MBSManager

The tailored, lean Software Solution for your complex requirements of MBS Simulation model & data management.

  • No expert MBS knowledge needed by user for setting up models and modifying parameters
  • Save MBS modeler tools license cost and your expensive multi body expert’s and analyst’s time
  • Conserve your simulation knowhow of the past to improve efficiency, productivity and quality
  • Simulation model & data management will be enabled for your existing multi body system environment, applicable to any general MBS solver (SIMPACK, Adams etc.)
  • The user provides the data to describe the mechanical system and the simulation environment/conditions via a professional desktop application GUI or by modifying the XML input files
  • Model & Parameter structures as well as the DB Schema design can all be defined and extended by the user using XSD-Files, the necessary GUI and DB modifications are done automatically
  • MBS submodel templates and parameter sets are referenced to assemble the simulation model on the fly
  • (Sub-) models assembly and simulation can be run as a background process
  • Any type of underlying existing MBS software and models can be utilized and adopted
  • Console/command line capability – define multiple sets of simulation definitions and setup/run batch jobs
  • All model, parameters and meta data can be organized in a versioned file database using SVN (a Version control system (VCS))
  • Version controlled item’s actions (changes submission, history information, etc.) integrated into the application GUI
  • Automatic file input error checking/patching: all input files containing data are in XML format, governed by corresponding XSD schemas – input file item structure is automatically adapted to schema definition changes
  • Parameters and simulation meta data storable to a relational database (MS SQL Server, Oracle, Microsoft Access, Firebird, PostgreSQL, MySQL, DB2 or SQLite), simplifying object storage / query / retrieval with minimal – if not zero – configuration
  • Simulation models and parameter set definitions easily queryable against stored meta data by drag&drop within application GUI from relational database

Use Case: BMW Motorsport – Vertical Car Dynamics Test Rig