Related references
Note: Only part of the references are listed.
Article
Acoustics
Ruihua Liang et al.
Summary: This paper investigates the source and transmission characteristics of train-induced vibrations in metro depots through on-site measurements. The results show that train-induced vibrations are more significant on the testing lines and throat areas, indicating the need for more attention to the environmental vibrations near these areas.
JOURNAL OF VIBRATION AND CONTROL
(2023)
Article
Engineering, Civil
Xiangyu Qu et al.
Summary: This study investigates the variation of metro train velocity between different train passages using a 3D train-track numerical model. The results show that wheel unevenness, train speed, and passenger loading all have significant effects on rail velocity and tunnel wall vibration.
PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART F-JOURNAL OF RAIL AND RAPID TRANSIT
(2023)
Article
Construction & Building Technology
Hao Jin et al.
Summary: This paper investigates the dynamic characteristics of Crumb Rubber Concrete (CRC) tunnel invert-filling. By constructing specimen models and establishing a macroscopic model, the vibration acceleration and damping performance of CRC tunnel invert-filling with different rubber content were analyzed. The results show that CRC tunnel invert-filling can effectively attenuate vibration acceleration and, compared to 0% rubber content, 10% rubber content performs the best.
CONSTRUCTION AND BUILDING MATERIALS
(2022)
Article
Automation & Control Systems
Wei He et al.
Summary: This paper mainly discusses trajectory tracking and vibration suppression for a 3-D flexible wing. A control strategy involving two angles is proposed for trajectory tracking, while two active boundary controllers are suggested to suppress vibrations. Numerical simulations confirm the effectiveness of the proposed control schemes.
IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY
(2022)
Article
Construction & Building Technology
Ruihua Liang et al.
Summary: The rapid construction of roads and railways in cities has brought convenience to urban residents but also caused noise pollution. This paper proposes a deep learning-based method to identify traffic noise sources and evaluates noise pollution in Beijing. The study shows that lower floors of buildings are more affected by low-frequency structural noise from underground railways, while higher floors are more exposed to airborne noise caused by road traffic.
BUILDING AND ENVIRONMENT
(2022)
Article
Automation & Control Systems
Zhiji Han et al.
Summary: This article investigates the vibration and disturbance rejection problem of a wind turbine tower under external perturbations. The tower dynamics is described by a nonhomogeneous Euler-Bernoulli beam model, and the dissipativity of the system is achieved through a boundary feedback control solution. A Lyapunov-based stability analysis is conducted to demonstrate that the deflection of the tower remains uniformly bounded even in the presence of external disturbances. The extended Filippov framework and Galerkin approximation scheme are utilized to handle the existence of solutions to the system with a discontinuous control input. Simulation results show the effectiveness of the proposed control scheme.
IEEE TRANSACTIONS ON AUTOMATIC CONTROL
(2022)
Article
Acoustics
Weifeng Liu et al.
Summary: This paper presents a prediction strategy for ground-borne vibration based on transfer function experiment. By measuring the transfer characteristics of vibration and establishing a vehicle-track model, more accurate predictions can be obtained.
JOURNAL OF SOUND AND VIBRATION
(2022)
Article
Engineering, Multidisciplinary
Meng Ma et al.
Summary: The intensity of metro-induced vibrations in tunnels is influenced by the condition of train wheels, causing significant differences in vibration intensity between passing trains. Vibration responses in tunnels increase with the operating mileage of passing trains, but decrease after wheel re-profiling.
Article
Engineering, Geological
Lihui Xu et al.
Summary: This study investigates the dynamic responses of a multilayered half-space under a spatially periodic harmonic moving load using the direct stiffness method. The proposed method is verified and compared with existing literature to determine its accuracy and feasibility. Parametric analyses are conducted to examine the effects of different parameters on the dynamic responses.
SOIL DYNAMICS AND EARTHQUAKE ENGINEERING
(2022)
Article
Computer Science, Artificial Intelligence
Viet-Linh Tran et al.
Summary: This paper proposes an efficient approach using the finite element method and an Artificial Neural Network (ANN) to predict the ultimate moment of flush endplate connections at elevated temperatures. The developed ANN model accurately predicts the ultimate moment based on input variables such as endplate thickness, bolt pitch, and material properties. The proposed method shows great promise as a powerful design tool for steel connections at elevated temperatures.
EXPERT SYSTEMS WITH APPLICATIONS
(2022)
Article
Acoustics
Meng Ma et al.
Summary: The existing prediction model for environmental vibration only considered straight tunnel scenarios, but a new numerical model was proposed to predict the environmental vibration induced by trains running in a curved tunnel. Through field measurements and modeling, the study revealed the environmental impact of vibrations from a curved metro line beneath a building.
JOURNAL OF VIBRATION AND CONTROL
(2021)
Article
Mechanics
Kuo Tian et al.
Summary: This paper proposes a novel establishment method of the variable-fidelity surrogate model driven by transfer learning for shell buckling prediction problems, aiming to achieve higher prediction accuracy. The TL-VFSM is constructed through two steps and verified by engineering examples for its effectiveness and efficiency.
COMPOSITE STRUCTURES
(2021)
Article
Acoustics
Ruihua Liang et al.
Summary: The model is based on Bayesian neural network to predict train-induced ground-borne vibration and quantify uncertainty through a probabilistic framework. It quantifies aleatoric uncertainty by assuming Gaussian noise on observation data and epistemic uncertainty by delivering posterior of fitting parameters. It provides accurate uncertainty estimation in addition to vibration prediction.
JOURNAL OF SOUND AND VIBRATION
(2021)
Article
Construction & Building Technology
Yun-Dam Ko et al.
Summary: This study successfully applies transfer learning to identify unknown building properties, achieving significant improvements in identifying wall U-value, HVAC efficiency, and lighting power density. The use of transfer learning enables the developed model to be reusable for another group of buildings, improving performance and reducing training time.
JOURNAL OF BUILDING PERFORMANCE SIMULATION
(2021)
Article
Energy & Fuels
Cheng Fan et al.
Article
Thermodynamics
Lei Fang et al.
ADVANCES IN MECHANICAL ENGINEERING
(2019)
Article
Acoustics
Longxiang Ma et al.
JOURNAL OF SOUND AND VIBRATION
(2019)
Article
Computer Science, Artificial Intelligence
G. Paneiro et al.
NEURAL COMPUTING & APPLICATIONS
(2018)
Article
Computer Science, Interdisciplinary Applications
Yuqing Gao et al.
COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING
(2018)
Article
Engineering, Geological
D. P. Connolly et al.
SOIL DYNAMICS AND EARTHQUAKE ENGINEERING
(2014)
Article
Engineering, Geological
D. P. Connolly et al.
SOIL DYNAMICS AND EARTHQUAKE ENGINEERING
(2014)
Article
Engineering, Mechanical
G. Kouroussis et al.
PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART C-JOURNAL OF MECHANICAL ENGINEERING SCIENCE
(2012)
Article
Computer Science, Artificial Intelligence
Sinno Jialin Pan et al.
IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING
(2010)
Article
Computer Science, Artificial Intelligence
A Jain et al.
PATTERN RECOGNITION
(2005)
