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Multi-classifier information fusion in risk analysis
This paper develops a novel multi-classifier information fusion approach that integrates the
probabilistic support vector machine (SVM) and the improved Dempster-Shafer (DS) …
probabilistic support vector machine (SVM) and the improved Dempster-Shafer (DS) …
Structural health monitoring and assessment using wavelet packet energy spectrum
A novel methodology about structural health monitoring and assessment using the wavelet
packet energy spectrum is developed by analyzing the acceleration response signal, aiming …
packet energy spectrum is developed by analyzing the acceleration response signal, aiming …
Web-based platforms for landslide risk mitigation: the state of the art
Web-based platforms (WBPs) are online spaces where the user can interrogate and analyze
data series gathered in quasi-real time from monitoring network/s. These online tools are …
data series gathered in quasi-real time from monitoring network/s. These online tools are …
Mechanical behavior of secondary tunnel lining with longitudinal crack
G Xu, C He, Z Chen, C Liu, B Wang, Y Zou - Engineering Failure Analysis, 2020 - Elsevier
Concrete cracking is prone to occur in secondary linings during tunnel operation. In this
article, the Chongqing highway tunnels, China, was taken as an example to study this issue …
article, the Chongqing highway tunnels, China, was taken as an example to study this issue …
A Novel Method of Pure Output Modal Identification Based on Multivariate Variational Mode Decomposition
This paper proposes a novel parameterized frequency‐domain modal parameter
identification method, called direct modal variational mode decomposition (DMVMD), based …
identification method, called direct modal variational mode decomposition (DMVMD), based …
Deformation and mechanical characteristics of tunnel-slope systems with existing anti-slide piles under the replacement structure of pile-wall
X Tian, Z Song, W Huaizheng, Y Cheng… - … and Underground Space …, 2024 - Elsevier
The planning of mountain tunnels aims to avoid intersecting with landslide-prone areas.
However, it is often unavoidable for mountain tunnels to traverse sloped terrain, thereby …
However, it is often unavoidable for mountain tunnels to traverse sloped terrain, thereby …
[HTML][HTML] An integrated method for tunnel health monitoring data analysis and early warning: Savitzky–Golay smoothing and wavelet transform denoising processing
N Zhao, J Wei, Z Long, C Yang, J Bi, Z Wan, S Dong - Sensors, 2023 - mdpi.com
A tunnel health monitoring (THM) system ensures safe operations and effective
maintenance. However, how to effectively process and denoise several data collected by …
maintenance. However, how to effectively process and denoise several data collected by …
Soil–water interaction affecting a deep-seated landslide: From field monitoring to experimental analysis
Most deep-seated landslides are characterized by large volumes with deep shear surfaces.
They are sensitive to hydrological forcing, especially in climate change scenarios. This …
They are sensitive to hydrological forcing, especially in climate change scenarios. This …
Structural damage identification of composite rotors based on fully connected neural networks and convolutional neural networks
Damage identification of composite structures is a major ongoing challenge for a secure
operational life-cycle due to the complex, gradual damage behaviour of composite …
operational life-cycle due to the complex, gradual damage behaviour of composite …
[HTML][HTML] Structural health monitoring of underground structures in reclamation area using fiber bragg grating sensors
Z Liu, P Liu, C Zhou, Y Huang, L Zhang - Sensors, 2019 - mdpi.com
The long-term structural performance of underground structures in reclamation areas is very
sensitive to the vibrations caused by vehicles passing above the structures and …
sensitive to the vibrations caused by vehicles passing above the structures and …