Zhenkun Li 
- (2024): Footbridge damage detection using smartphone-recorded responses of micromobility and convolutional neural networks. In: Automation in Construction, v. 166 (Oktober 2024).
- (2024): Indirect Frequency Identification of Footbridges with Pedestrians Using the Contact-Point Response of Shared Scooters. In: Journal of Bridge Engineering (ASCE), v. 29, n. 6 (Juni 2024).
- (2023): Bridge frequency identification in city bus monitoring: A coherence-PPI algorithm. In: Engineering Structures, v. 296 (Dezember 2023).
- (2023): Bridge Frequency Scanning Using the Contact-Point Response of an Instrumented 3D Vehicle: Theory and Numerical Simulation. In: Structural Control and Health Monitoring, v. 2023 (Februar 2023).
- (2023): Indirect damage detection for bridges using sensing and temporarily parked vehicles. In: Engineering Structures, v. 291 (September 2023).
- (2023): Drive-by bridge damage detection using Mel-frequency cepstral coefficients and support vector machine. In: Structural Health Monitoring, v. 22, n. 5 (Februar 2023).
- (2023): Real-time drive-by bridge damage detection using deep auto-encoder. In: Structures, v. 47 (Januar 2023).
- (2022): Influence of the attenuation of subgrade elastic modulus caused by precipitation on ballasted track structure. In: Construction and Building Materials, v. 352 (Oktober 2022).
- (2022): Modelling energy dissipation and hysteresis of woven fabrics with large deformation under single loading-unloading cycle. In: Composite Structures, v. 279 (Januar 2022).
- (2019): Postbuckling analysis of bi-directional functionally graded imperfect beams based on a novel third-order shear deformation theory. In: Composite Structures, v. 209 (Februar 2019).
- (2020): Comparison of Nonlinear Analysis Algorithms for Two Typical Asphalt Pavement Analysis Programs. In: The Baltic Journal of Road and Bridge Engineering, v. 15, n. 4 (September 2020).
- (2020): Local mass addition and data fusion for structural damage identification using approximate models. In: International Journal of Structural Stability and Dynamics, v. 20, n. 11 (September 2020).
- (2020): Estimation of virtual masses for structural damage identification. In: Structural Control and Health Monitoring, v. 27, n. 8 (7 Juli 2020).
- (2017): Study on the creep and recovery behaviors of ferrofluids. In: Smart Materials and Structures, v. 26, n. 10 (Oktober 2017).
- (2016): A novel accelerometer based on the first kind of ferrofluid levitation principle. In: Smart Materials and Structures, v. 25, n. 9 (September 2016).
Structurae kooperiert mit
