FPoliSolutions | Solutions
page-template-default,page,page-id-20273,ajax_fade,page_not_loaded,,select-child-theme-ver-1.0.0,select-theme-ver-3.8.1,wpb-js-composer js-comp-ver-5.1.1,vc_responsive


Realistic Data-Informed Evaluation Models

Safety Analyses, Design Optimization & Robust Design:

  • A rigorous implementation of the Evaluation Model Development and Assessment Process (EMDAP) – Regulatory Guide 1.203 – is the basis of our projects
  • Support clients for licensing applications in the industry with extensive knowledge of regulatory requirements and compliance issues in the US and abroad
  • Support of Design Certification Applications (DCA) or Combined Operating License Applications for new plants consistent with regulatory requirements, the standard review plan (SRP – NUREG-0800) and combined license applications (Regulatory Guide 1.206)

  • Areas of expertise in Sections 4, 6, 9, 11, 12, 15 and 19 of the SRP (NUREG-0800)
  • Experience in resolution of emerging regulatory and industry issues such as Generic Safety Issues, 10 CFR 50.46c rulemaking, high burnup effects, etc.
  • Proficiency in integration issues among the various disciplines and analytical tools affecting the safety and operation of power plants, covering both core engineering and safety analysis aspects

Computer Code Development & Validation, Numerical Modeling
& Simulation of Fluid Systems

  • Development and assessment of computer system codes such as the COBRA, TRAC and RELAP code families and containment codes such as GOTHIC.
  • In-depth proficiency in solution algorithms for computer models, code stability and variability issues
  • Design of test specifications, scaling analysis, pre-test and post-test analyses

  • Data assessment of evaluation models and integration in robust Best-Estimate Plus Uncertainties methodologies
  • Development and integration of customized software modules into pre-existing software packages to extend their range of capabilities

Scaling Analyses

  • Experts in implementation of various scaling methodologies including Hierarchical Two-Tiered Scaling (H2TS) and Fractional Scaling Analysis (FSA)
  • Quantification of scaling distortions between the full scale design and various sub scale test facilities

  • Assessment of scaling distortions on computer code qualification and validation test matrix

Uncertainty and Sensitivity Analyses

  • Non parametric order statistics procedure for confidence intervals or tolerance limits
  • Computational Bayesian inference methods with Markov Chain Monte Carlo (MCMC)
  • Development and implementation of surrogates/meta-models to allow approximations of code response for UQ and global sensitivity analyses

  • Deterministic sensitivity approaches by building in computer codes either a forward sensitivity or adjoint sensitivity approach for local sensitivities of outputs to the various parameters
  • Development of procedures for translating UQ in probabilistic statements to satisfy design acceptance criteria (regulations, tolerances goals, etc.)