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Improving Virtual Durability Simulation with Neural Network Modeling Techniques
Technical Paper
2005-01-0483
ISSN: 0148-7191, e-ISSN: 2688-3627
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English
Abstract
Neural networks are flexible modeling tools that can be used in conjunction with multi-body dynamics models to better predict nonlinear behaviour of components. This paper focuses on a process that incorporates a neural network model of a nonlinear damping force into a single degree of freedom mass-spring-damper model. Software tools and their interaction are specified. The verification of this process is the focal point of this paper and is a necessary step before further correlation studies can be performed on more complex component representations.
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Citation
Johrendt, J., Frise, P., and Malik, M., "Improving Virtual Durability Simulation with Neural Network Modeling Techniques," SAE Technical Paper 2005-01-0483, 2005, https://doi.org/10.4271/2005-01-0483.Also In
References
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