Machine learning in coastal bridge hydrodynamics: a state-of-the-art review

G Xu, C Ji, Y Xu, E Yu, Z Cao, Q Wu, P Lin… - Applied Ocean …, 2023 - Elsevier
Coastal bridges are vulnerable to complicated hydrodynamics induced by hostile natural
hazards, relevant research is thus required to ensure the safe operation of these critical …

[HTML][HTML] A greedy perimeter stateless routing method based on a position prediction mechanism for flying ad hoc networks

M Hosseinzadeh, J Tanveer, L Ionescu-Feleaga… - Journal of King Saud …, 2023 - Elsevier
Today, unmanned aerial vehicles (UAVs) are very popular in military and commercial
applications as well as academic research. Flying ad hoc network (FANET) is a new type of …

Ensemble of surrogates in black-box-type engineering optimization: Recent advances and applications

H Chen, Z Zhang, W Li, Q Liu, K Sun, D Fan… - Expert Systems with …, 2024 - Elsevier
Due to its high efficiency, surrogate models have been extensively used in black-box-type
engineering optimization problems. However, due to the nature of black-box functions, it is …

An adaptive Kriging method based on K-means clustering and sampling in n-ball for structural reliability analysis

J Wang, Z Cao, G Xu, J Yang, A Kareem - Engineering Computations, 2023 - emerald.com
Purpose Assessing the failure probability of engineering structures is still a challenging task
in the presence of various uncertainties due to the involvement of expensive-to-evaluate …

Active learning-based hydrodynamic shape optimization and numerical simulation of auxiliary structures for circular bridge piers

H Qin, Z Jiang, Y Jin, J Wang, G Xu - Ocean Engineering, 2023 - Elsevier
Cylinders as a common form of bridge piers are widely used in engineering practices, yet
the hydrodynamic forces and local scouring of the cylinder due to the fluid flow cause …

A systematic framework of constructing surrogate model for slider track peeling strength prediction

XJ Dong, Q Chen, WB Liu, D Wang, ZK Peng… - Science China …, 2024 - Springer
Peeling strength can comprehensively reflect slider track safety and is crucial in car seat
safety assessments. Current methods for determining slider peeling strength are primarily …

Active Closed-loop Transfer Learning Based Surrogate Models for Telescopic Boom Forklift Optimization

J Lin, H Li, Y Huang, G Liang, S Zhou, Z Huang - IEEE Access, 2024 - ieeexplore.ieee.org
The telescopic boom forklift is a very efficient engineering equipment because of its
distinctive boom system. However, to speed up product development and reduce costs …

Direction-Aware Greedy Routing Protocol with Recovery Mechanism (DAGR-R) For Flying Ad-Hoc Networks

J Agrawal - 2023 International Conference on Communication …, 2023 - ieeexplore.ieee.org
FANET (Flying Ad Hoc Network) is formed using unmanned aerial vehicles (UAVs) that are
used in a variety of areas like emergency communications, surveillance, and monitoring …

Surrogate Models and Ensemble Strategies for Expensive Evolutionary Optimization: An Industrial Case Study

M Garza-Fabre, N Cortés-García… - IEEE …, 2024 - ieeexplore.ieee.org
Expensive optimization problems are characterized by the significant amount of time and
resources needed to determine the quality of potential solutions. This poses severe …

[HTML][HTML] Multi-fidelity modeling and analysis of a pressurized vessel-pipe-safety valve system based on MOC and surrogate modeling methods

X Song, Q Li, F Liu, W Zhou, C Zong - Nuclear Engineering and Technology, 2023 - Elsevier
A pressurized vessel-pipe-safety valve (PVPSV) combination is a commonly used
configuration in nuclear power plants, and a good numerical model is essential for the …