3]. One severe limitation of these studies was the lack of information concerning the effective thermal conductivity of the PuO 2 packed-powder bed.…”
Radial temperature profiles of plutonium dioxide powder in a cylindrical vessel were measured over a pressure range of 0.055 to 334.4 kPa with two different fill gases, helium and argon. The powder provides a very uniform self-heating medium for analysis. A thermal conductivity model was developed for heat conduction in the fine ceramic powder. Most literature models make limiting assumptions about powder characteristics that do not hold for this material. Despite the powder particles' complex geometry, the proposed model correctly reproduces the powder temperature profiles over the wide pressure range for both fill gases.
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