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Fatigue reliability of wind turbines: historical perspectives, recent developments and future prospects
Wind, as a sustainable and affordable energy source, represents a strong alternative to
traditional energy sources. However, wind power is only one of the options, together with …
traditional energy sources. However, wind power is only one of the options, together with …
A novel Kriging-model-assisted reliability-based multidisciplinary design optimization strategy and its application in the offshore wind turbine tower
Abstract In Reliability-based Multidisciplinary Design Optimization (RBMDO), the key
performance functions of wind turbine are usually implicit, which means the performance …
performance functions of wind turbine are usually implicit, which means the performance …
Intelligent-inspired framework for fatigue reliability evaluation of offshore wind turbine support structures under hybrid uncertainty
Offshore wind energy has become a key strategy in the global transition to sustainable and
renewable energy. This emphasis has significantly propelled the advancement of offshore …
renewable energy. This emphasis has significantly propelled the advancement of offshore …
Kriging-assisted hybrid reliability design and optimization of offshore wind turbine support structure based on a portfolio allocation strategy
In recent years, offshore wind power generation technology has developed rapidly around
the world, making important contributions to the further development of renewable energy …
the world, making important contributions to the further development of renewable energy …
A novel hybrid adaptive Kriging and water cycle algorithm for reliability-based design and optimization strategy: Application in offshore wind turbine monopile
Metaheuristic algorithms have been widely concerned by scholars because of their global
optimization ability that does not depend on gradient information. In this study, Water Cycle …
optimization ability that does not depend on gradient information. In this study, Water Cycle …
A novel learning function for adaptive surrogate-model-based reliability evaluation
S Yang, D Meng, H Wang… - … Transactions of the …, 2024 - royalsocietypublishing.org
The classical reliability analysis methods, due to the ever-increasing complexity of
engineering structure, may lead to higher and higher calculation errors and costs. The …
engineering structure, may lead to higher and higher calculation errors and costs. The …
Active Kriging-based conjugate first-order reliability method for highly efficient structural reliability analysis using resample strategy
Efficient structural reliability analysis method is crucial to solving reliability analysis of
complex structural problems. High-computational cost and low-failure probability problems …
complex structural problems. High-computational cost and low-failure probability problems …
A new hybrid PSO-YUKI for double cracks identification in CFRP cantilever beam
The durability and simplicity of the programming of meta-heuristic algorithms make them
important in the optimization field. This paper presents a novel application for double cracks …
important in the optimization field. This paper presents a novel application for double cracks …
Data-model fusion driven intelligent rapid response design of underwater gliders
Underwater glider (UG) is one of the most promising ocean observation platforms, which
involves multiple disciplines. Currently, the system design of UGs greatly relies on the time …
involves multiple disciplines. Currently, the system design of UGs greatly relies on the time …
Higher order fractal belief Rényi divergence with its applications in pattern classification
Information can be quantified and expressed by uncertainty, and improving the decision
level of uncertain information is vital in modeling and processing uncertain information …
level of uncertain information is vital in modeling and processing uncertain information …