State of the art in structural health monitoring of offshore and marine structures
This paper deals with state of the art in structural health monitoring (SHM) methods in
offshore and marine structures. Most SHM methods have been developed for onshore …
offshore and marine structures. Most SHM methods have been developed for onshore …
Vision-based real-time structural vibration measurement through deep-learning-based detection and tracking methods
Structural vibration measurement is crucial in structural health monitoring and structural
laboratory tests. Traditional contact type sensors are usually required to be attached to the …
laboratory tests. Traditional contact type sensors are usually required to be attached to the …
Autonomous 3D vision‐based bolt loosening assessment using micro aerial vehicles
Earlier identification of bolt loosening is crucial to maintain structural integrity and prevent
system‐level collapse. In this study, a novel drone‐based 3D vision methodology has been …
system‐level collapse. In this study, a novel drone‐based 3D vision methodology has been …
Lost data neural semantic recovery framework for structural health monitoring based on deep learning
K Jiang, Q Han, X Du - Computer‐Aided Civil and Infrastructure …, 2022 - Wiley Online Library
Structural condition perception is a crucial step in structural health monitoring (SHM).
Random loss or corruption of sensing data seriously hinders the reliability of the monitoring …
Random loss or corruption of sensing data seriously hinders the reliability of the monitoring …
Modal analysis of offshore monopile wind turbine: An analytical solution
An analytical solution of the dynamic response of offshore wind turbines under wave load
with nonlinear Stokes's wave theory and wave–structure and soil–foundation interactions is …
with nonlinear Stokes's wave theory and wave–structure and soil–foundation interactions is …
[PDF][PDF] Towards probabilistic robust and sparsity-free compressive sampling in civil engineering: A review
H Zhang, S Xue, Y Huang, H Li - Int J Struct Stab Dyn, 2023 - researchgate.net
Compressive sampling (CS) is a novel signal processing paradigm whereby the data
compression is performed simultaneously with the sampling, by measuring some linear …
compression is performed simultaneously with the sampling, by measuring some linear …
A vision monitoring system for multipoint deflection of large‐span bridge based on camera networking
This paper proposes a vision monitoring system for multipoint deflection of a large‐span
bridge that can well compensate the camera motion–induced errors. The camera network …
bridge that can well compensate the camera motion–induced errors. The camera network …
Systemic reliability of bridge networks with mobile sensing‐based model updating for postevent transportation decisions
This paper proposes the upscaling of conventional individual bridge health monitoring
problems into urban regions and transportation networks via mobile and smart sensing …
problems into urban regions and transportation networks via mobile and smart sensing …
Intelligent monitoring and evaluation for the prefabricated construction schedule
X Yan, H Zhang, W Zhang - Computer‐Aided Civil and …, 2023 - Wiley Online Library
The prefabricated building construction (PBC) project is sensitive to uncertainties due to the
highly required coordination and interdependency among the installation activities, which …
highly required coordination and interdependency among the installation activities, which …
Estimating small structural motions from multi-view video measurement
The phase-based estimation, as one type of target-free methods, can estimate small
structural motions from video data. However, in the two-dimensional (2D) domain, this …
structural motions from video data. However, in the two-dimensional (2D) domain, this …