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Course paper / final thesis

Bayesain callibration of rail vehicles model

Starting date

31. August 2020

Duration of contract

bis 6 Monate

Type of employment

Full-time (part-time possible)

The Next Generation Train Project (NGT) bundles research activities in the field of rail vehicles at DLR. In this context, the fatigue design of railway vehicle structures is examined. By considering real operational loads, an optimal vehicle design with respect to weight reduction and safety shall be obtained. The enormous effort of testing shall be reduced by replacing tests with numerical simulations.

In order to guarantee that the simulation reproduces the real system behavior with sufficient precision, the models need to be calibrated and validated from measurement data. However, since test results vary due to uncertainties in applied loads and material parameters, a deterministic calibration giving one optimal parameter set is not appropriate. In order to consider the variability of the real system, the calibration process shall specify a-posterior probability distributions of the parameters, using an initial estimation and the measuring results. This approach is known as Bayesian calibration.

This master thesis aims to perform Bayesian model calibration via a model reduction technique.  For this purpose, a relevant component of the car body structure should be selected and modelled in detail. Experiments for the calibration and validation of the model shall be prepared and simulated.

Prospective Tasks

  • Familiarization with the fatigue simulation process and the Bayesian calibration
  • Planning and simulation of an experimental setup to calibrate the model parameters
  • Evaluation and documentation of the results

Your qualifications:

  • Python, computer programming
  • Affinity to numerical simulations, statistics and programing (Python)

Your benefits:

Look forward to a fulfilling job with an employer who appreciates your commitment and supports your personal and professional development. Our unique infrastructure offers you a working environment in which you have unparalled scope to develop your creative ideas and accomplish your professional objectives. Our human resources policy places great value on a healthy family and work-life-balance as well as equal opportunities for persons of all genders (m/f/non-binary). Individuals with disabilities will be given preferential consideration in the event their qualifications are equivalent to those of other candidates.

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Technical contact

Sönke Kraft
Institute of Vehicle Concepts

Phone: +49 711 6862-547

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Vacancy 51184

HR department Stuttgart

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DLR site Stuttgart

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DLR Institute of Vehicle Concepts

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