提出了应力张量与位移梯度张量的对偶关系。
A dual relationship between stress tensor and displacement grads tensor is presented.
还可考虑因垂直梯度与水平支座一起发生的垂直位移，以及因大梁一端转动引起的垂直位移。
Vertical movement due to vertical grade with horizontal bearings and vertical movement due to girder end rotation may also be considered.
基于梯度塑性理论，研究了应变软化阶段的刚度劣化对剪切带内部的局部应变及相对剪切位移的影响。
Distributed shear strain and displacement in localized shear band were investigated considering degraded stiffness in the strain-softening process based on gradient-dependent plasticity.
基于梯度塑性理论，分析了应变软化及真实裂纹扩展阶段的局部化带的张拉位移和转角。
The tensile displacement and angle of rotation of tensile strain localized band are analyzed in strain softening stage and in real crack propagation stage based on gradient-dependent plasticity.
对该模型施加适当的约束和载荷，通过预前共轭梯度法，计算得到了轴类零件在常见工况-弯曲和扭转载荷作用下的位移、应力、应变等力学特性。
Results of displacement, stress and strain of the shaft under the common loads of bend and torsion are obtained by Pre-condition conjugate gradient method.
梯度塑性理论可用于研究韧性断层带内部应变、应变率分布规律、断层带错动位移及带内孔隙度分布规律，为韧性断层带定量分析提供了新的手段。
The theory can be used to study the distributed strain, strain rate, porosity and plastic shear displacement in fault band, which presents a new method for quantitative analysis of ductile shear zone.
首先将板内的位移利用中面上位移及其沿梁厚方向的梯度表示出来，并获得梁内应力张量。
The expressions of the displacements and stress components are obtained in term of the midsurface displacement and the derivatives.
将功能梯度三维矩形板的位移变量按双三角级数展开，以弹性力学的平衡方程为基础，导出位移形式的平衡方程。
The displacement components of a three dimensional functionally graded rectangular plate were expanded in the forms of double trigonometric series.
本文采用了基于梯度法的运动估计，因为它能很好地对大位移的图像进行精确的配准。
This thesis adopts a gradient image registration method which is based on the Taylor theory. Since it can provide a good registration for big shifted image.
它对一定时间间隔内两次采样得到的图象进行运算，用最陡梯度下降法直接迭代出图象位移的估计值。
The algorithm which utilizes the Steepest Descent Method can give the estimation of displacement between two frames of image directly.
它对一定时间间隔内两次采样得到的图象进行运算，用最陡梯度下降法直接迭代出图象位移的估计值。
The algorithm which utilizes the Steepest Descent Method can give the estimation of displacement between two frames of image directly.
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