Dishi Liu

发表

SURROGATE-BASED ROBUST AIRFOIL OPTIMIZATION CONSIDERING GEOMETRICAL UNCERTAINTIES

Stefan Görtz, Daigo Maruyama, Dishi Liu, 2016 .

Efficient quantification of geometric uncertainties using gradient-assisted surrogate models and Karhunen-Loeve expansion

Dishi Liu, Görtz Stefan, 2015 .

Surrogate and Reduced-Order Models for Use in Optimization, MDO and Robust Design

Stefan Görtz, Daigo Maruyama, Dishi Liu, 2016 .

FFT-based homogenisation accelerated by low-rank approximations

Dishi Liu, Hermann G. Matthies, Jaroslav Vondvrejc, 2019 .

Quantification of Airfoil Geometry-Induced Aerodynamic Uncertainties - Comparison of Approaches

Dishi Liu, Alexander Litvinenko, Volker Schulz, 2015, SIAM/ASA J. Uncertain. Quantification.

Surrogate-Based Robust Aerodynamic Shape Optimization of Airfoils Considering Geometric Uncertainties

Stefan Görtz, Daigo Maruyama, Dishi Liu, 2015 .

KRIGING IN TENSOR TRAIN DATA FORMAT

Dishi Liu, Alexander Litvinenko, Sergey Dolgov, 2019, Proceedings of the 3rd International Conference on Uncertainty Quantification in Computational Sciences and Engineering (UNCECOMP 2019).

Optimization Approaches for a Complex Dairy Farm Simulation Model

Dishi Liu, Jagannath Aryal, Don Kulasiri, 2008 .

Machine Learning for Aerodynamic Uncertainty Quantification

Dishi Liu, Stefan Görtz, Daigo Maruyama, 2020, ERCIM News.

Influence of reduced-order modelling of geometrical uncertainties on statistics

Stefan Görtz, Dishi Liu, 2014 .

Speeding up Kriging by Using Pivoted Cholesky Decomposition and Low-Rank Structures

Dishi Liu, Hermann G. Matthies, Ralf Zimmermann, 2016 .

To Be or Not to Be Intrusive? The Solution of Parametric and Stochastic Equations - the "Plain Vanilla" Galerkin Case

Dishi Liu, Hermann G. Matthies, Alexander Litvinenko, 2013, SIAM J. Sci. Comput..

Robust Design Measures for Airfoil Shape Optimization

Stefan Görtz, Daigo Maruyama, Dishi Liu, 2019 .

To Be or Not to be Intrusive? The Solution of Parametric and Stochastic Equations - Proper Generalized Decomposition

Dishi Liu, Hermann G. Matthies, Anthony Nouy, 2014, SIAM J. Sci. Comput..

General Introduction to Surrogate Model-Based Approaches to UQ

Stefan Görtz, Daigo Maruyama, Dishi Liu, 2018, Uncertainty Management for Robust Industrial Design in Aeronautics.

Pivoted Cholesky decomposition by Cross Approximation for efficient solution of kernel systems pdf

Dishi Liu, Hermann G. Matthies, H. Matthies, 2015, ArXiv.

Uncertainty quantification with shallow water equations

Dishi Liu, Dishi Liu, 2009 .

Efficient Quantification of Aerodynamic Uncertainty due to Random Geometry Perturbations

Stefan Görtz, Dishi Liu, S. Görtz, 2014 .

AN EFFICIENT AERODYNAMIC SHAPE OPTIMIZATION FRAMEWORK FOR ROBUST DESIGN OF AIRFOILS USING SURROGATE MODELS

Stefan Görtz, Daigo Maruyama, Dishi Liu, 2016 .