De‐Cheng Feng 
- : Bayesian model updating of super high‐rise building for construction simulation. In: The Structural Design of Tall and Special Buildings.
- : Prior knowledge‐infused neural network for efficient performance assessment of structures through few‐shot incremental learning. In: Computer-Aided Civil and Infrastructure Engineering.
- (2024): A full‐probabilistic cloud analysis for structural seismic fragility via decoupled M‐PDEM. In: Earthquake Engineering and Structural Dynamics, v. 53, n. 5 (Januar 2024).
- (2023): Feature selection of ground motion intensity measures for data‐driven surrogate modeling of structures. In: Earthquake Engineering and Structural Dynamics, v. 53, n. 3 (Dezember 2023).
- (2023): Three‐stage non‐Gaussian homogeneous random field representation over manifolds. In: Computer-Aided Civil and Infrastructure Engineering, v. 38, n. 11 (April 2023).
- (2022): Data‐driven rapid damage evaluation for life‐cycle seismic assessment of regional reinforced concrete bridges. In: Earthquake Engineering and Structural Dynamics, v. 51, n. 11 (September 2022).
- (2022): Multifidelity approach for data‐driven prediction models of structural behaviors with limited data. In: Computer-Aided Civil and Infrastructure Engineering, v. 37, n. 12 (September 2022).
- (2022): Random fields representation over manifolds via isometric feature mapping‐based dimension reduction. In: Computer-Aided Civil and Infrastructure Engineering, v. 37, n. 5 (14 März 2022).
- (2020): Cross‐level fragility analysis of modularized suspended buildings based on experimentally validated numerical models. In: The Structural Design of Tall and Special Buildings, v. 29, n. 14 (10 Oktober 2020).
- (2019): Numerical study of the static and dynamic characteristics of reinforced concrete cassette structures for high‐rise buildings. In: The Structural Design of Tall and Special Buildings, v. 28, n. 3 (25 Februar 2019).
Structurae kooperiert mit
