http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
Weifei Hu,Insik Han,박상철,최동훈 대한기계학회 2012 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.26 No.1
An extensively automated optimization procedure is presented for a horizontal axis wind turbine (HAWT) blade based on ultimate limit state analysis. Two composite materials named glass fiber reinforced plastic (GFRP) and carbon fiber reinforced plastic (CFRP) are applied with a multi-objective of blade cost and total mass. Laminate layer thickness, material type and orientation angle are tailored for the structural performance and subjected to three design constraints which are derived from analysis of ultimate strength, fatigue failure and critical deflection, respectively. Combining FEM analysis and an evolutionary algorithm, the proposed optimization process has dramatically reduced design cost and improved blade performance.
Pengwen Sun,Yin Zhang,Lanting Zhang,Weifei Hu 대한기계학회 2022 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.36 No.3
Blade ply parameters are important design factors that influence the performances of wind turbine blades. This paper proposes a sensitivity analysis method of the blade ply parameters that fuses the relative sensitivity analysis of multi-parameters and the interval sensitivity analysis of single-parameters. A method for identifying the stability region of the sensitive parameters is presented. Coupled mathematical models of the blade static strength and the blade stiffness as a function of the blade ply parameters are established by incorporating experimental design, finite element analysis, and multiple nonlinear regression. The moment independent sensitivity analysis method based on the cumulative distribution function is used to analyze the multi-parameter relative sensitivity, and the direct derivative method was used to analyze single-parameter interval sensitivity. The sensitive and insensitive ply parameters are identified, and the initial stability and instability regions of the ply parameters are determined. A case study of a 1.5 MW blade shows that the ply angle and the ply thickness are sensitive parameters, and the ply stacking sequence is an insensitive parameter. The optimal and stability value ranges of the ply angle and the ±x° ply thickness ratio are [44°, 45°] and [44 %, 48 %], respectively. Hence, the validity and reliability of the proposed method is verified.
Pengwen Sun,Jie Zhang,Penghui Wu,Jiandong Li,Lanting Zhang,Weifei Hu 대한기계학회 2022 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.36 No.2
A discrete material optimization method with a patch strategy based on the stiffness matrix interpolation is proposed, and a comprehensive technical process of patch discrete material optimization using existing finite element software was developed. This method employs the stiffness matrix instead of the constitutive matrix for material interpolation, which facilitates the optimization process integrated with the existing finite element software. The element stiffness matrix can be derived directly from the finite element analysis, which can not only ensure the correctness of the data, but also reduce the programming work of solving the numerical integration of the composite constitutive matrix. The mathematical model of the patch discrete material optimization is established, which takes the artificial density as the design variable, the minimum compliance as the objective function, and the sequential quadratic programming (SQP) algorithm as the optimization solver. Numerical examples show that by seeking a balance between the number of regions and practical production, the performance of the composite could be further improved using the discrete material optimization method with a patch strategy. Besides, the convergence rate of the optimization is increased by introducing the sum constraints of the design variables and the value functions. The effectiveness and the feasibility of the method were verified.