Machine Learning application in prediction of Scour around Bridge Piers: A Comprehensive review
Scour is one of the most difficult challenges faced by hydraulic engineers, which refers to the
erosion of sediments that surrounds hydraulic structures. In the past, scour prediction has …
erosion of sediments that surrounds hydraulic structures. In the past, scour prediction has …
Physics-aware machine learning revolutionizes scientific paradigm for machine learning and process-based hydrology
Accurate hydrological understanding and water cycle prediction are crucial for addressing
scientific and societal challenges associated with the management of water resources …
scientific and societal challenges associated with the management of water resources …
A novel machine learning-based framework for predicting impact force in ship-bridge pier collisions
The escalating occurrence of ship-pier collisions poses a substantial threat to coastal bridge
infrastructures. To avert such accidents, various specifications have introduced several …
infrastructures. To avert such accidents, various specifications have introduced several …
Marine vessel detection dataset and benchmark for unmanned surface vehicles
N Wang, Y Wang, Y Wei, B Han, Y Feng - Applied Ocean Research, 2024 - Elsevier
Deep learning-based visual perception of an unmanned surface vehicle (USV) essentially
benefits from informative images. It is unfortunately short of available datasets of marine …
benefits from informative images. It is unfortunately short of available datasets of marine …
Smart control of bridge support forces using adaptive bearings based on physics-informed neural network (PINN)
Bridge bearings play significant roles in the mechanical responses of bridges and
foundations and impact the operation of bridges. This paper presents an adaptive bearing …
foundations and impact the operation of bridges. This paper presents an adaptive bearing …
[HTML][HTML] Application of proper orthogonal decomposition to flow fields around various geometries and reduced-order modeling
This study is focused on a reduced-order model (ROM) based on proper orthogonal
decomposition (POD) for unsteady flow around a stationary object, which allows prediction …
decomposition (POD) for unsteady flow around a stationary object, which allows prediction …
Optimization random forest model for air entrainment hysteresis prediction in ventilated cavitation using genetic and particle swarm along with experimental …
One of the complex challenges in ventilated cavitating flow studies is analyzing hysteresis
behavior and the formation air entrainment coefficient ( C qf) under different conditions …
behavior and the formation air entrainment coefficient ( C qf) under different conditions …
A novel-tuned Custom ensemble machine learning model to predict abutment scour depth in clear water conditions
Most bridge failures occur due to the development of scour holes around the abutment and
pier. Therefore, accurate prediction of abutment scour depth is critical for designing and …
pier. Therefore, accurate prediction of abutment scour depth is critical for designing and …
Field observations and long short-term memory modeling of spectral wave evolution at living shorelines in Chesapeake Bay, USA
N Wang, Q Chen, H Wang, WD Capurso… - Applied Ocean …, 2023 - Elsevier
Living shorelines as a nature-based solution for climate change adaptation were
constructed in many places around the world. The success of this type of projects requires …
constructed in many places around the world. The success of this type of projects requires …
Predictive capabilities of data-driven machine learning techniques on wave-bridge interactions
To explore coastal bridge safety subjected to extreme waves during coastal natural hazards,
numerical simulations that combine finite element methods and experimental data have …
numerical simulations that combine finite element methods and experimental data have …