Corpus ID: 215827722

A non-cooperative meta-modeling game for automated third-party calibrating, validating, and falsifying constitutive laws with parallelized adversarial attacks

@article{Wang2020ANM,
  title={A non-cooperative meta-modeling game for automated third-party calibrating, validating, and falsifying constitutive laws with parallelized adversarial attacks},
  author={Kun Wang and WaiChing Sun and Qiang Du},
  journal={ArXiv},
  year={2020},
  volume={abs/2004.09392}
}
  • Kun Wang, WaiChing Sun, Qiang Du
  • Published 2020
  • Computer Science, Engineering
  • ArXiv
  • The evaluation of constitutive models, especially for high-risk and high-regret engineering applications, requires efficient and rigorous third-party calibration, validation and falsification. While there are numerous efforts to develop paradigms and standard procedures to validate models, difficulties may arise due to the sequential, manual and often biased nature of the commonly adopted calibration and validation processes, thus slowing down data collections, hampering the progress towards… CONTINUE READING

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