中文摘要：

针对大规模结构重分析计算中，随着待分析结构规模的扩大，重分析计算效率大幅度下降的问题，采用CUDA并行编程模型并结合组合近似法，建立了基于GPU平台的重分析并行系统。分别对刚度矩阵组装、预处理共轭梯度法等重分析关键计算流程进行了 GPU 并行实现。通过对车架和车门的刚度分析对该系统的性能进行了测试。测试结果表明，所提出的重分析方法能够在确保重分析计算精度的同时，大幅度提升计算效率。

英文摘要：

Combined approximation （CA）was commonly used in structural reanalysis.However, with the increasing complexity and scale of the engineering problems,the classical CA could not be used directly due to huge decrease in computational efficiency.To overcome such bottleneck for large-scale reanalysis problem,the CA procedure was reconstructed to accommodate the use of GPU by employing CUDA programming model,and then a GPU-based reanalysis system was established. Some important issues of the reanalysis,such as assembly of stiffness matrix,inverse of equilibrium equations were parallelized and optimized.To verify the performance of the suggested system and al-gorithms,stiffness analysis of frame and door of a vehicle were implemented successfully.Finally, the results demonstrate that the efficiency of the reanalysis is improved significantly and the accuracy of the simulated results is also promised.