Hai-Bin Huang
- : A Pre-Trained Deep Learning Model for Fast Online Prediction of Structural Seismic Responses. In: International Journal of Structural Stability and Dynamics.
- (2023): Subdomain principal component analysis for damage detection of structures subjected to changing environments. In: Engineering Structures, v. 288 (August 2023).
- (2022): Development of probabilistic FRP-to-concrete bond strength models for externally-bonded reinforcement on grooves: Bayesian approach. In: Construction and Building Materials, v. 350 (October 2022).
- (2016): Canonical correlation analysis based fault diagnosis method for structural monitoring sensor networks. In: Smart Structures and Systems, v. 17, n. 6 (June 2016).
- (2022): Sparse Bayesian Identification of Temperature-Displacement Model for Performance Assessment and Early Warning of Bridge Bearings. In: Journal of Structural Engineering (ASCE), v. 148, n. 6 (June 2022).
- (2022): Probabilistic models for predicting bond strength of externally bonded FRP-to-concrete joints based on Bayesian inference. In: Construction and Building Materials, v. 329 (April 2022).
- (2020): Anomaly Identification of Structural Health Monitoring Data Using Dynamic Independent Component Analysis. In: Journal of Computing in Civil Engineering, v. 34, n. 5 (September 2020).
- (2020): Strain-Based Performance Warning Method for Bridge Main Girders under Variable Operating Conditions. In: Journal of Bridge Engineering (ASCE), v. 25, n. 4 (April 2020).
- (2017): Bayesian Combination of Weighted Principal-Component Analysis for Diagnosing Sensor Faults in Structural Monitoring Systems. In: Journal of Engineering Mechanics (ASCE), v. 143, n. 9 (September 2017).
- (2018): New Representative Temperature for Performance Alarming of Bridge Expansion Joints through Temperature-Displacement Relationship. In: Journal of Bridge Engineering (ASCE), v. 23, n. 7 (July 2018).
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