An effective deep feedforward neural networks (DFNN) method for damage identification of truss structures using noisy incomplete modal data
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DOI: 10.1016/j.jobe.2020.101244
Abstract: Abstract Structural damage assessment is a challenging problem of study due to lack of information in data measurement and the difficulty of extracting noisy features from the structural responses. Therefore, this paper proposes an effective… read more here.
Keywords: dfnn method; method damage; modal data; truss ... See more keywords
A novel deep learning-based method for damage identification of smart building structures
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DOI: 10.1177/1475921718804132
Abstract: In the past few years, intelligent structural damage identification algorithms based on machine learning techniques have been developed and obtained considerable attentions worldwide, due to the advantages of reliable analysis and high efficiency. However, the… read more here.
Keywords: damage identification; method damage; learning based; identification ... See more keywords
A robust vision-based method for damage detection of underwater structures using image enhancement technique
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DOI: 10.1177/14759217251357260
Abstract: Underwater structures are highly susceptible to damage from various factors, such as corrosion, erosion, and scouring, which can significantly reduce their load-bearing capacity. Detecting structural damage in these environments is crucial. Computer vision technology has… read more here.
Keywords: damage detection; method damage; damage; vision ... See more keywords