Evaluation of progressive damage in structures using tensor decomposition-based wavelet analysis
Effective monitoring and retrofitting of large-scale infrastructure subjected to natural hazards
such as strong wind, severe earthquakes or man-made excitation are critical to ensure …
such as strong wind, severe earthquakes or man-made excitation are critical to ensure …
基于最大熵方法的水下航行体结构动力响应概率建模
周春晓， 汪锐琼， 聂肇坤， 李刚， 曾岩 - 力学学报, 2018 - lxxb.cstam.org.cn
水下航行体结构承受的水动力外载荷具有显著的时空分布不确定性, 其引发的结构动力响应,
诸如结构最大内力, 最大内力发生时刻, 最大内力发生位置等也由此产生了不确定性; 同时 …
诸如结构最大内力, 最大内力发生时刻, 最大内力发生位置等也由此产生了不确定性; 同时 …
Transient response characteristics of a bolted flange connection structure with shear pin/cone
X Lu, Y Zeng, Y Chen, X Xie, Z Guan - Journal of Sound and Vibration, 2017 - Elsevier
Transient response characteristics of a bolted flange connection structure with shear
pin/cone under different types of load are studied by a simplified dynamical model with …
pin/cone under different types of load are studied by a simplified dynamical model with …
An ultrafast and robust structural damage identification framework enabled by an optimized extreme learning machine
X Wang, Y Zhao, Z Wang, N Hu - Mechanical Systems and Signal …, 2024 - Elsevier
Artificial intelligence (AI) has recently been implemented in structural health monitoring
(SHM) systems for damage detection and identification. However, existing AI methods often …
(SHM) systems for damage detection and identification. However, existing AI methods often …
Structural damage detection based on covariance of covariance matrix with general white noise excitation
Y Hui, SS Law, CJ Ku - Journal of Sound and Vibration, 2017 - Elsevier
Covariance of the auto/cross-covariance matrix based method is studied for the damage
identification of a structure with illustrations on its advantages and limitations. The original …
identification of a structure with illustrations on its advantages and limitations. The original …
Bayesian network-based modal frequency–multiple environmental factors pattern recognition for the Xinguang Bridge using long-term monitoring data
Modal frequency is an important indicator reflecting the health status of a structure.
Numerous investigations have shown that its fluctuations are related to the changing …
Numerous investigations have shown that its fluctuations are related to the changing …
Mitigation of fatigue damage and vibration severity of electric drivetrains by systematic selection of motion profiles
The offshore drilling industry is among the most demanding markets for electrical equipment.
Heave motion, irregular cyclic loads, harsh weather conditions, and vibrations are causing …
Heave motion, irregular cyclic loads, harsh weather conditions, and vibrations are causing …
Localization of damage using wireless sensor networks for tunnel health monitoring
A Zrelli, T Ezzedine - 2017 13th International Wireless …, 2017 - ieeexplore.ieee.org
Actually, safety and security of structural health monitoring “SHM” take an important area in
modern society. That's why, several researchers are interested in this topic. In this paper, we …
modern society. That's why, several researchers are interested in this topic. In this paper, we …
[PDF][PDF] Numerical study for evaluation of a vibration based damage index for effective damage detection
S Mehboob, QU Zaman Khan… - Bulletin of the Polish …, 2020 - psjd.icm.edu.pl
An improved damage detection index for a structural component is proposed, using
eigenvalues estimated by means of frequency domain decomposition (FDD) and mode …
eigenvalues estimated by means of frequency domain decomposition (FDD) and mode …
Damage Classification of a Three-Story Aluminum Building Model by Convolutional Neural Networks and the Effect of Scarce Accelerometers
Structural health monitoring (SHM) plays a crucial role in extending the service life of
engineering structures. Effective monitoring not only provides insights into the health and …
engineering structures. Effective monitoring not only provides insights into the health and …