复杂时变激励下失谐叶盘瞬态强迫响应分析

提出一种高效的失谐叶盘瞬态强迫响应分析方法,不同于传统的数值积分方法,该方法推导出瞬态强迫响应的解析表达式,能更为高效地预测失谐叶盘的瞬态强迫响应。首先,对叶盘的高保真有限元模型进行减缩建模,在精确地描述叶盘结构的动力学特性的前提下,极大的减少了模型的自由度数目。其次,模拟加速旋转的涡轮叶盘经过复杂流场时叶片表面上的气动载荷,并建立叶盘固有频率和振型随转速变化的数学函数;通过共振分析确定叶盘共振的转速区间并分析引起共振的激励阶次成分。最后,计算了不同旋转加速度和阻尼下叶盘的瞬态强迫响应,并对叶盘的失谐幅值放大因子进行研究。应用本办法对某86个叶片的涡轮叶盘进行了数值分析,结果表明,相同阻尼水平下,叶盘的瞬态强迫响应幅值随旋转加速度增加而降低,失谐幅值放大因子在瞬态条件下大于稳态条件下,最高可达30%。     

失谐叶片轮盘的减缩建模及动力响应预测方法

为解决高保真失谐叶盘计算量大的问题,提出了一种新的减缩建模及动力响应预测方法。该方法对叶盘单扇区有限元模型进行圆周对称分析,获取谐调叶盘在局部坐标系下的基本模态特性。同时,运用主节点的概念,仅对少量节点进行模态分析,在大大降低矩阵维度的同时获取准确的失谐模态特性。在动力响应预测分析时,利用失谐固有频率点处响应的基本特性,仅选取危险频段内、危险叶片上的危险节点进行响应分析计算,既极大地提高了运算效率,又能够准确地获取叶盘最大受迫响应幅值。实例分析结果表明:相较于传统的有限元方法,该方法中模态分析的求逆过程矩阵维度从150万下降到384,计算所得的前50阶固有频率的精度保持在0.005%以内,最大响应计算过程运算量下降超过99%时,仅存在-0.35%的误差。     

Identification of crystal orientation for turbine blades with anisotropy materials

A novel approach to identify the crystal orientation of turbine blades with anisotropy materials is proposed. Based on enhanced mode basis, with the main advantages of its efficiency, accuracy and general applicability, the blade vibration mode of each order is linearly constructed by several specified mode shapes, which are obtained from the considered turbine blade with specified crystal orientations correspondingly. Then, a surrogate model based on Kriging method is introduced for constructing the condensed perturbed matrix of stiffness in order to improve the efficiency even further. The constructed surrogate model allows to perform the modal analysis of turbine blades with arbitrary crystal orientations in higher efficiency, due to the fact that the elements of condensed perturbed matrix of stiffness are considered in construction of the surrogate model rather than concerning the perturbation of all the elements of the initial stiffness matrix for the blade. Genetic algorithm is finally employed to optimize the defined fitness functions in order to identify the crystal orientation angles of turbine blades. Several corresponding examples demonstrated the accuracy, efficiency and general applicability of the proposed method.