Publications

Sanborn, Scott E.; Dingreville, Remi P.; Mariner, Paul M.; Sallaberry, Cedric J.; Eckert, Aubrey C.; Brooks, Dusty M.; Rudland, David R.; Harrington, Craig H.; Brust, Frederic B.; Kurth, Robert K.

Abstract not provided.

Bixler, Nathan E.; Osborn, Douglas M.; Weber, Scott W.; Sallaberry, Cedric J.; Eckert, Aubrey C.; Jones, Joseph A.; Ghosh, S.T.

Abstract not provided.

Sallaberry, Cedric J.; Brooks, Dusty M.; Lewis, John R.; Sanborn, Scott E.

Abstract not provided.

Sallaberry, Cedric J.; Helton, J.C.

Weak link (WL)/strong link (SL) systems are important parts of the overall operational design of high - consequence systems. In such designs, the SL system is very robust and is intended to permit operation of the entire system under, and only under, intended conditions. In contrast, the WL system is intended to fail in a predictable and irreversible manner under accident conditions and render the entire system inoperable before an accidental operation of the SL system. The likelihood that the WL system will fail to d eactivate the entire system before the SL system fails (i.e., degrades into a configuration that could allow an accidental operation of the entire system) is referred to as probability of loss of assured safety (PLOAS). This report describes the Fortran 90 program CPLOAS_2 that implements the following representations for PLOAS for situations in which both link physical properties and link failure properties are time - dependent: (i) failure of all SLs before failure of any WL, (ii) failure of any SL before f ailure of any WL, (iii) failure of all SLs before failure of all WLs, and (iv) failure of any SL before failure of all WLs. The effects of aleatory uncertainty and epistemic uncertainty in the definition and numerical evaluation of PLOAS can be included in the calculations performed by CPLOAS_2. Keywords: Aleatory uncertainty, CPLOAS_2, Epistemic uncertainty, Probability of loss of assured safety, Strong link, Uncertainty analysis, Weak link

Bryan, Charles R.; Sallaberry, Cedric J.; Dingreville, Remi P.; Stockman, C.T.; Adkins, Harold E.; Sutton, Mark S.

Abstract not provided.

Dingreville, Remi P.; Sanborn, Scott E.; Sallaberry, Cedric J.; Mariner, Paul M.; Eckert, Aubrey C.; Brooks, Dusty M.

Abstract not provided.

Sallaberry, Cedric J.

Abstract not provided.

Helton, J.C.; Hansen, Clifford H.; Sallaberry, Cedric J.

Abstract not provided.

Helton, J.C.; Sallaberry, Cedric J.; Storlie, Curtis S.

Abstract not provided.

Osborn, Douglas M.; Gauntt, Randall O.; Ross, Kyle R.; Mattie, Patrick D.; Sallaberry, Cedric J.; Bixler, Nathan E.; Jones, Joseph A.

Abstract not provided.

Sallaberry, Cedric J.; Helton, J.C.; MacKinnon, R.J.

Abstract not provided.

Eckert, Aubrey C.; Sallaberry, Cedric J.; Dallman, Ann R.; Neary, Vincent S.

Environmental contours describing extreme sea states are generated as the input for numerical or physical model simulation s as a part of the stand ard current practice for designing marine structure s to survive extreme sea states. Such environmental contours are characterized by combinations of significant wave height ( ) and energy period ( ) values calculated for a given recurrence interval using a set of data based on hindcast simulations or buoy observations over a sufficient period of record. The use of the inverse first - order reliability method (IFORM) i s standard design practice for generating environmental contours. In this paper, the traditional appli cation of the IFORM to generating environmental contours representing extreme sea states is described in detail and its merits and drawbacks are assessed. The application of additional methods for analyzing sea state data including the use of principal component analysis (PCA) to create an uncorrelated representation of the data under consideration is proposed. A reexamination of the components of the IFORM application to the problem at hand including the use of new distribution fitting techniques are shown to contribute to the development of more accurate a nd reasonable representations of extreme sea states for use in survivability analysis for marine struc tures. Keywords: In verse FORM, Principal Component Analysis , Environmental Contours, Extreme Sea State Characteri zation, Wave Energy Converters

Sevougian, Stephen D.; Helton, J.C.; Sallaberry, Cedric J.

Abstract not provided.

Sallaberry, Cedric J.

Abstract not provided.

Sallaberry, Cedric J.

Abstract not provided.

Sallaberry, Cedric J.

Abstract not provided.

Sallaberry, Cedric J.

Abstract not provided.

Sallaberry, Cedric J.

Abstract not provided.

Gauntt, Randall O.; Mattie, Patrick D.; Bixler, Nathan E.; Ross, Kyle R.; Cardoni, Jeffrey N.; Kalinich, Donald A.; Osborn, Douglas M.; Sallaberry, Cedric J.

