. Faculty of Building and Industrial Construction, Hanoi University of Civil Engineering, Hanoi 11600, Vietnam . Research Group of Development and application of advanced materials and modern technologies in construction, Hanoi University of Civil Engineering, Hanoi 11600, Vietnam
Collecting and analyzing vibration signals from structures under time-varying excitations is a non-destructive structural health monitoring approach that can provide meaningful information about the structures’ safety without interrupting their normal operations. This paper develops a novel framework using prompt engineering for seamlessly integrating users’ domain knowledge about vibration signals with the advanced inference ability of well-trained large language models (LLMs) to accurately identify the actual states of structures. The proposed framework involves formulating collected data into a standardized form, utilizing various prompts to gain useful insights into the dynamic characteristics of vibration signals, and implementing an in-house program with the help of LLMs to perform damage detection. The advantages, as well as limitations, of the proposed method are qualitatively and quantitatively assessed through two realistic case studies from literature, demonstrating that the present method is a new way to quickly construct practical and reliable structural health monitoring applications without requiring advanced programming/mathematical skills or obscure specialized programs.
. [J]. Frontiers of Structural and Civil Engineering, 2024, 18(11): 1752-1774.
Truong-Thang NGUYEN, Viet-Hung DANG, Thanh-Tung PHAM. Development of an automatic and knowledge-infused framework for structural health monitoring based on prompt engineering. Front. Struct. Civ. Eng., 2024, 18(11): 1752-1774.
reducing 50% stiffness of one column on the first floor
2
reducing 50% stiffness of two columns on the first floor
3
reducing 50% stiffness of one column on the third floor
4
reducing 50% stiffness of two columns on the third floor
5
reducing 50% stiffness of two columns on the second floor
6
reducing 50% stiffness of one column on the second floor
Tab.2
Fig.13
Fig.14
Fig.15
Fig.16
Class
Precision
Recall
F1-score
0
0.89
0.85
0.87
1
0.89
0.87
0.88
2
0.92
0.97
0.94
3
0.88
0.90
0.89
4
0.96
0.96
0.96
5
0.90
0.90
0.90
6
0.86
0.86
0.86
Tab.3
Fig.17
Fig.18
Fig.19
Fig.20
Fig.21
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