Welcome to the Homepage of INTES GmbH, Stuttgart

If this webpage is presented to you in a simple layout, you are probably using an old browser (e.g. Netscape 4.78) without sufficient CSS-support. In order to be able to utilize this website in full extent, please use a modern browser.


Cookies are small text files that are placed on your computer by websites that you visit. They are widely used in order to make websites work, or work more efficiently, as well as to provide information to the owners of the site. This website makes use of cookies to monitor visitor sessions. No personal information is stored in the cookie that is issued by the site. The value stored in the cookie is an anonymous identifier, which is not linked to any other personal information you may give us during your visit. If you do not wish to receive these cookies you can disable them in your browser, though doing so may affect the functionality of our website. Most web browsers allow some control of cookies through the browser settings. To find out more about cookies, including how to see what cookies have been set and how to manage and delete them, visit www.allaboutcookies.org (opens in a new window).

PERMAS-OPT Design Optimization

Optimum bolt positions to achieve identical bolt forces

Beside the pure FE modeling, PERMAS also allows the definition of a design model and its automatic optimization as fully integrated functionality designed for large and complex problems.

The following design variables are provided:

  • areas of cross section, inertia moments and general functions between these properties e.g. for beam elements,
  • all parameters of standard beam cross sections,
  • thicknesses/offsets/nonstructural mass of membrane and shell elements,
  • stiffness and mass of spring elements,
  • mass of mass elements,
  • damping parameter of damping elements,
  • parameters of control elements,
  • convection film coefficients,
  • material parameters.
Parametric shape optimization:
  • node coordinates for shape optimization,
  • use of incompatible meshes (for positioning) without remeshing,
  • use of design elements,
  • bead design.
Freeform optimization(Non-parametric/free-shape optimization):
  • Thickness change on surfaces with complex geometry,
  • For stress homogenization under weight constraints or for weight optimization under stress limits,
  • Combination with parametric constraints like static or dynamic displacement limits,
  • Release directions may also be spcified as constraint.
Design variable linking E.g. for symmetry conditions or cyclic repetitions

The objective function of an optimization may be the weight or any other specified constraint. Multi objective optimization is possible, too.

Parametric Shape Optimization
Parametric shape optimization of spokes to survive wheel impact test

Dependent nodes are also allowed for shape modifications. This allows the use of incompatible meshes to realize larger modifications without the need to remesh a structure.

The following analysis types are available for design optimization:

With the aid of module AOS additional solvers are available for Optimization:

Bead design of a tank to maximze first eigenfrequencies

For frequency response optimization amplitudes, phases, real, and imaginary values of the above listed results are available for constraint or objective definition. The limits for the constraints can be made dependent on frequency.

Different solvers can be combined in one optimization task as well as sizing and shape parameters.

The design optimization allows taking into account several loading cases as well as different boundary conditions using the variant analysis. In addition, dynamic mode frequencies can also be optimized, where a mode tracking during the structural changes is performed automatically.

If a small part of a structure is optimized, substructuring can be used to reduce run time by separating the desgin space in the top component. So, the reduction of the unmodified parts has to be done only once.

Optimization results The results of an optimization are the history of the objective function and an overview on the validity of the design after each iteration. In addition, the values of the design variables and the constraints are available as a function of the iterations performed. These functions may easily be viewed as xy-plots. The export of sensitivities is also possible.

Moreover, element properties may be prepared for result processing (i.e. thickness distribution) and exported for post-processing.

The results of a shape optimization can be exported as displacements for post-processing with the original model or as new model with identical topology and modified coordinates.

Optimization for a robust design is achieved by additional reliability constraints. Then, the design fulfills all of the above mentioned constraints and it is also reliable regarding uncertain model parameters.