Zobrazeno 1 - 10
of 22 468
pro vyhledávání: '"DAMAGE DETECTION"'
Autor:
Duong Huong NGUYEN, Nhu Mai Thi NGUYEN
Publikováno v:
Journal of Materials and Engineering Structures, Vol 11, Iss 3, Pp 255-266 (2024)
Vibration-based damage detection (VBDD) methods have emerged as powerful, cost-effective, and non-destructive methods for detecting and assessing damage in structures. These methods utilize the natural dynamics of structures to identify the presence,
Externí odkaz:
https://doaj.org/article/cbb183d3252d417d99928830cd09078c
Autor:
Dessena, Gabriele, Civera, Marco, Pontillo, Alessandro, Ignatyev, Dmitry I., Whidborne, James F., Zanotti Fragonara, Luca
Publikováno v:
Aircraft Engineering and Aerospace Technology, 2024, Vol. 96, Issue 11, pp. 27-36.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/AEAT-06-2024-0178
Publikováno v:
Advances in Bridge Engineering, Vol 5, Iss 1, Pp 1-17 (2024)
Abstract Surface damage detection in concrete structures is critical for maintaining structural integrity, yet current object detection algorithms often struggle in low-light environments. To address this challenge, this study proposed a methodology
Externí odkaz:
https://doaj.org/article/54706d0e38a5438ba071e4213f3e9d87
Publikováno v:
Alexandria Engineering Journal, Vol 107, Iss , Pp 770-785 (2024)
This study addresses the challenges of data scarcity and class imbalance in structural health monitoring (SHM) of composite structures. Data-driven SHM techniques that benefit from non-destructive evaluation (NDE) are used in various composite struct
Externí odkaz:
https://doaj.org/article/7c8f7c22c3cb4017810764cb6a200d99
Publikováno v:
Geoscience Data Journal, Vol 11, Iss 4, Pp 846-862 (2024)
Abstract The data article describes the Road Damage Dataset, RDD2022, encompassing of 47,420 road images from majorly six countries, Japan, India, the Czech Republic, Norway, the United States, and China. The dataset incorporates over 55,000 instance
Externí odkaz:
https://doaj.org/article/e1eae055bd7b4891b7418b49890bcca2
Autor:
Daniele Kauctz Monteiro, Letícia Fleck Fadel Miguel, Gustavo Zeni, Tiago Becker, Giovanni Souza de Andrade, Rodrigo Rodrigues de Barros
Publikováno v:
Discover Civil Engineering, Vol 1, Iss 1, Pp 1-22 (2024)
Abstract This paper introduces an approach for vibration-based damage detection based on matrix updating aided by the Whale Optimization Algorithm (WOA). The methodology uses the Data-driven Stochastic Subspace Identification (SSI-DATA) technique to
Externí odkaz:
https://doaj.org/article/c1debe76a0554ec18f3fa79f9b6d13e6
Autor:
Magdalena Pilarska-Mazurek, Krzysztof Bakuła, Jakub Górka, Paweł Czernic, Anna Lejzerowicz, Wojciech Ostrowski, Borys Chetverikov
Publikováno v:
Archives of Civil Engineering, Vol vol. 70, Iss No 3, Pp 619-634 (2024)
Data synergy involves acquiring and combining data from different sensors to achieve better problem analysis and research results. For more comprehensive data analysis, the sensors are not only mounted on one platform. Still, they should also be comp
Externí odkaz:
https://doaj.org/article/71aa5ffd958d426bb43340bffbe484b3
Publikováno v:
Frattura ed Integrità Strutturale, Vol 18, Iss 70, Pp 25-54 (2024)
In this research, the variational mode decomposition (VMD) method is used for the drive-by health monitoring of bridges. Firstly, the problem of a half-trailer tractor moving over a bridge is formulated. Next, a Finite Element (FE) code is developed
Externí odkaz:
https://doaj.org/article/67acb2612b024c1b948565eb8736d0b9
Publikováno v:
International Journal of Structural Integrity, 2024, Vol. 15, Issue 5, pp. 851-872.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/IJSI-04-2024-0065
Publikováno v:
International Journal of Structural Integrity, 2024, Vol. 15, Issue 4, pp. 811-831.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/IJSI-04-2024-0059