Creep Predicting Model in Masonry Structure Utilizing Dynamic Neural Network
Article Properties
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DOI (url)
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Publication Date2010/05/01
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Journal
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Indian UGC (journal)
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Refrences6
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Citations12
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Abed
Refrences
| Title | Journal | Journal Categories | Citations | Publication Date |
|---|---|---|---|---|
Predicting long-term creep and shrinkage from short-term tests | Magazine of Concrete Research |
| 17 | 1978 |
Artificial neural networks for predicting creep with an example application to structural masonry | Canadian Journal of Civil Engineering |
| 14 | 2003 |
| Creep deformation of clay masonry structures: a parametric study | Canadian Journal of Civil Engineering |
| 1 | 1998 |
| 10.1007/BF02479335 | ||||
| 10.1007/BF02473857 |
Citations
| Title | Journal | Journal Categories | Citations | Publication Date |
|---|---|---|---|---|
| Machine learning-based analysis of historical towers | Engineering Structures |
| 1 | 2024 |
| Enhancing Concrete Creep Prediction With Deep Learning: A Soft-Sorted One-Dimensional CNN Approach | IEEE Access |
| 2023 | |
A novel application of transformer neural network (TNN) for estimating pan evaporation rate | Applied Water Science |
| 14 | 2022 |
Modelling monthly pan evaporation utilising Random Forest and deep learning algorithms | Scientific Reports |
| 21 | 2022 |
| Convolutional neural networks for predicting creep and shrinkage of concrete | Construction and Building Materials |
| 21 | 2021 |
Citations Analysis
The category
Technology: Engineering (General). Civil engineering (General) 6
is the most commonly referenced area in studies that cite this article. The first research to cite this article was titled Dynamic versus static artificial neural network model for masonry creep deformation and was published in 2013. The most recent citation comes from a 2024 study titled Machine learning-based analysis of historical towers. This article reached its peak citation in 2021, with 3 citations. It has been cited in 11 different journals, 36% of which are open access. Among related journals, the Scientific Reports cited this research the most, with 2 citations. The chart below illustrates the annual citation trends for this article.