Zhiyi WANG
4
Documents
Présentation
PhD candidate in the seismic risk assessment of nuclear power plants and the reliability of its critical infrustructures, more specifically, computation of seismic fragility curves with more efficient methods. It concerns the construction of a proper response surface to accelerate the response calculation. Bayesian update should be later taken into consideration to integrate information from expert judgment and test results.
**Education background:**
2015 - present Ecole Centrale Paris/EDF R&D AMA PhD candidate
2013 - 2015 Technical University of Munich MSc. Computational Mechanics
2010 - 2013 Ecole Polytechnique Diplôme d'ingénieur in Solid Mechanics
2006 - 2010 Shanghai Jiaotong University Bachelor in Mechanical Engineering
Publications
|
Seismic fragility analysis with artificial neural networks: Application to nuclear power plant equipmentEngineering Structures, 2018, 162, pp.213-225. ⟨10.1016/j.engstruct.2018.02.024⟩
Article dans une revue
hal-01716961v1
|
|
A Bayesian framework for estimating fragility curves based on seismic damage data and numerical simulations by adaptive neural networksNuclear Engineering and Design, 2018, 338, pp.232-246. ⟨10.1016/j.nucengdes.2018.08.016⟩
Article dans une revue
hal-01988948v1
|
Adaptive Artificial Neural Networks for Seismic Fragility AnalysisICSRS2017, Dec 2017, Milano, Italy
Communication dans un congrès
hal-01787914v1
|
|
|
Computation of Seismic Fragility Curves Using Artificial Neural Network Metamodels12th International Conference on Structural Safety and Reliability (ICOSSAR 2017), Aug 2017, Vienne, Austria. pp.1525-1534
Communication dans un congrès
hal-01716960v1
|