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中文摘要：
以初始设计的劲度矩阵为预条件矩阵，给出了大型结构有限元重分析的预条件共轭梯度算法．该算法不需要形成和存储修改结构的劲度矩阵，占用内存小，并具有较高的精度和收敛速度．拱坝体形修改有限元分析算例表明，即使设计变量有较大改变时，该方法也能较快地收敛到精确解．
英文摘要：
The initial design stiffness matrix was regarded as the precondition matrix. The preconditioned conjugate gradient （PCG） method was proposed for the finite element reanalysis of large structural optimization. This algorithm is not necessary to form and store the stiffness matrix of modified structures. It can save memory and has a high precision and convergence speed. The finite element reanalysis of an arch dam shows that the proposed method rapidly achieves excellent approximate results even with many changes of the design variables.
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