To analyze the crack development characteristics of different reinforced concrete beams in bending, explore the acoustic emission characteristics of beam damage and the degradation of flexural performance, a four-point bending test is used in conjunction with acoustic emission technology. This is employed to establish a link between the bending process and the aforementioned characteristics. The objective is to analyze the acoustic emission signals generated by the three different reinforced concrete beams, namely those with suitable reinforcement, less reinforcement, and over reinforcement, and to simulate and validate the bending process of different reinforced concrete beams using the numerical analysis of the finite element method of Abaqus. The RA-AF signals during the damage evolution process of reinforced concrete beams with different reinforcement ratios show significant differences. The proportion of shear crack signals (RA) in beams with appropriate reinforcement, low reinforcement, and excessive reinforcement is 77.6
In the context of electricity and carbon markets, with the in-depth research of virtual power plants and to realize the mutual assistance of electric energy in different regions within the same distribution network, a scheduling strategy of virtual power plant alliance based on dynamic electricity and carbon pricing using the Master–Slave game is proposed. Firstly, an interactive framework of virtual power plant alliance is designed in which the alliance operator formulates the electricity and carbon prices, and each user entity formulates the operation plan according to the prices. Secondly, the information gap decision theory is adopted to handle the uncertainties on the source–load side. Based on the Master–Slave game and source–load interaction, an economic optimal dispatching model for the virtual power plant alliance is established. Finally, the particle swarm optimization algorithm nested with the CPLEX solver is used to solve the model, and the rationality and effectiveness of the proposed strategy are demonstrated through case analysis. The simulation results show that, after considering the electricity energy interaction and dynamic electricity–carbon pricing, the daily operation cost of the virtual power plant alliance was reduced by 47.7%, carbon emissions decreased by 24.6%, and comprehensive benefits increased by 77.2%.
In image inpainting, the identification and inpainting of local detail features and the preservation of global features are crucial. Models based on fractional-order partial differential equations exhibit rich evolutionary behaviors. These behaviors enable them to effectively comprehend image details. Additionally, these models possess a certain sharpening effect in image inpainting. However, they are also prone to issues such as inaccurate identification of large-scale features and over-sharpening. The optimal control model proposed in this paper uses the total variation energy of image global features as the objective function. It also employs the spatial fractional-order vector-valued Cahn–Hilliard equation as the constraint, aiming to achieve a balanced effect between local detail restoration and preservation of global features. The paper aims to optimize the objective function by designing numerical computation schemes for non-convex constraint conditions using L_2 gradient flow, H^-1 gradient flow, and convex splitting. The Split Bregman method is used for further optimization, and a dynamic grayscale adjustment strategy is introduced to maintain grayscale discrimination capability while enhancing computational efficiency. Numerical experiments demonstrate that the new model exhibits certain advantages over other inpainting methods in terms of PSNR values. It also shows strong competitiveness in terms of SSIM values, especially in severely damaged images where it demonstrates greater stability. Compared to traditional fractional-order equation models, the proposed model captures global features and incorporates the dynamic grayscale adjustment strategy, resulting in significantly reduced computation time.
In order to study the factors influencing low temperature radiant floor heating in hot summer and cold winter locales,the impacts of five variables-water supply temperature,inter-tube flow rate,tube diameter,tube spacing,and filler layer thickness-on the average temperature and uniformity of the floor surface were examined using the orthogonal test technique of L25(56).The research demonstrates:water supply temperature＞tube spacing＞tube diameter＞filler layer thickness＞inter-tube flow rate has the most influence on the floor surface's average temperature,while tube spacing＞water supply temperature＞filler layer thickness＞tube diameter＞inter-tube flow rate has the most influence on the floor surface's uniformity.The ideal level combination is water supply temperature is taken as 35 ℃,inter-tube flow rate is taken as 0.4 m/s,tube diameter is taken as 16 mm,tube spacing is taken as the test's findings serve as a guide for designing radiant heating systems for use in hot summer and cold winter climates.They also offer suggestions on how to combine statistics and numerical analytic tools.
Aiming at the power coupling problem caused by the high impedance ratio between the distributed energy(DG)controlled by the virtual synchronous generator(VSG)and the power grid.In this paper,the power coupling mechanism is analyzed,and the coupling relationship between power and impedance ratio and power angle is established by relative static gain coefficient.A virtual power control technology based on virtual negative impedance is proposed.The virtual impedance is used to calculate the virtual voltage,and the obtained virtual voltage is fed back to the power calculation part to form the virtual power to realize power decoupling.Based on the constraint con-dition of coupling degree,the specific solution method of virtual resistance and inductance is given.Finally,the simulation model is built by using MATLAB/Simulink simulation software.By comparing with the traditional virtual impedance technology,it is verified that the proposed virtual power control strategy has a significant effect on weakening the coupling between the active and reactive power loops.
