De-Cheng Feng 
- (2024): Investigation on multi-directional free-standing-object-structure interactions in mega-sub-control suspended buildings with tuning features. In: Soil Dynamics and Earthquake Engineering, v. 178 (März 2024).
- (2016): Implicit Gradient Delocalization Method for Force-Based Frame Element. In: Journal of Structural Engineering (ASCE), v. 142, n. 2 (Februar 2016).
- (2023): Nonlinear static analysis of extreme structural behavior: Overcoming convergence issues via an unconditionally stable explicit dynamic approach. In: Structures, v. 49 (März 2023).
- (2023): A PDEM-based non-parametric seismic fragility assessment method for RC structures under non-stationary ground motions. In: Journal of Building Engineering, v. 63 (Januar 2023).
- (2022): Optimum weighted arithmetic means of peak- and spectral-based intensity measures for probabilistic seismic demand modeling of modularized suspended buildings. In: Bulletin of Earthquake Engineering, v. 20, n. 10 (27 Juni 2022).
- (2022): Investigation of 3D effects on dynamic progressive collapse resistance of RC structures considering slabs and infill walls. In: Journal of Building Engineering, v. 54 (August 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): Parametric investigation of the assembled bolt-connected buckling-restrained brace and performance evaluation of its application into structural retrofit. In: Journal of Building Engineering, v. 48 (Mai 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).
- (2022): Machine-learning interpretability techniques for seismic performance assessment of infrastructure systems. In: Engineering Structures, v. 250 (Januar 2022).
- (2021): Interpretable XGBoost-SHAP Machine-Learning Model for Shear Strength Prediction of Squat RC Walls. In: Journal of Structural Engineering (ASCE), v. 147, n. 11 (November 2021).
- (2021): Life-cycle seismic performance assessment of aging RC bridges considering multi-failure modes of bridge columns. In: Engineering Structures, v. 244 (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).
- (2021): Life-Cycle Performance Assessment of Aging Bridges Subjected to Tsunami Hazards. In: Journal of Bridge Engineering (ASCE), v. 26, n. 6 (Juni 2021).
- (2021): Implementing ensemble learning methods to predict the shear strength of RC deep beams with/without web reinforcements. In: Engineering Structures, v. 235 (Mai 2021).
- (2021): A machine learning-based time-dependent shear strength model for corroded reinforced concrete beams. In: Journal of Building Engineering, v. 36 (April 2021).
- (2020): Numerical Simulation and Parametric Analysis of Precast Concrete Beam-Slab Assembly Based on Layered Shell Elements. In: Buildings, v. 11, n. 1 (22 Dezember 2020).
- (2021): Framework for calculating seismic fragility function of urban road networks: A case study on Tangshan City, China. In: Structure and Infrastructure Engineering, v. 17, n. 11 (September 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).
- (2020): Near fault ground motion effects on seismic resilience of frame structures damaged in Wenchuan earthquake. In: Structure and Infrastructure Engineering, v. 16, n. 10 (Dezember 2020).
- (2020): Improved Displacement-Based Timoshenko Beam Element with Enhanced Strains. In: Journal of Structural Engineering (ASCE), v. 146, n. 3 (März 2020).
- (2020): Machine learning-based compressive strength prediction for concrete: An adaptive boosting approach. In: Construction and Building Materials, v. 230 (Januar 2020).
- (2019): Investigation of Modeling Strategies for Progressive Collapse Analysis of RC Frame Structures. In: Journal of Performance of Constructed Facilities (ASCE), v. 33, n. 6 (Dezember 2019).
- (2019): A New Family of Explicit Model-Based Integration Algorithms for Structural Dynamic Analysis. In: International Journal of Structural Stability and Dynamics, v. 19, n. 8 (August 2019).
- (2019): Probabilistic indicator to classify the failure mode of reinforced-concrete columns. In: Magazine of Concrete Research, v. 71, n. 14 (Juli 2019).
- (2017): A flexure-shear Timoshenko fiber beam element based on softened damage-plasticity model. In: Engineering Structures, v. 140 (Juni 2017).
- (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).
- (2018): Numerical Investigation on the Progressive Collapse Behavior of Precast Reinforced Concrete Frame Subassemblages. In: Journal of Performance of Constructed Facilities (ASCE), v. 32, n. 3 (Juni 2018).
- (2018): Finite element modelling approach for precast reinforced concrete beam-to-column connections under cyclic loading. In: Engineering Structures, v. 174 (November 2018).
- (2018): A new confined concrete model considering the strain gradient effect for RC columns under eccentric loading. In: Magazine of Concrete Research, v. 70, n. 23 (Dezember 2018).
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