Results 171 to 180 of about 7,408,303 (251)
Some of the next articles are maybe not open access.
, 2021
Health monitoring of infrastructures is of utmost significance, as they play a vital role in transportation. Identifying damages at the onset is essential to ensure the structure’s health state.
H. Nick +3 more
semanticscholar +1 more source
Health monitoring of infrastructures is of utmost significance, as they play a vital role in transportation. Identifying damages at the onset is essential to ensure the structure’s health state.
H. Nick +3 more
semanticscholar +1 more source
A powerful Lichtenberg Optimization Algorithm: A damage identification case study
Engineering applications of artificial intelligence, 2021Optimization is an essential tool to minimize or maximize functions, obtaining optimal results on costs, mass, energy, gains, among others. Actual problems may be multimodal, nonlinear, and discontinuous and may not be minimized by classical analytical ...
J. L. J. Pereira +3 more
semanticscholar +1 more source
Damage identification of wind turbine blades with deep convolutional neural networks
Renewable Energy, 2021Online early detection of surface damages on blades is critical for the safety of wind turbines, which could avoid catastrophic failures, minimize downtime, and enhance the reliability of the system.
Jihong Guo +3 more
semanticscholar +1 more source
Measurement, 2021
Civil engineering structures inevitably suffer from nonstationary ambient excitations in practice, which make conventional damage identification methods relying on the stationary assumption ineffective.
Dan Li +5 more
semanticscholar +1 more source
Civil engineering structures inevitably suffer from nonstationary ambient excitations in practice, which make conventional damage identification methods relying on the stationary assumption ineffective.
Dan Li +5 more
semanticscholar +1 more source
Structural Dynamic Identification and Damage Detection
2022Dynamic methods are a powerful tool for studying the behaviour of existing structures and their health conditions. The practical application, however, often raises subtle questions related to the accuracy and completeness of experimental data, the complexity of the mechanical modelling and, ultimately, the inverse nature of the problems that leads to ...
Vestroni F., Morassi A.
openaire +2 more sources
MuDI: A Multilevel Damage Identification Platform
Civil-Comp Proceedings, 2014This paper present the ideas and methods that are behind the development of a multilevel damage identification platform (MuDI). The need to develop the platform is a consequence of the collaboration of some of the authors with the Italian Department of Civil Protection, that has a large project named Seismic Observatory of Structures, in which more ...
Acunzo G. +3 more
openaire +1 more source
Bolt damage identification based on orientation-aware center point estimation network
Structural Health Monitoring, 2021With the development of deep learning, object detection algorithms based on horizontal box are widely used in the field of damage identification. However, damages can be in any direction and position, and they are not necessarily horizontal or vertical ...
Yang Zhang, K. Yuen
semanticscholar +1 more source
A Damage Identification Procedure for Steel Truss
2020This paper addresses the problem of identifying structural damage affecting one element of a steel truss. The purpose is to detect damages in relation to their magnitude, location and extension. A planar model of a damaged steel truss is used to illustrate the procedure. The direct problem is addressed by FEM, proposing the local stiffness of a damaged
Crognale M. +3 more
openaire +2 more sources
Vibration–based structural damage identification
Philosophical Transactions of the Royal Society of London. Series A: Mathematical, Physical and Engineering Sciences, 2001Many aerospace, civil and mechanical systems continue to be used despite ageing and the associated potential for damage accumulation.
Farrar, Charles R. +2 more
openaire +2 more sources
Structural damage identification - A probabilistic approach
AIAA Journal, 1998A method is presented to improve the robustness of current damage detection methodologies. Measured statistical changes in natural frequencies and mode shapes along with a correlated analytical stochastic finite element model are used to assess the integrity of a structure.
Loukas Papadopoulos, Ephrahim Garcia
openaire +1 more source

