Shi-Zhi Chen
- (2025): Data-Driven Shear Capacity Prediction of Reinforced Concrete Deep Beams with an Uncertainty-Aware Model. In: ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering, v. 11, n. 1 (März 2025).
- (2024): Trustworthy machine learning-enhanced 3D concrete printing: Predicting bond strength and designing reinforcement embedment length. In: Automation in Construction, v. 168 (Dezember 2024).
- (2024): Language model enhanced surface chloride concentration determination for concrete within splash environment based on limited field records. In: Case Studies in Construction Materials, v. 20 (Juli 2024).
- (2023): Evaluation of Performance of Bridge Weigh-in-Motion Methods Considering Spatial Variability of Bridge Properties. In: ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering, v. 9, n. 4 (Dezember 2023).
- (2023): Embedding Prior Knowledge into Data-Driven Structural Performance Prediction to Extrapolate from Training Domains. In: Journal of Engineering Mechanics (ASCE), v. 149, n. 12 (Dezember 2023).
- (2023): Study on Data-Driven Identification Method of Hinge Joint Damage under Moving Vehicle Excitation. In: ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering, v. 9, n. 4 (Dezember 2023).
- (2023): Fully automatic operational modal analysis method based on statistical rule enhanced adaptive clustering method. In: Engineering Structures, v. 274 (Januar 2023).
- (2022): Data-driven prediction of FRP strengthened reinforced concrete beam capacity based on interpretable ensemble learning algorithms. In: Structures, v. 43 (September 2022).
- (2022): Probabilistic Machine-Learning Methods for Performance Prediction of Structure and Infrastructures through Natural Gradient Boosting. In: Journal of Structural Engineering (ASCE), v. 148, n. 8 (August 2022).
- (2022): Two-stage stochastic model updating method for highway bridges based on long-gauge strain sensing. In: Structures, v. 37 (März 2022).
- (2022): A probabilistic bond strength model for corroded reinforced concrete based on weighted averaging of non-fine-tuned machine learning models. In: Construction and Building Materials, v. 318 (Februar 2022).
- (2021): Concrete-to-concrete interface shear strength prediction based on explainable extreme gradient boosting approach. In: Construction and Building Materials, v. 308 (November 2021).
- (2021): Reliability-based vehicle weight limit determination for urban bridge network subjected to stochastic traffic flow considering vehicle-bridge coupling. In: Engineering Structures, v. 247 (November 2021).
- (2021): Development of data-driven prediction model for CFRP-steel bond strength by implementing ensemble learning algorithms. In: Construction and Building Materials, v. 303 (Oktober 2021).
- (2021): Ensemble learning based approach for FRP-concrete bond strength prediction. In: Construction and Building Materials, v. 302 (Oktober 2021).
- (2021): Probabilistic Model Based on Bayesian Model Averaging for Predicting the Plastic Hinge Lengths of Reinforced Concrete Columns. In: Journal of Engineering Mechanics (ASCE), v. 147, n. 10 (Oktober 2021).
- (2020): Multi-Cross-Reference Method for Highway-Bridge Damage Identification Based on Long-Gauge Fiber Bragg-Grating Sensors. In: Journal of Bridge Engineering (ASCE), v. 25, n. 6 (Juni 2020).
- (2019): Development of a bridge weigh-in-motion method considering the presence of multiple vehicles. In: Engineering Structures, v. 191 (Juli 2019).
- (2018): Prestressing force monitoring method for a box girder through distributed long-gauge FBG sensors. In: Smart Materials and Structures, v. 27, n. 1 (Januar 2018).
- (2017): Deflection monitoring for a box girder based on a modified conjugate beam method. In: Smart Materials and Structures, v. 26, n. 8 (August 2017).
- (2018): Development of a Bridge Weigh-in-Motion System Based on Long-Gauge Fiber Bragg Grating Sensors. In: Journal of Bridge Engineering (ASCE), v. 23, n. 9 (September 2018).
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