The role of artificial intelligence and digital technologies in dam engineering: Narrative review and outlook
MA Hariri-Ardebili, G Mahdavi, LK Nuss… - Engineering Applications of …, 2023 - Elsevier
This narrative review paper explores the diverse applications of artificial intelligence (AI) in
the field of dam engineering. Authored by research engineers specializing in civil …
the field of dam engineering. Authored by research engineers specializing in civil …
A deep learning prediction model of DenseNet-LSTM for concrete gravity dam deformation based on feature selection
Y Zhang, W Zhong, Y Li, L Wen - Engineering Structures, 2023 - Elsevier
Dam deformation can comprehensively reflect the operational status of the dam. Thus, it is
significant to build a dam deformation prediction model with high accuracy for the operation …
significant to build a dam deformation prediction model with high accuracy for the operation …
A feature decomposition-based deep transfer learning framework for concrete dam deformation prediction with observational insufficiency
X Chen, Z Chen, S Hu, C Gu, J Guo, X Qin - Advanced Engineering …, 2023 - Elsevier
Most current dam deformation prediction models (DDPM) are mainly based on long-term
sequential data, but observational insufficiency is still a universal challenge in dam …
sequential data, but observational insufficiency is still a universal challenge in dam …
Development of compressive strength prediction platform for concrete materials based on machine learning techniques
K Liu, L Zhang, W Wang, G Zhang, L Xu, D Fan… - Journal of Building …, 2023 - Elsevier
With the continuous development of artificial intelligence, machine learning (ML), as an
important branch, is used to promote the digitalization of concrete. Considering that the …
important branch, is used to promote the digitalization of concrete. Considering that the …
Deep learning model for the deformation prediction of concrete dams under multistep and multifeature inputs based on an improved autoformer
K Tian, J Yang, L Cheng - Engineering Applications of Artificial Intelligence, 2024 - Elsevier
The long-term prediction of deformation in concrete dams is a critical requirement for
maintaining their structural integrity over time in practical management scenarios. While …
maintaining their structural integrity over time in practical management scenarios. While …
A separate modeling approach to noisy displacement prediction of concrete dams via improved deep learning with frequency division
Commonly, the displacement of a concrete dam is considered as a significant indicator to
assess the structure's performance during its service life. Since the displacement data …
assess the structure's performance during its service life. Since the displacement data …
Research on the uplift pressure prediction of concrete dams based on the CNN-GRU model
G Hua, S Wang, M Xiao, S Hu - water, 2023 - mdpi.com
Dam safety is considerably affected by seepage, and uplift pressure is a key indicator of dam
seepage. Thus, making accurate predictions of uplift pressure trends can improve dam …
seepage. Thus, making accurate predictions of uplift pressure trends can improve dam …
Deformation prediction based on denoising techniques and ensemble learning algorithms for concrete dams
M Liu, Z Wen, H Su - Expert Systems with Applications, 2024 - Elsevier
Constructing a deformation prediction model for dams that can accurately capture
deformation trends is crucial to ensure their operational safety. The accurate monitoring data …
deformation trends is crucial to ensure their operational safety. The accurate monitoring data …
A novel deformation monitoring model for high arch dams using impulse response-based equivalent temperature and machine learning-aided separate modeling
The anatomy of service status through health monitoring models is essential to long-term
structural safety. Since deformation is the intuitive representation of the dam's operating …
structural safety. Since deformation is the intuitive representation of the dam's operating …
Towards online monitoring of concrete dam displacement subject to time-varying environments: An improved sequential learning approach
Data-based models are widely applied in concrete dam health monitoring. However, most
existing models are restricted to offline modeling, which cannot continuously track the …
existing models are restricted to offline modeling, which cannot continuously track the …