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framework [2017/06/26 21:15]
admin
framework [2017/06/27 12:34]
admin
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 The PIPER software framework was developed to help with the positioning and the personalization of Human Body Models (HBM) for injury prediction to be used in road safety. These HBM are typically available in one size and one posture (which can be difficult or time consuming to change), and they are implemented in commercial explicit Finite Element (FE) codes such as Ld-Dyna3D (LSTC), Pamcrash (ESI), Radioss (Altair) or Abaqus. The PIPER software framework was developed to help with the positioning and the personalization of Human Body Models (HBM) for injury prediction to be used in road safety. These HBM are typically available in one size and one posture (which can be difficult or time consuming to change), and they are implemented in commercial explicit Finite Element (FE) codes such as Ld-Dyna3D (LSTC), Pamcrash (ESI), Radioss (Altair) or Abaqus.
  
-The framework aims to be modular, and model and code agnostic. More specifically, the idea is to be able to apply the same positioning, scaling or personalizing methodologies to several models in different codes, resulting in models that can be used in simulations with little or no correction. For this, the framework handles the import and export of the model, and model transformation methodologies are implemented in reusable modules. In order to facilitate the real time user interactions, the PIPER framework uses only use geometric or lightweight physics approaches for the modules transforming the FE model.+The framework aims to be modular, and model and code agnostic. More specifically, the idea is to be able to apply the same positioning, scaling or personalizing methodologies to several models in different codes, resulting in models that can be used in simulations with little or no correction. For this, the framework handles the import and export of the model, and model transformation methodologies are implemented in reusable modules. In order to facilitate the real time user interactions, the PIPER framework only uses geometric or lightweight physics approaches for the modules transforming the FE model.
  
 In practice, the import, export, and most modules developed up to now are included in a main application that also provides a GUI, a 3D display of the model and a Python scripting interface. As it is Open Source, the framework and application uses many other open source libraries. The framework can easily be extended by adding modules or through scripting. The software was developed as part of the PIPER European Project. In practice, the import, export, and most modules developed up to now are included in a main application that also provides a GUI, a 3D display of the model and a Python scripting interface. As it is Open Source, the framework and application uses many other open source libraries. The framework can easily be extended by adding modules or through scripting. The software was developed as part of the PIPER European Project.
  
-Several modules are already included in the sofware for scaling or positioning (see descriptions below).+Several modules are already included in the software (see descriptions below).
 The framework and all its modules were released under an Open Source License end of April 2017. The framework and all its modules were released under an Open Source License end of April 2017.
  
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   * a module to estimates anthropometric dimensions based on a set of predictors (Anthropometric Prediction Module) and three public anthropometric databases from children to elderly. A functionality to predict anthropometric dimensions directly using the GEBOD regression is also included.   * a module to estimates anthropometric dimensions based on a set of predictors (Anthropometric Prediction Module) and three public anthropometric databases from children to elderly. A functionality to predict anthropometric dimensions directly using the GEBOD regression is also included.
-  * the BodySection Module to build interactively correspondences between anthropometric dimensions and a HBM to prepare scaling. The module can also call all required modules to define the target and perform the transformation+  * the Scaling Constraints Module to interactively build correspondences between anthropometric dimensions and a HBM to prepare scaling. The module can also call all required modules to define the target and perform the transformation
   * a geometrical interpolation module to support model morphing (Kriging Module). The module integrates many numerical features useful within the context of HBM scaling (allows arbitrary number of control points, automatic control point decimation, weighting of the bone and skin, use of surface distance...)   * a geometrical interpolation module to support model morphing (Kriging Module). The module integrates many numerical features useful within the context of HBM scaling (allows arbitrary number of control points, automatic control point decimation, weighting of the bone and skin, use of surface distance...)
-  * a module (Scaling the PIPER child model by age) dedicated to the PIPER Child scaling with age, which allows generating easily models by selecting and age or stature started (based on the GEBOD regressions). The functionality to scale the material parameters with age is also included as an experimental feature.+  * a module (Scaling the PIPER child model by age) dedicated to the PIPER Child scalable model, which allows to generate models matching an age or stature (based on the GEBOD regressions). The functionality to scale the material parameters with age is also included as an experimental feature.
   * a Contour Deformation Module to transform the HBM using contour based approaches   * a Contour Deformation Module to transform the HBM using contour based approaches
  
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 Several options are then possible to transform the HBM using this pre-position as the target: Several options are then possible to transform the HBM using this pre-position as the target:
  
-  * the Physics-based Fine-Positioning Module : the pre-positioning motion can be repeated (using the constraints or the bone positions) with finer parameters for the simulation. While more time consuming (for the initialization in particular), it can provide a more plausible deformation of the flesh.+  * the Physics-based Fine-Positioning Module : the pre-positioning motion can be repeated (using the constraints or the bone positions) with finer parameters for the simulation. While more time consuming (for the initialisation in particular), it can provide a more plausible deformation of the flesh.
   * the Contour Deformation Module can be applied using the bony landmarks from the preposition as a target. It can also be used independently   * the Contour Deformation Module can be applied using the bony landmarks from the preposition as a target. It can also be used independently
-  * the pre-position can be used to generate a finite element simulation input (though a python script, an example being provided) and a full finite element simulation can be run.+  * the pre-position can be used to generate a finite element simulation input (through a python script, an example being provided) and a full finite element simulation can be run.
  
 In all cases, the use of the Transformation smoothing after positioning was found to greatly improve the results. In some cases (for smaller motion), the pre-position may be directly used and lead to a plausible and runnable model after smoothing. In all cases, the use of the Transformation smoothing after positioning was found to greatly improve the results. In some cases (for smaller motion), the pre-position may be directly used and lead to a plausible and runnable model after smoothing.
framework.txt ยท Last modified: 2020/10/09 16:29 (external edit)