This paper describes the knowledge advancements from the uncertainty analysis for the State-of- the-Art Reactor Consequence Analyses (SOARCA) unmitigated long-term station blackout accident scenario at the Peach Bottom Atomic Power Station. This work assessed key MELCOR and MELCOR Accident Consequence Code System, Version 2 (MACCS2) modeling uncertainties in an integrated fashion to quantify the relative importance of each uncertain input on potential accident progression, radiological releases, and off-site consequences. This quantitative uncertainty analysis provides measures of the effects on consequences, of each of the selected uncertain parameters both individually and in interaction with other parameters. The results measure the model response (e.g., variance in the output) to uncertainty in the selected input. Investigation into the important uncertain parameters in turn yields insights into important phenomena for accident progression and off-site consequences. This uncertainty analysis confirmed the known importance of some parameters, such as failure rate of the Safety Relief Valve in accident progression modeling and the dry deposition velocity in off-site consequence modeling. The analysis also revealed some new insights, such as dependent effect of cesium chemical form for different accident progressions. (auth)

Bixler, Nathan E.; Osborn, Douglas M.; Sallaberry, Cedric J.; Eckert, Aubrey C.; Mattie, Patrick D.

This paper describes the convergence of MELCOR Accident Consequence Code System, Version 2 (MACCS2) probabilistic results of offsite consequences for the uncertainty analysis of the State-of-the-Art Reactor Consequence Analyses (SOARCA) unmitigated long-term station blackout scenario at the Peach Bottom Atomic Power Station. The consequence metrics evaluated are individual latent-cancer fatality (LCF) risk and individual early fatality risk. Consequence results are presented as conditional risk (i.e., assuming the accident occurs, risk per event) to individuals of the public as a result of the accident. In order to verify convergence for this uncertainty analysis, as recommended by the Nuclear Regulatory Commission’s Advisory Committee on Reactor Safeguards, a ‘high’ source term from the original population of Monte Carlo runs has been selected to be used for: (1) a study of the distribution of consequence results stemming solely from epistemic uncertainty in the MACCS2 parameters (i.e., separating the effect from the source term uncertainty), and (2) a comparison between Simple Random Sampling (SRS) and Latin Hypercube Sampling (LHS) in order to validate the original results obtained with LHS. Three replicates (each using a different random seed) of size 1,000 each using LHS and another set of three replicates of size 1,000 using SRS are analyzed. The results show that the LCF risk results are well converged with either LHS or SRS sampling. The early fatality risk results are less well converged at radial distances beyond 2 miles, and this is expected due to the sparse data (predominance of “zero” results).

Reliability Engineering and System Safety

Hansen, C.W.; Behie, G.A.; Bier, A.; Brooks, K.M.; Chen, Y.; Helton, J.C.; Hommel, S.P.; Lee, K.P.; Lester, B.; Mattie, Patrick D.; Mehta, S.; Miller, S.P.; Sallaberry, Cedric J.; Sevougian, S.D.; Vo, P.

Extensive work has been carried out by the U.S. Department of Energy (DOE) in the development of a proposed geologic repository at Yucca Mountain (YM), Nevada, for the disposal of high-level radioactive waste. In support of this development and an associated license application to the U.S. Nuclear Regulatory Commission (NRC), the DOE completed an extensive performance assessment (PA) for the proposed YM repository in 2008. This presentation describes uncertainty and sensitivity analysis results for the early waste package failure scenario class and the early drip shield failure scenario class obtained in the 2008 YM PA. The following topics are addressed: (i) engineered barrier system conditions, (ii) release results for the engineered barrier system, unsaturated zone, and saturated zone, (iii) dose to the reasonably maximally exposed individual (RMEI) specified in the NRC regulations for the YM repository, and (iv) expected dose to the RMEI. The present article is part of a special issue of Reliability Engineering and System Safety devoted to the 2008 YM PA; additional articles in the issue describe other aspects of the 2008 YM PA. © 2013 Elsevier Ltd.

Reliability Engineering and System Safety

Helton, Jon C.; Pilch, Martin; Sallaberry, Cedric J.

Weak link (WL)/strong link (SL) systems are important parts of the overall operational design of high-consequence systems. In such designs, the SL system is very robust and is intended to permit operation of the entire system under, and only under, intended conditions. In contrast, the WL system is intended to fail in a predictable and irreversible manner under accident conditions and render the entire system inoperable before an accidental operation of the SL system. The likelihood that the WL system will fail to deactivate the entire system before the SL system fails (i.e., degrades into a configuration that could allow an accidental operation of the entire system) is referred to as probability of loss of assured safety (PLOAS). Representations for PLOAS for situations in which both link physical properties and link failure properties are time-dependent are derived and numerically evaluated for a variety of WL/SL configurations, including PLOAS defined by (i) failure of all SLs before failure of any WL, (ii) failure of any SL before failure of any WL, (iii) failure of all SLs before failure of all WLs, and (iv) failure of any SL before failure of all WLs. The indicated formal representations and associated numerical procedures for the evaluation of PLOAS are illustrated with example analyses involving (i) only aleatory uncertainty, (ii) aleatory uncertainty and epistemic uncertainty, and (iii) mixtures of aleatory uncertainty and epistemic uncertainty. © 2013 Elsevier Ltd.

Kraus, Terrence D.; Sallaberry, Cedric J.; Eckert, Aubrey C.; Brito, Roxanne B.; Hunt, Brian D.; Osborn, Douglas M.

A proposed method is considered to classify the regions in the close neighborhood of selected measurements according to the ratio of two radionuclides measured from either a radioactive plume or a deposited radionuclide mixture. The subsequent associated locations are then considered in the area of interest with a representative ratio class. This method allows for a more comprehensive and meaningful understanding of the data sampled following a radiological incident.

Mariner, Paul M.; Sallaberry, Cedric J.

Abstract not provided.

Sallaberry, Cedric J.

Abstract not provided.