Jinpeng Feng
- (2024): Modal expansion-based deep learning framework for metamodeling vehicle-induced vibrations of bridges under vehicle fleets. In: Structures, v. 63 (May 2024).
- : Non-contact vehicle weight identification method based on explainable machine learning models and computer vision. In: Journal of Civil Structural Health Monitoring.
- (2023): Portable automatic detection system with infrared imaging for measuring steel wires corrosion damage. In: Automation in Construction, v. 156 (December 2023).
- (2023): Eccentric bearing capacity of steel reinforced reactive powder concrete columns after high temperature exposure. In: Case Studies in Construction Materials, v. 19 (December 2023).
- (2024): In-service performance assessment of fire-corrosion damaged cables of bridges. In: Engineering Structures, v. 300 (February 2024).
- (2023): A deep learning-based interferometric synthetic aperture radar framework for abnormal displacement deformation prediction of bridges. In: Advances in Structural Engineering, v. 26, n. 16 (October 2023).
- (2023): Mechanical properties of steel reinforced reactive powder concrete columns under axial compression. In: Case Studies in Construction Materials, v. 18 (July 2023).
- (2023): Time-dependent non-linear buckling of 3D CFST arch structures with hybrid random interval uncertainties. In: Engineering Structures, v. 279 (March 2023).
- (2023): Hydrothermal synthesis of a novel expanded vermiculite/xonotlite composite for thermal insulation. In: Construction and Building Materials, v. 367 (February 2023).
- (2022): A machine learning and game theory-based approach for predicting creep behavior of recycled aggregate concrete. In: Case Studies in Construction Materials, v. 17 (December 2022).
- (2022): Efficient creep prediction of recycled aggregate concrete via machine learning algorithms. In: Construction and Building Materials, v. 360 (December 2022).
- (2022): A novel humidity self-regulating interior wall coating composite based on red mud derived from alumina production. In: Construction and Building Materials, v. 349 (September 2022).
- (2022): Machine learning-based bridge cable damage detection under stochastic effects of corrosion and fire. In: Engineering Structures, v. 264 (August 2022).
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