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Zhouzhou Song

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Technische Universität Dortmund

Germany

Research Interests

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Professors in Germany

Recent Grants

Grant: Close

Humboldt Research Fellowship Programme for Postdocs

Open Date: 2024-01-01

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Articles (13)

Year:

2026

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2026

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2025

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2025

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2024

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2024

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2024

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2023

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2023

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2023

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2022

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2022

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2022

Collaborators (3)

Lukas Fritsch

Leibniz University Hannover

GERMANY

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Matthias Faes

Professor (full)

Technische Universität Dortmund

GERMANY

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Marcos Valdebenito

Chief Engineer

Technische Universität Dortmund

GERMANY

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Zhouzhou Song

Research Interests

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Recent Grants

Articles (13)

Active learning Kriging with functional dimension reduction for reliability analysis of stochastic dynamical systems

Bayesian model updating with controlled Gaussian process predictive uncertainty

Efficient forward and inverse uncertainty quantification for dynamical systems based on dimension reduction and Kriging surrogate modeling in functional space

Taking on the NASA and DNV Challenge 2025: Bayesian Calibration and Optimization Under Hybrid Uncertainty

A dimension reduction-based Kriging modeling method for high-dimensional time-variant uncertainty propagation and global sensitivity analysis

A concurrent design optimization framework for IMSFRP composite structures considering material and structural parameters simultaneously

An improved sufficient dimension reduction-based Kriging modeling method for high-dimensional evaluation-expensive problems

Hierarchical uncertainty quantification of hybrid (riveted/bonded) single lap aluminum-CFRP joints with structural multiscale characteristic

A two-stage Kriging estimation variance reduction method for efficient time-variant reliability-based design optimization

Effects of hygrothermal ageing and temperature on the mechanical behavior of aluminum-CFRP hybrid (riveted/bonded) joints

Effect of hygrothermal environment on the fatigue fracture mechanism of single lap Aluminum-CFRP hybrid (riveted/bonded) joints

An estimation variance reduction-guided adaptive Kriging method for efficient time-variant structural reliability analysis

A novel polynomial chaos expansion-based method for feedback-coupled multidisciplinary design optimization under metamodel uncertainty

Collaborators (3)

Lukas Fritsch

Matthias Faes

Marcos Valdebenito

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