Data mining approach to construction productivity prediction for cutter suction dredgers

S Bai, M Li, R Kong, S Han, H Li, L Qin - Automation in Construction, 2019 - Elsevier
Cutter suction dredgers are important equipment in the dredging engineering. However,
dredging construction productivity is affected by many factors such as soil, hydrology …

A real-time green construction optimization strategy for engineering vessels considering fuel consumption and productivity: A case study on a cutter suction dredger

G Shang, L Xu, J Tian, D Cai, Z Xu, Z Zhou - Energy, 2023 - Elsevier
Energy saving in the process of engineering construction is an indispensable measure to
achieve industrial low carbon emissions. To reduce fuel consumption in the construction …

Research on predicting the productivity of cutter suction dredgers based on data mining with model stacked generalization

B Wang, S Fan, P Jiang, T Xing, Z Fang, Q Wen - Ocean Engineering, 2020 - Elsevier
To solve the problem that dredging prediction systems provide inaccurate productivity
predictions and rely heavily on mud concentration data. This paper presents a data mining …

Cutting state estimation and time series prediction using deep learning for Cutter Suction Dredger

B Wang, S Fan, P Jiang, Y Chen, H Zhu… - Applied Ocean Research, 2023 - Elsevier
With the increasing environmental protection standard, the Cutter Suction Dredger (CSD)
construction is required to guarantee precise dredging in some special areas. Specifically …

The replacement of dysfunctional sensors based on the digital twin method during the cutter suction dredger construction process

B Wang, S Fan, Y Chen, L Zheng, H Zhu, Z Fang… - Measurement, 2022 - Elsevier
In practice, the construction environment of the cutter suction dredger (CSD) is inclement,
which results in a high frequency of the key parameter sensor failure. If the key parameter …

Intelligent short-term forecasting for mud concentration in CSD dredging construction

S Han, H Li, M Li, H Tian, L Qin, Y Yu, J Ma - Ocean Engineering, 2022 - Elsevier
It has long been a challenge in the design of cutter suction dredgers (CSD) that the
measurement of mud concentration lags behind other indicators like vacuum and flow rate …

[HTML][HTML] A novel method with stacking learning of data-driven soft sensors for mud concentration in a cutter suction dredger

B Wang, S Fan, P Jiang, H Zhu, T Xiong, W Wei, Z Fang - Sensors, 2020 - mdpi.com
The dredger construction environment is harsh, and the mud concentration meter can be
damaged from time to time. To ensure that the dredger can continue construction operations …

Productivity analysis of trailing suction hopper dredgers using stacking strategy

S Bai, M Li, L Song, Q Ren, L Qin, J Fu - Automation in Construction, 2021 - Elsevier
Abstract Trailing Suction Hopper Dredger (TSHD) is commonly used in dredging
construction operations. Accurate productivity estimation and optimization are important for …

Productivity estimation of cutter suction dredger operation through data mining and learning from real-time big data

J Fu, H Tian, L Song, M Li, S Bai, Q Ren - Engineering, Construction …, 2021 - emerald.com
Purpose This paper presents a new approach of productivity estimation of cutter suction
dredger operation through data mining and learning from real-time big data …

[HTML][HTML] Temporal model for ship twin-propeller jet induced sandbed scour

Y Cui, WH Lam, T Zhang, C Sun, D Robinson… - Journal of Marine …, 2019 - mdpi.com
This research paper proposes the use of empirical equations to estimate the temporal
maximum scour that is induced by twin-propeller (ε twin= Ω t [ln (t)] Γ t) when acting over non …