Zhenghao Ding 
- : Substructural damage identification in a digital twin framework using heterogeneous response reconstruction. In: Advances in Structural Engineering.
- (2024): Post-earthquake repairability enhancement of BRBFs considering isotropic hardening with self-centering braces. In: Journal of Constructional Steel Research, v. 217 (Juni 2024).
- (2023): Automated damage diagnosis of concrete jack arch beam using optimized deep stacked autoencoders and multi-sensor fusion. In: Developments in the Built Environment, v. 14 (April 2023).
- (2023): Vibration-based FRP debonding detection using a Q-learning evolutionary algorithm. In: Engineering Structures, v. 275 (Januar 2023).
- (2022): Anomaly detection of sensor faults and extreme events based on support vector data description. In: Structural Control and Health Monitoring, v. 29, n. 10 (13 September 2022).
- (2022): Jaya-based long short-term memory neural network for structural damage identification with consideration of measurement uncertainties. In: International Journal of Structural Stability and Dynamics, v. 22, n. 14 (September 2022).
- (2022): Structural damage identification considering uncertainties based on a Jaya algorithm with a local pattern search strategy and L0.5 sparse regularization. In: Engineering Structures, v. 261 (Juni 2022).
- (2020): Non-probabilistic method to consider uncertainties in structural damage identification based on Hybrid Jaya and Tree Seeds Algorithm. In: Engineering Structures, v. 220 (Oktober 2020).
- (2020): Structural damage identification by sparse deep belief network using uncertain and limited data. In: Structural Control and Health Monitoring, v. 27, n. 5 (Mai 2020).
- (2019): Structural damage identification with uncertain modelling error and measurement noise by clustering based tree seeds algorithm. In: Engineering Structures, v. 185 (April 2019).
Structurae kooperiert mit
