Contact
Pfaffenwaldring 5a
D-70569 Stuttgart
Room: 2.35
2021
- Cheng K, Xiao S, Zhang X, Oladyshkin S, Nowak W. Resampling method for reliability-based design optimization based on thermodynamic integration and parallel tempering. Mechanical Systems and Signal Processing. 2021;156:107630.
2019
- Cheng K, Lu Z, Chaozhang K. Gradient-enhanced high dimensional model representation via Bayesian inference. Knowledge-Based Systems. 2019;
- Cheng K, Lu Z, Zhen Y. Multi-level multi-fidelity sparse polynomial chaos expansion based on Gaussian process regression. Computer Methods in Applied Mechanics and Engineering. 2019 Jun;349:360–77.
- Cheng K, Lu Z. Time-variant reliability analysis based on high dimensional model representation. Reliability Engineering & System Safety. 2019 Aug;188:310–9.
2018
- Cheng K, Lu Z. Adaptive sparse polynomial chaos expansions for global sensitivity analysis based on support vector regression. Computers & Structures. 2018 Jan;194:86–96.
- Cheng K, Lu Z. Sparse polynomial chaos expansion based on D-MORPH regression. Applied Mathematics and Computation. 2018 Apr;323:17–30.
2017
- Cheng K, Lu Z, Wei Y, Shi Y, Zhou Y. Mixed kernel support vector regression for global sensitivity analysis. Mechanical Systems and Signal Processing. 2017 Nov;96:201–14.
- Cheng K, Lu Z, Zhou Y, Shi Y, Wei Y. Global sensitivity analysis using support vector regression. Applied Mathematical Modelling. 2017 Sep;49:587–98.
07/2015 B.Sc. Engineering Mechanics, China University of Petroleum (China)
02/2018 M.Sc. Aircraft Design, School of Aeronautics, Northwestern Polytechnical
University (China)
03/2018-09/2019 PhD student, School of Aeronautics, Northwestern Polytechnical
University (China)
Since 09/2019 PhD student, Institute for Modelling Hydraulic and Environmental
Systems, University of Stuttgart
Surrogate model, Machine Learning, Uncertainty quantification