A5006964417- Structural Engineering and Vibration Analysis
- Structural Health Monitoring Techniques
- Railway Engineering and Dynamics
- Rock Mechanics and Modeling
- Infrastructure Maintenance and Monitoring
- Geotechnical Engineering and Underground Structures
- Seismic Performance and Analysis
- Geotechnical Engineering and Analysis
- Geomechanics and Mining Engineering
- Geophysical Methods and Applications
- Seismic Waves and Analysis
- Microbial Applications in Construction Materials
- Landslides and related hazards
- Innovative concrete reinforcement materials
- Wind and Air Flow Studies
- Structural Behavior of Reinforced Concrete
- Civil and Structural Engineering Research
- Microstructure and mechanical properties
- Injury Epidemiology and Prevention
- Geoscience and Mining Technology
- Geotechnical and Geomechanical Engineering
- Advanced Surface Polishing Techniques
- Effects of Vibration on Health
- Fluid Dynamics and Vibration Analysis
- Dam Engineering and Safety
Zhengzhou University
2020-2024
Tongji University
2017-2019
Severe vibrations may occur on slender structures like footbridges and cantilever stands due to human-induced loads such as walking, jumping or bouncing. Currently, develop a load model for structural design, the main features, periodicity stationarity of experimental records, are artificially extracted then mathematically modeled. Different physical features have been included in different models, i.e. no unified exists individual activities. The recently emerged generative adversarial...
Modern slender structures such as long-span floors and cantilever stands are sensitive to jumping-induced vibrations. A conventional deterministic Fourier series model for the human jumping load may overestimate a structure's responses in resonance condition. This paper suggests power spectral density (PSD) function individual load, which was treated narrowband stationary stochastic process. Experiments were conducted on loads resulting 334 records from 73 subjects. Statistical analysis of...
Crowd walking is a common daily activity that can cause large vibrations on slender structures such as footbridges and long-span floors. Although modeling of crowd loads critical in structural response prediction, this type considered difficult due to the randomness pedestrian gaits, temporal-spatial variation procedures, technical difficulties experiments. The authors developed spectral model for walking. First, auto-power density (PSD) function an individual was adopted from previous...
Existing dynamic load factors (DLF) for crowd jumping loads are modeled by identifying the peaks and energies from corresponding Fourier amplitude spectrum, which may underestimate overestimate structural responses, respectively. Based on principle of equal this study herein develops an equivalent DLF, using frequency response function to weight integrate power spectral density (PSD) matrix loads. Firstly, massive PSD matrices different sizes metronome frequencies simulated a random field...
Crowd jumping loads are often simplified to a single-point excitation in the existing Fourier series-based models, most of which lack data support crowd experiments. A multi-point model for is herein developed, where two parameters, frequency, and time lag shift, selected quantify synchronization. After verification 3D motion capture technology, probability distributions frequency shift modeled based on experiment, trajectories reflective markers 48 test subjects were simultaneously recorded...
This paper reports a dataset that provides force time histories of various types human-induced loads, including walking, jumping, and bouncing activities guided by metronome or music. The contains 3,518 records collected from six experimental campaigns. Ground reaction forces test subjects were measured using high-precision plates for individuals small groups, the displacements certain body parts three-dimensional motion capture technology large crowds. All data converted to unified format...
Features of jumping loads are essentially high-dimensional random variables but have been simplistically modeled owing to the lack proper mathematical tools. Generative adversarial networks (GANs) in conjunction with deep learning technology adopted herein for modeling loads. Conditional GANs (CGANs) combined Wasserstein (WGANs) gradient penalty (WGANs-GP) impulse modeling, where a multi-layer perceptron and convolutional neural network employed discriminator generator, respectively. As...
The structural performance improvement of concrete members is by far a crucial theoretical issue for engineers, and the development modern smart composite materials makes it possible to gradually enhance durability design structure. In this study, six beams same size reinforcement ratio, proposed beam (SMA-GFRP-ECC) five comparative (RC, R-ECC, SS-ECC, GFRP-ECC, SMA-ECC), were designed tested under low-cycle unidirectional cyclic loading unloading conditions. energy dissipation capacity,...
In existing load models, the crowd bouncing is often simplified as a single‐point excitation; moreover, these models lack data support from experiments. Inspired by random field widely adopted in seismic ground motion fields, model for loads was established this research. The frequency, time lag, and amplitude of coherence function were modeled to quantify synchronization; an auto‐power spectral density (PSD) author’s previous study individual load. values parameters obtained based on...