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Real-time structural damage detection by convolutional neural networks
Certain embodiments may generally relate to structural damage detection. An embodiment may be directed to method for identifying a presence and a location of structural damage. Such method may include training a convolutional neural network (CNN) for a joint of a structure, sending instructions to a modal shaker to induce an input to the structure, receiving, as a result of the induced input, a raw acceleration signal at the joint, computing, based on the trained CNN and the raw acceleration signal, an index value of the joint, and identifying, according to the index value, a presence of a location of structural damage of the structure. In a further embodiment, the index value represents a likelihood of damage at the joint.
Real-time structural damage detection by convolutional neural networks
Certain embodiments may generally relate to structural damage detection. An embodiment may be directed to method for identifying a presence and a location of structural damage. Such method may include training a convolutional neural network (CNN) for a joint of a structure, sending instructions to a modal shaker to induce an input to the structure, receiving, as a result of the induced input, a raw acceleration signal at the joint, computing, based on the trained CNN and the raw acceleration signal, an index value of the joint, and identifying, according to the index value, a presence of a location of structural damage of the structure. In a further embodiment, the index value represents a likelihood of damage at the joint.
Real-time structural damage detection by convolutional neural networks
KIRANYAZ SERKAN (author) / AVCI ONUR (author) / ABDEL JABER OSAMA ABDEL QADER (author)
2023-04-18
Patent
Electronic Resource
English
IPC:
G01N
Untersuchen oder Analysieren von Stoffen durch Bestimmen ihrer chemischen oder physikalischen Eigenschaften
,
INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
/
E04B
Allgemeine Baukonstruktionen
,
GENERAL BUILDING CONSTRUCTIONS
/
G01M
TESTING STATIC OR DYNAMIC BALANCE OF MACHINES OR STRUCTURES
,
Prüfen der statischen oder dynamischen Massenverteilung rotierender Teile von Maschinen oder Konstruktionen
/
G06N
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
,
Rechnersysteme, basierend auf spezifischen Rechenmodellen
REAL-TIME STRUCTURAL DAMAGE DETECTION BY CONVOLUTIONAL NEURAL NETWORKS
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