J
James J. Sienicki
Researcher at Argonne National Laboratory
Publications - 78
Citations - 1183
James J. Sienicki is an academic researcher from Argonne National Laboratory. The author has contributed to research in topics: Brayton cycle & Natural circulation. The author has an hindex of 14, co-authored 77 publications receiving 1004 citations.
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Preliminary structural evaluations of the STAR-LM reactor vessel and the support design
TL;DR: In this paper, preliminary structural evaluations of the reactor vessel and support design of the STAR-LM (Secure, Transportable, Autonomous Reactor - Liquid Metal variant), which is a lead-cooled reactor, are carried out with respect to an elevated temperature design and seismic design.
Journal ArticleDOI
FASt TEst Reactor (FASTER) design overview
Florent Heidet,Christopher Grandy,T. Sumner,H. Belch,Acacia J. Brunett,Robert Hill,E. Hoffman,E. Jin,Walid Mohamed,Anton Moisseytsev,Stefano Passerini,James J. Sienicki,Richard B. Vilim,S. Hayes +13 more
Status of the MELTSPREAD-1 computer code for the analysis of transient spreading of core debris melts
TL;DR: A summary overview of models and correlations currently implemented in the code, code validation activities completed thus far, LWR spreading-related safety issues for which the code has been applied, and the status of documentation for the code is provided.
Journal ArticleDOI
Probabilistic Accident Analysis with Deterministic Codes Using Stochastically Variable Parameters
TL;DR: In this article, a methodology for dealing with various degrees of uncertainty or incoherence in these parameters is described, which can be easily implemented in a broad spectrum of accident analysis codes with similar benefits.
Proceedings ArticleDOI
Dynamic Control Analysis of the AFR-100 SMR SFR With a Supercritical CO2 Cycle and Dry Air Cooling: Part II — Plant Control Under Varying Ambient Conditions
TL;DR: In this article, the results of coupled control analysis of a sCO2 cycle for a 100 MWe sodium-cooled fast reactor under changing ambient air temperatures are presented, and the optimum plant operation modes are identified.