June 1-3, 2015 in Dolní Morava, Czech Republic

Conference for numerical simulation

Jun 6-8, 2016 in Würzburg

Conference for technical aspects in the design and use of modern connectors

Jun 7-8, 2016 in Munich

Computer-aided engineering conference in the automotive industry.

Jun 12-15, 2016 in Linz

Challenges in Forming High-Strength Sheets

Jun 6, 2016 in Winterthur

Conference for numerical simulation


Library RDO Journal Weimar Optimization and Stochastic Days Newsletter Quarter 2_2016 Dynardo...

Dynardo GmbH is proud to announce that Dynardo’s optiSLang, leading edge software for CAE-based...

Release note optiSLang 5.0.0 more information about optiSLang 5 more information about optiSLang...



Jun 6-8, 2016 in Weimar

Jun 9 in Vienna
Aug 10, 2016 in Lein.-Echt.
Sep 7, 2016 in Renens
Nov 16, 2016 in Berlin
Nov 22, 2016 in Aadorf

Jun 22 in Hanover
Sep 30, 2016 in Lein.-Echt.
Dec 9, 2016 in Grafing

Aug 12, 2016 in Lein.-Echt.
Nov 18, 2016 in Berlin
Nov 24, 2016 in Aadorf

Training: Statistics on Structures - SoS

Statistics on Structures (SoS) is a tool for visualization, analysis and assessment of spatially random properties of structures as well as the analysis of the nonlinear correlations between the inputs and the results of a simulated system with random properties. The one-day seminar provides an overview of the theoretical background of random fields. The possibilities of SoS to analyse spatially random properties of structures are demonstrated and trained with the help of practical examples.

Engineering structures or parts are naturally subject to random scatter: manufacturing tolerances cause random structural properties, random loads cause scatter of stresses and strains. Typically, such scatter cannot be characterized by single parameters, but it is rather spatially distributed on the structure. Analysis of the spatial characteristics of scatter and of the statistical relations of the spatial distribution to the random input parameters gives important insight to the robustness of the structure and enables the proof of product quality and fulfillment of code requirements within the product development process.


Postprocessing in SoS 3
Postprocessing in SoS 3
  • Basic stochastic: random variables and vectors, correlation, covariance
  • Random fields: definitions, specific properties, discretization, decomposition and series expansion, simulation
  • SoS 3: data organization, GUI, visualization
  • SoS training project: sheet metal forming
  • Analysis of spatially scattered data:
    descriptive statistics, hot spots, eroded elements (cracks)
  • Random field scatter shapes, analysis of input / output correlations by optiSLang / MOP

Basic knowledge on statistics and robustness assessment is recommended to the participants, as, e.g. obtained by our seminar “Robust Design and Reliability Analysis”.


Instructor Weimar:
Dr.-Ing. Veit Bayer

Instructor Vienna:
Dipl.-Ing. Dr. techn. Sebastian Wolff


1 Day seminar from 9am-5pm

min. 5 to max. 8 participants

500 Euro (excluding VAT)

50% for students
30% for university members / PHD's

We recommend the following hotels with special conditions for your stay in Weimar:
To hotel information