MONK - A Monte Carlo program for nuclear criticality safety and reactor physics analyses

The Monte Carlo technique is the most accurate method of calculating the multiplication factor k-effective for systems containing fissile material . This is exploited in MONK by the provision of a powerful and flexible geometry modelling capability and a physically realistic account of neutron interactions.

ANSWERS has developed MONK as an easy to use tool that provides highly accurate analyses of criticality safety and reactor physics problems.

What can MONK be used for?

Users can benefit from using MONK for the design and operation of a wide range of nuclear facilities covering the whole fuel cycle, including:

  • Uranium Enrichment
  • Dissolution and Chemical Separation
  • Fuel Fabrication
  • Material Finishing and Storage
  • Transportation
  • Waste Treatment and Handling
  • Fuel Handling and Storage

A selection of applications of MONK are shown in the Applications Gallery.

Why do customers find MONK easy to use?

Learning to use MONK is straightforward - you don't need years of experience - which means reduced start-up costs and minimal earning time for new users and refresher time for occasional users.

MONK has an easy to use input syntax and is backed up by a comprehensive range of introductory and reference documentation, including an easy to follow User Guide which includes examples.

If you need assistance you can turn to our helpline.

Why are MONK Models easier to set up?

MONK has a versatile collection of freely-orientated solid bodies which are used to form complex components that can be easily combined into complete systems just as an engineer would assemble plant.

MONK has powerful and flexible hole geometries to enable modelling of features that are otherwise difficult or time consuming to model, therefore increasing productivity.

In addition the geometrical constructs of MONK have been especially tailored to criticality applications, so that the majority of plant items can be easily as well as accurately modelled. Approximations that are associated with other geometry modelling packages are eliminated with MONK giving increased confidence in the model to the user.

Standard components can be stored in a library to be used again and again thus reducing input preparation time and ensuring consistency across different models.

MONK shares the same geometry package as MCBEND and RANKERN.

How do I know my model is correct?

MONK is supported by a Visual Workshop which means that checking for geometry errors is quick and easy.

Why do MONK calculations converge quickly?

MONK estimates k-effective using a novel algorithm called superhistory tracking. By this means a stable calculation of the scored parameters is produced which is essentially free from sampling bias. Use of superhistory tracking means that MONK automatically concentrates on the most reactive part of the system, enabling users to accurately compute highly decoupled plant items.

What validation supports my calculation?

A central validation database supports the use of MONK and contains a wide range of experimental comparisons to give the user increased confidence in the code and nuclear data library. MONK output includes a system categorisation facility to enable supporting validation experiments to be easily identified for your problem.

What hardware is MONK available on?

MONK is available on most major workstations and PCs

Where do I find out more?

For a more detailed view have a look at a few technical papers.

For further information contact the ANSWERS Customer Support Team.

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