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This presentation concerns the generation of material data using neural networks. On the basis of polyamide it is examined, if a standardised procedure can be used for the characterization of material performance against different ...

The repeated performance of structural analysis, e.g., within a reliability based optimization, for realworld problems require a high computational effort. Due to the complexity of the real-world investigations, which are based on ...

This paper presents new features of the optimization post processing tool D-SPEX. The features are explained by means of various examples. The visualization of meta-models has been developed to a point where it can be a valuable tool ...

This paper presents comparisons between two types of structural optimization methods currently available in the commercial program Genesis. The paper describes the traditional and established topology method and discusses the ...

Most engineering optimization problems have more than one objective. Often these objectives conflict such that no single solution can be considered optimum with respect to all objectives. Then, the optimum to this problem is a set of ...

This paper summarizes the development status of LS-OPT® Version 3.3 and focuses mainly on the following new features: (i) Radial Basis Function Networks, (ii) Multi-objective Optimization (MOO), (iii) Metamodel-based MOO, (iv) ...

Surviving the economic slowdown by increasing cost-saving technology: Don’t spend more; spend more effectively Today’s trends - more complex features, increased global competition, and more government regulations - increase ...

The main purpose of global sensitivity analysis is to identify the most significant model parameters affect- ing a specific model response. This helps engineers to improve the model understanding and provides valueable information to ...