Licheng Zhou 
- : Data-driven time-variant reliability assessment of bridge girders based on deep learning. In: Mechanics of Advanced Materials and Structures.
- (2024): Unsupervised structural damage assessment method based on response correlations. In: Engineering Structures, v. 302 (March 2024).
- (2023): Temperature-induced response reconstruction for the dynamic reliability assessment of bridge girders. In: Structures, v. 58 (December 2023).
- (2023): Unsupervised anomaly detection for long-span bridges combining response forecasting by deep learning with Td-MPCA. In: Structures, v. 54 (August 2023).
- (2023): Reconstruction of long-term strain data for structural health monitoring with a hybrid deep-learning and autoregressive model considering thermal effects. In: Engineering Structures, v. 285 (June 2023).
- (2023): Reconstruction of structural long-term acceleration response based on BiLSTM networks. In: Engineering Structures, v. 285 (June 2023).
- (2023): Temperature-induced response reconstruction method based on DL-AR model and attention mechanism. In: Structures, v. 50 (April 2023).
- (2022): Reliability analysis of bridge girders based on regular vine Gaussian copula model and monitored data. In: Structures, v. 39 (May 2022).
- (2022): High fidelity 3D mesoscale modeling of concrete with ultrahigh volume fraction of irregular shaped aggregate. In: Composite Structures, v. 291 (July 2022).
- (2021): Mesoscale modeling of epoxy polymer concrete under tension or bending. In: Composite Structures, v. 256 (January 2021).
Structurae cooperates with
