Zobrazeno 1 - 10
of 47
pro vyhledávání: '"Jiangpeng Shu"'
Autor:
Jiangpeng Shu, Hongchuan Yu, Gaoyang Liu, Han Yang, Wei Guo, Chinyong Phoon, Strauss Alfred, Hao Hu
Publikováno v:
Case Studies in Construction Materials, Vol 20, Iss , Pp e03350- (2024)
Advanced machine learning (ML) models are utilized for accurate shear strength prediction of reinforced concrete beams (RCB), but their lack of interpretability makes it unclear how models make specific predictions, reducing their reliability and app
Externí odkaz:
https://doaj.org/article/1909bf81ce81486fa6afae6a76b880f3
Publikováno v:
Journal of Infrastructure Preservation and Resilience, Vol 4, Iss 1, Pp 1-14 (2023)
Abstract Compared with acceleration-based modal analysis, displacement can provide a more reliable and robust identification result for output-only modal analysis of long-span bridges. However, the estimated displacements from acceleration records ar
Externí odkaz:
https://doaj.org/article/4b7fc69de25046309862d0a4ace949a5
Publikováno v:
Buildings, Vol 14, Iss 4, p 983 (2024)
Component identification and depth estimation are important for detecting the integrity of post-disaster structures. However, traditional manual methods might be time-consuming, labor-intensive, and influenced by subjective judgments of inspectors. D
Externí odkaz:
https://doaj.org/article/dbe7b8dd47d5431092f61bf3066d4b11
Publikováno v:
Buildings, Vol 14, Iss 4, p 1144 (2024)
The safety condition assessment of prestressed concrete bridges is currently subject to great uncertainty due to the subjectivity of data collection and data types. This study proposes an improved evidence fusion method, improving the conventional De
Externí odkaz:
https://doaj.org/article/811cfd6d240b46a3bf0368f38f65701a
Publikováno v:
Sensors, Vol 24, Iss 1, p 3 (2023)
The morphological characteristics of a crack serve as crucial indicators for rating the condition of the concrete bridge components. Previous studies have predominantly employed deep learning techniques for pixel-level crack detection, while occasion
Externí odkaz:
https://doaj.org/article/78cca59d18a54f1d81ec09ea1652a45a
Publikováno v:
Sensors, Vol 23, Iss 15, p 6750 (2023)
Structural-response reconstruction is of great importance to enrich monitoring data for better understanding of the structural operation status. In this paper, a data-driven based structural-response reconstruction approach by generating response dat
Externí odkaz:
https://doaj.org/article/de6ddc52c47d46bfb4e25a79a0d33b85
Autor:
Yanjuan Chen, Jukka Kuva, Ashish Mohite, Zhongsen Li, Hubert Rahier, Fahim Al-Neshawy, Jiangpeng Shu
Publikováno v:
Materials, Vol 16, Iss 6, p 2534 (2023)
As we know, 3DPC is printed layer by layer compared with mold-casting conventional concrete. Pore structure and layer-to-layer interface are two main aspects of the internal structure for 3DPC, which decide 3DPC’s mechanical performance. The layer-
Externí odkaz:
https://doaj.org/article/48fd373d2c7941b19b9b41add155b0bc
Publikováno v:
Structural Concrete. 24:389-410
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1e63c877c8ef24d1b449c79e5775a369
https://doi.org/10.1002/suco.202200273
https://doi.org/10.1002/suco.202200273
Publikováno v:
Structural Concrete. 22:3213-3227
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2d7fd0a6a841d9ac2b959ed84f35a025
https://doi.org/10.1002/suco.202100194
https://doi.org/10.1002/suco.202100194
Publikováno v:
Journal of Civil Structural Health Monitoring. 12:29-46
It is important to assess damaged reinforced concrete (RC) structures to ensure their safety. Although 3D scanning technology enables the rapid collection of geometries of a structure, it remains difficult to record cracks due to resolution reasons.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::31ae747375c1f78b8804dfd8c7cc3b84
https://doi.org/10.1007/s13349-021-00525-5
https://doi.org/10.1007/s13349-021-00525-5