Jianchun Li

Professor

University of Sydney

Australia

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Professor Jianchun Li is a faculty member at the University of Technology Sydney in Australia. His research areas include structural health monitoring, automated damage diagnosis in construction materials, and the application of deep learning techniques for infrastructure assessment. He has contributed significantly to the development of innovative methods for evaluating and controlling structural vibrations and damage localization. His recent publications highlight advancements in data fusion techniques and the correlation of laboratory findings with field performance in civil engineering.

Jianchun Li

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Articles (20)

A systematic review of data fusion techniques for optimized structural health monitoring

Transfer learning based bridge damage detection: Leveraging time-frequency features

Automated damage diagnosis of concrete jack arch beam using optimized deep stacked autoencoders and multi-sensor fusion

A quasi-active negative stiffness damper for structural vibration control under earthquakes

A quasi-active negative stiffness damper for structural vibration control under earthquakes

Correlating alkali-silica reaction (ASR) induced expansion from short-term laboratory testings to long-term field performance: A semi-empirical model

Damage localization and quantification of a truss bridge using PCA and convolutional neural network

Numerical investigation of the influence of casting techniques on fiber orientation distribution in ECC

Torsional capacity evaluation of RC beams using an improved bird swarm algorithm optimised 2D convolutional neural network

Predicting elastic modulus degradation of alkali silica reaction affected concrete using soft computing techniques: A comparative study

Numerical and experimental investigations of a thermal break composite façade mullion under four-point bending

Response Prediction to Walking-Induced Vibrations of a Long-Span Timber Floor

A new hybrid model for MR elastomer device and parameter identification based on improved FOA

A Steel-Concrete Composite Beam Element for Structural Damage Identification

Automated Health Condition Diagnosis of in situ Wood Utility Poles Using an Intelligent Non-Destructive Evaluation (NDE) Framework

Characterization of nonlinear viscoelasticity of magnetorheological grease under large oscillatory shear by using Fourier transform-Chebyshev analysis

Development of a four-parameter phenomenological model for the nonlinear viscoelastic behaviour of magnetorheological gels

Dynamic modelling and control of shear-mode rotational MR damper for mitigating hazard vibration of building structures

Experimental realisation of the real-time controlled smart magnetorheological elastomer seismic isolation system with shake table

Improved magnetic circuit analysis of a laminated magnetorheological elastomer device featuring both permanent magnets and electromagnets

Collaborators (5)

Andy Nguyen

Tommy Chan

Xinqun Zhu

Ulrike Dackermann

Shaoqi Li

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