Recent advancement of concrete dam health monitoring technology: a systematic literature review

G Prakash, R Dugalam, M Barbosh, A Sadhu - Structures, 2022 - Elsevier
The health monitoring of dams has become a topic of paramount importance to maintain the
sustainability and resiliency of our society. The dam health monitoring (DHM) models …

[HTML][HTML] Long-term health monitoring of concrete and steel bridges under large and missing data by unsupervised meta learning

A Entezami, H Sarmadi, B Behkamal - Engineering Structures, 2023 - Elsevier
Long-term monitoring brings an important benefit for health monitoring of civil structures due
to covering all possible unpredictable variations in measured vibration data and providing …

A review of the implementations of glass fiber in concrete technology

C Devi, DS Vijayan, R Nagalingam… - Materials Today …, 2022 - Elsevier
Concrete Technology is the science and art of proportioning raw materials in order to
produce concrete that satisfies specified mechanical, stiffness, and workability …

Spatiotemporal clustering analysis and zonal prediction model for deformation behavior of super-high arch dams

W Cao, Z Wen, H Su - Expert Systems with Applications, 2023 - Elsevier
Super-high arch dams are affected by similar environmental factors, and there is some
spatial and temporal correlation among the deformation measurement points, while the …

Structural health monitoring of inland navigation structures and ports: a review on developments and challenges

P Negi, R Kromanis, AG Dorée… - Structural Health …, 2024 - journals.sagepub.com
Inland navigation structures (INS) facilitate transportation of goods in rivers and canals.
Transportation of goods over waterways is more energy efficient than on roads and railways …

A critical review of statistical model of dam monitoring data

X Liu, Z Li, L Sun, EY Khailah, J Wang, W Lu - Journal of Building …, 2023 - Elsevier
This paper comprehensively reviews the origin, history, development, applications, and
prospects of statistical modeling in the field of dam safety monitoring. The review covers the …

From data to insight, enhancing structural health monitoring using physics-informed machine learning and advanced data collection methods

SHM Rizvi, M Abbas - Engineering Research Express, 2023 - iopscience.iop.org
Owing to recent advancements in sensor technology, data mining, Machine Learning (ML)
and cloud computation, Structural Health Monitoring (SHM) based on a data-driven …

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 …

Hierarchical prediction of dam deformation based on hybrid temporal network and load-oriented residual correction

E Cao, T Bao, R Yuan, S Hu - Engineering Structures, 2024 - Elsevier
Dam deformation prediction methods try to make the predicted values infinitely close to the
true values, but no method can capture all the deformation information and residuals are …

Physical data-driven modeling of deformation mechanism constraints on earth-rock dams based on deep feature knowledge distillation and finite element method

J Tian, Y Luo, X Lu, Y Li, J Chen - Engineering Structures, 2024 - Elsevier
Constructing an interpretable model for the long-term deformation Structural Health
Monitoring (SHM) of earth-rock dams is of great significance for improving the safety state …