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Significance of Robustness Evaluation in Crash Analysis
Technical Paper
2011-26-0017
ISSN: 0148-7191, e-ISSN: 2688-3627
Annotation ability available
Sector:
Event:
SIAT 2011
Language:
English
Abstract
In the automotive industry, crash analysis plays an important role in the virtual product development of the design of the car body. The minimization of weight and competing requirements from several load cases have to be adjusted as optimal as possible. Consequently, high safety limits cannot be kept while maintaining all requirements. Therefore, the assurance of robustness of the optimized design against unavoidable scatters of crash test constraints, production constraints and material constraints in preferably early stages of product development becomes more and more important. Therefore, numerical robustness analysis is recommended as method of stochastic analysis in virtual product development.
Robustness analysis is primarily carried out to determine the variation range of significant response variables and their evaluation by using definitions of system robustness due to the unavoidable scatter of design parameters. Robustness analysis of structural crash load cases has high demands for the methods of stochastic analysis, statistical measures of determination and correlation as well as the efficiency of post processing. Reasons for this are the complexity of modelling, long calculation times, high non-linearities and the influences of numerical noise.
In this paper using the application of crashworthiness of car under insurance load cases robustness analysis will be illustrated. Since the deterministic analysis couldn't imitate the realistic behaviour of the car in the virtual product development, robustness analysis is used for the numerical assurance of car bodies against scatters of material, sheet thickness and test constraints. The Stochastic and structural analyses are performed with the optiSLang, and LS-DYNA software packages.
Topic
Citation
Chittepu, K., "Significance of Robustness Evaluation in Crash Analysis," SAE Technical Paper 2011-26-0017, 2011, https://doi.org/10.4271/2011-26-0017.Also In
References
- Will, J Bucher, C “Robustness Analysis in Stochastic Structural Mechanics, Proceedings NAFEMS Seminar” Use of Stochastics in FEM Analyses May 2003 Wiesbaden
- Bucher, C “Basic Concepts for Robustness Evaluation Using Stochastic Analysis Proceedings EUROMECH colloquium, Efficient Methods of Robust Design and Optimization September 2007 London
- Will, J “State of the Art - Robustness in CAE-Based Virtual Prototyping Processes of Automotive Applications” Proceedings Optimization and Stochastic Davs 4.0 2007 Weimar, Germany
- Will, J J-St, Möller Bauer, E “Robustness Evaluations of the NVH Comfort Using Full Vehicle Models by Means of Stochastic Analysis” VDI-Berichte Nr.1846 2004 505 527
- Will, J Baldauf, H “Integration of Computational Robustness Evaluations in Virtual Dimensioning of Passive Passenger Safety at the BMW AG” VDI-Berichte Nr. 1976, Berechnung und Simulation im Fahrzeugbau 2006 851 873
- Will, J Menke, T Stühmeyer, A “Computational Robustness Evaluations of Forming Processes, Neuere Entwicklungen in der Blechumformung” 2006 9 10 Mai Stuttgart, Germany
- optiSLang - the Optimizing Structural Language, Version 3.0 DYNARDO Weimar 2008
- SoS - Statistics_on_Structure, Version 1.0 DYNARDO 2007 Weimar
- Will, J Stelzmann, U “Robustness Evaluation of Crashworthiness Simulation Results” Proceedings 6 th European LS-DYNA Users Conference Gothenburg, Sweden 2007 4.47 4.59
- Will, J Bucher, C “Statistical Measures for the CAE-based Robustness Evaluation” Proceedings Optimization and Stochastic Days 3.0 2006 Weimar, Germany
- Will, J et al. “Computation and Visualization of Statistical Measures on Finite Element Structures for Forming Simulations” Proceedings Optimization and Stochastic Days 2.0 2005 Weimar, Germany