- An intelligent structural damage detection approach based on self ...🔍
- Damage localization with Lamb waves using dense convolutional ...🔍
- Algorithm for Damage Detection in Wind Turbine Blades using a ...🔍
- Experimental study of thin film sensor networks for wind turbine ...🔍
- Strain field reconstruction and damage identification in masonry ...🔍
- Damage Detection and Damage Localization in Bridges with Low ...🔍
- STATISTICAL DAMAGE DETECTION AND LOCALIZA| TION WITH ...🔍
- Experimental Study of Thin Film Sensor Networks for Wind Turbine ...🔍
Damage Detection and Localization from Dense Network of Strain ...
of the construction material. By embedding these sensors inside the structure, it is possible to monitor the localized strain statistics. The recorded ...
Damage localization with Lamb waves using dense convolutional ...
In this paper, a dense convolutional sparse coding network (DCSCNet) is presented for Lamb wave-based damage localization in composite structures.
Algorithm for Damage Detection in Wind Turbine Blades using a ...
Here the authors propose a hybrid dense sensor network consisting of capacitive-based thin-film sensors for monitoring the additive strain over ...
Experimental study of thin film sensor networks for wind turbine ...
... detect, localize, and quantify damage ... F. Ubertini. , “. Damage Detection and Localization from Dense Network of Strain Sensors. ,”. Shock and ...
Strain field reconstruction and damage identification in masonry ...
Strain field reconstruction and damage identification in masonry walls under in-plane loading using dense sensor networks of smart bricks: Experiments and ...
Damage Detection and Damage Localization in Bridges with Low ...
This study aims to develop an algorithm that converts the recorded response from a low-density recording sensor array (e.g., horizontal acceleration of bridge ...
... damage detection and damage ... Ubertini, Damage detection and localization from dense network of strain sensors, Shock and Vibration 2016 (2016).
Experimental Study of Thin Film Sensor Networks for Wind Turbine ...
developed a strain sensing sheet for crack detection and localization, based on resistive ... Ubertini, "Damage Detection and Localization from Dense Network of.
Mechanics-Informed Autoencoder Enables Automated Detection ...
It leveraged the relationships between sensors based on their mechanical strain responses to enhance detection during early damage progression ...
Displacement and strain data-driven damage detection in multi ...
Keywords: Damage detection, Convolutional Neural Network, Composites, Finite Element. Analysis. 1 Introduction. Composite materials are widely used in the ...
Structural Damage Detection Using Convolutional Neural Networks ...
A convolutional neural network (CNN)-based structural damage detection (SDD) method using populations of structures and modal strain energy (MSE) is proposed.
Damage detection, localization and quantification in conductive ...
Downey et al. [9] proposed the use of a hybrid dense sensor network consisting of large-area strain-sensing capacitive- based sensors and RSGs ...
Deep neural networks for crack detection inside structures - PMC
They employed a two-layer neural network to extract the wave signature of two types of damage: delamination and impact damage. Golato et al.
Structural Damage Detection Using Convolutional Neural Networks
Completely unseen damage setups are introduced to the simulations while testing. Based on the findings of the proposed study, high accuracy, robustness and ...
Wireless sensor networks promise cheap and dense instrumentation for structural monitoring [2], [3]. Recent work has demonstrated the feasibility of ...
Damage Detection and Localization Methodology Based on Strain ...
By analyzing strain data collected from a network of sensors and comparing it to a baseline pristine condition, the methodology aims to identify ...
Damage localization and quantification of a truss bridge using PCA ...
and detection accuracy. Keywords: convolutional neural network (CNN); damage detection; normalized modal strain energy change; principal component analysis ...
Dynamic Reconstruction of In-plane Strain Maps using a Two ...
Damage detection and localization in large-scale systems requires the detection of local faults over a typically very large geometry. This can be done ...
Deep neural network for damage detection in Infante Dom Henrique ...
The classificatoin metrics also demonstrate the enhancement of combining both sources of data in the damage detection task, reaching close to 97 ...
Mechanics-Informed Autoencoder Enables Automated Detection ...
A support vector machine (SVM) was used to process sensor data and detect fatigue cracking in steel bridge structures [24] . Neural network- ...