本文对多边形厚板弯曲问题，提出了一种新的简单的边界元解法。
In this paper a new simple boundary element method for solving polygonal thick plate bending problems is proposed.
针对7075铝合金中厚板真空电子束焊接过程，采用非线性有限元法，对焊接接头的残余应力分布进行了数值模拟。
Aim at 7075 aluminium alloy vacuum electronic beam welding, using nonlinear finite element, the numerical simulation of the residual stresses distribution in welding joint was made.
在板的有限元分析中，构造协调和无剪切闭锁现象的中厚板单元一直是人们所关注的问题和难题。
The structure coordination and shear unlocking middle thick plate element is a problem to which people pay close attention in the finite element analysis of plate.
采用动态显式有限元法对中厚板轧制过程进行了分析。
The rolling process of medium plate was analyzed with the explicit dynamic finite element method.
进一步和有限元法相结合，得到了能够分析具有任意边界条件和几何形状的复合材料叠层厚板的半解析数值方法即哈密顿单元方法。
Combined with the finite element method, the semi-analytical numerical method presented can be used to analyze thick composite laminates with arbitrary boundary conditions and geometrical shapes.
本文根据热弹塑性应力理论，用有限元法分析了厚板焊接工形截面柱的残余应力。
Using the theory of thermal elastic-plastic stress, this paper calculates the residual stress distribution in the heavy welded I-section by finite element method.
采用显式动力学有限元软件来模拟中厚板轧制成形过程中的平面形状控制问题。
Simulation of the plate rolling was performed using the dynamic explicit finite element software.
针对钢板冷却发生翘曲变形的问题，利用热弹塑性有限元法对中厚板冷却过程的温度场及应力应变场进行数值模拟。
The temperature and stress-strain field of steel plate runout table cooling are simulated using thermo-elastoplastic finite element method.
本文以无奇点边界元法分析地基厚板，而用分层总和法计算地基沉降，并将两者联系起来，即利用边界元法解出的厚板下的地基反力作为分层总和法的外力，从而求出地基的沉降。
Solving the thin plates on Winkler's foundation by the nonsingular boundary element method and the layerwise summation method, the deflection of the given point of the plate can be obtained.
为了提高中厚板轧机轧制力的预报精度，采用轧制力模型自适应与人工神经元网络相结合的方法进行中厚板轧制力的在线预报。
In order to improve the precision of the model, a new method using self adaption and artificial neural networks to predict rolling force was developed.
为了提高中厚板轧机轧制力的预报精度，采用轧制力模型自适应与人工神经元网络相结合的方法进行中厚板轧制力的在线预报。
In order to improve the precision of the model, a new method using self adaption and artificial neural networks to predict rolling force was developed.
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