Cource

Clearance of Materials and Building Structures -  Advanced Level

This advanced course focuses on statistical models used in clearance processes when handling structural elements or large volymes of materials. We delve into the statistical clearance methods developed through the decommissioning projects of the Uranium milling and mining facillity Ranstad, m/s Sigyn, Old Hospital Karolinska, and NPP Ågesta. The course addresses effecient clearance of materials and building structures using statistical clearance methods.

Cource Objectivs

The aim of the course is to provide a basic understanding of which statistical models are effective in different contexts and how they can be combined with standard clearance measurements. The course includes numerous examples and exercises to equip participants with the tools needed to independently perform clearance using statistical approaches.

Target Audience

Professionals involved in planning large clearance projects and who might have taken some courses in statistics for example the MARSSIM course or worked with Bayesian statistics. 

Prerequisites

• Previously completed course on clearance
• University education at master's level or substansial experience in operational clearance

Course instructor

Jonatan Jiselmark

Content

• Regulations
  - Quick summary on the regulations for clearance 
• Clearance in operational and decommissioning contexts
• Risks and responsibilities in advanced clearance
• Strengths and weaknesses of different statistical approaches
  - Bayesian
  - MARSSIM
  - MCSOF
• SMARTSIM a combination of Bayes, MARSSIM and Measurements of items/packages
  - What should be measured directly and what can be cleared statistically
  - Choosing a statistical model
  - Applying Bayesian model for large materials 
  - Applying MARSSIM's statistical models for large materials
• Examples and exercises
  - Planning
  - Selecting detectors 
  - Nuclide vectors 
  - Measurement duration
  - Statistical evaluation

Language

English

Course duration

3 days

Cost per participants

2 000 EUR (ex. VAT)

Course Documentation

Presented material on paper and in electronic form (pdf)

What to Bring

Personal laptop