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pro vyhledávání: '"Yang-Xia Peng"'
Autor:
Chuan-Sheng Wu, Man Ge, Ling-Ling Qi, De-Bing Zhuo, Jian-Qiang Zhang, Tian-Qi Hao, Yang-Xia Peng
Publikováno v:
Applied Sciences, Vol 13, Iss 6, p 3530 (2023)
Defects in different positions and degrees in pile foundations will affect the building structure’s safety and the foundation’s bearing capacity. The efficiency and accuracy of using traditional methods to identify multi-defect types of pile foun
Externí odkaz:
https://doaj.org/article/4019086f358d468e8ad74f813a06c5cb
Publikováno v:
Applied Sciences, Vol 12, Iss 20, p 10220 (2022)
In the field of structural health monitoring (SHM), with the mature development of artificial intelligence, deep learning-based structural damage identification techniques have attracted wide attention. In this paper, the convolutional neural network
Externí odkaz:
https://doaj.org/article/14aae412d9e24f8fa0bc00dac1a17681
Autor:
Chuan-Sheng Wu, Tian-Qi Hao, Ling-Ling Qi, De-Bing Zhuo, Zhen-Yang Feng, Jian-Qiang Zhang, Yang-Xia Peng
Publikováno v:
Applied Sciences, Vol 12, Iss 19, p 9840 (2022)
If the layer of soil surrounding a pile is not taken into account during the engineering detection process, the velocity-time curve might show asymptotic diameter shrinkage or diameter expanding features, which would alter the interpretation of the t
Externí odkaz:
https://doaj.org/article/5228c76c44d14c2aa24eeb50a5d5d6ad
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