Optimization and control of complex unsteady flows remains an important challenge due to the large cost of performing a function evaluation, i.e. a full computational fluid dynamics (CFD) simulation. Reducing the number of required function evaluations would help to decrease the computational...

We present an error-neural-modeling-based strategy for approximating two-dimensional curvature in the level-set method. Our main contribution is a redesigned hybrid solver (Larios-Cárdenas and Gibou (2021)[1]) that relies on numerical schemes to enable machine-learning operations on demand. In...

Multi-objective Bayesian optimization (MOBO) is an efficient and robust optimization framework for expensive functions. In this work, we use MOBO to optimize the free parameters of a high-order nonlinear weighted essentially non-oscillatory (WENO) reconstruction scheme to devise a model for...

Sustainable energy grids and networks are converging. In recent decades, cost, sustainability, and digitization drivers have caused engineering systems to evolve into systems-of-systems that deliver multiple services across multiple application domains. These engineering systems include...

In this study, an interval two-stage fuzzy fractional programming (TFFP) method is developed to support collaborative governance of economy and water resources. Methods of interval programming, fuzzy programming, two-stage programming, and fractional programming are integrated within a general...

This study aimed to determine the optimum inulin (IN) and fructooligosaccharide (FOS) concentration in sodium caseinate-based edible films containing Bifidobacterium bifidum BB-12 and investigate the use for the coating of sliced processed cheese. The physicochemical, optical, and mechanical...

Global environmental problems have become increasingly prominent, and China, as one of the world's major powers, should take action. China promises to achieve a "carbon peak" by 2030, and carbon dioxide emissions will no longer increase, and will gradually decrease after reaching the peak. To...

Due to the lack of specific structure and size of gas turbine, the characteristic maps of components cannot be obtained, which causes many difficulties on building an accurate gas turbine model and judging degradation with the increase of running time. In this research, the field data of Ban...

In this paper a new method is proposed to identify parameters of the photovoltaic (PV) solar cells model. The method is a combination of a heuristic algorithm called flexible improved particle swarm optimization (FIPSO) and a gradient based algorithm called sequential quadratic programming...

This study presents a novel approach for wind farm micro-siting in complex terrain based on an improved Genetic Algorithm (GA). The proposed approach is used for optimizing the layout of wind turbines in a real terrain in Changsha, China. Firstly, a combination of computational fluid dynamics...