In order to evaluate the cracking process in large reinforced and pre-stressed concrete structures, a predictive simulation of concrete damage with a refined mesh and a nonlinear law is required. Because of the computational load, such modelling is not applicable directly on large-scale structures whose characteristic dimensions are over several tens of meters. To deal with this type of structure, an adaptive static condensation method (ASC), which concentrates the computational effort on the damaged area (domain of interest) only, is proposed. The ASC method is first presented. A particular attention is paid to the needed developments to extend its domain of application up to prestressed concrete structures. The method is then applied to a three point bending prestressed beam and validated by comparison to a classical finite element damage computation. The numerical efficiency of the proposed approach is evaluated with, on this application, a time saving factor of about 15.

An automatic mesh partitioning method is then implemented to make the method even more efficient. Based on physical considerations, it takes into account the expected shape and the evolution of the damaged regions during the loading. It is applied to three test cases with different geometries and loading to discuss the calibration process through a sensitivity analysis. A unique set of parameters is finally proposed and the efficiency of the method is demonstrated. As a conclusion; a complete automatic method is made available for the simulation of large scale reinforced and prestressed concrete structures.

为了评估大型钢筋和预应力混凝土结构的开裂过程，需要使用细化网格和非线性定律对混凝土损伤进行预测模拟。由于计算量大，这种建模不能直接应用于特征尺寸超过几十米的大型结构。为了处理这种类型的结构，提出了一种自适应静态压缩方法（ASC），该方法将计算工作集中在损坏区域（感兴趣的域）上。首先介绍 ASC 方法。特别关注将其应用领域扩展到预应力混凝土结构所需的发展。然后将该方法应用于三点弯曲预应力梁，并通过与经典有限元损伤计算进行比较来验证。在此应用程序中，所提出方法的数值效率通过大约 15 的时间节省系数进行评估。

然后实施自动网格划分方法以使该方法更加有效。基于物理考虑，它考虑了预期的形状和加载过程中损坏区域的演变。它适用于具有不同几何形状和负载的三个测试用例，以通过灵敏度分析讨论校准过程。最后提出了一组独特的参数，并证明了该方法的效率。作为结论; 为模拟大型钢筋和预应力混凝土结构提供了一种完全自动化的方法。