强震作用下高层钢筋混凝土结构的破坏是一个发生在材料、构件和结构多层次上复杂的跨尺度灾变过程。现有的多尺度分析方法不能同时满足细观精确模拟和高效计算的要求，难以应用于实际重大工程，是一个亟待解决的关键科学难题。本项目结合当前国际上新兴的Peridynamics理论（近场动力学，简称PD），提出新型钢筋混凝土材料的精确PD模拟方法，并基于此建立梁柱、节点及剪力墙等关键构件的精细化PD模型，经试验验证后嵌入并拓展自主研发的数值子结构理论框架，建立适用于实际工程的新型地震损伤多尺度演化分析方法，从而科学、准确地模拟大型全结构的灾变全过程。既充分发挥了PD模型能精确模拟细观变形、开裂和损伤的优势，又结合了数值子结构方法可同时高效计算不同精度模型的优点，兼顾精度和效率，不仅使此类高层结构的多尺度精细化分析成为可能，还可直接推广到其它大型结构和更广泛、多样化的工程问题中，具有重要学术价值和广阔应用前景。

The seismic damage of high-rise reinforced concrete structures is a very complicated process occurring at various levels of materials, components and structures. The existing multi-scale analysis method cannot accurately simulate the meso-scale damages in an efficient manner for real-world large-scale engineering problems, which is a key and urgent scientific problem. Based on the emerging international peridynamics theory (or PD), this project intends to develop new PD models for accurately simulating the steel and concrete materials, and build refined PD models of crucial structural components (e.g., beam-columns, frame joints and shear walls) based on the PD material models. The component PD models, after verified by experiments, are embedded in and so as to extend the numerical substructure method (NSM) developed by the applicants and co-workers, in order to establish a new multi-scale analysis method for seismic damage evolution study of practical engineering problems. The newly developed method can scientifically and accurately study the whole damage process of large-scale complete structures. It combines the advantages of PD and NSM for accurately simulating the mesoscopic behaviors (e.g., deforming, cracking and breaking) and efficiently analyzing the models with different refinements simultaneously, to solve the contradiction between accuracy and efficiency. The method not only makes possible the multi-scale refinement analysis of high-rise reinforced concrete structures, but also can be directly applied to other types of large structures for solving broader and diversified engineering problems, with important academic value and broad application prospects.