为了为精确、高度有效的损坏遇见需求,为基于表演的地震工程应用程序与一个不同物理意思当模特儿,僵硬为增强的水泥(RC ) 的基于降级的损坏模型成员和结构用纤维横梁列元素被开发。在这个模型,为水泥和钢纤维的损坏索引被起始的再装模量和低周期的疲劳法律的降级定义。然后,节,成员,故事和结构损坏被部分弯曲僵硬的降级评估,杆结束弯曲僵硬,故事侧面的僵硬和结构侧面的僵硬分别地。损坏模型被在 OpenSees 的产量读在 Matlab 认识到。到 RC 列和一个 RC 框架的损坏模型的应用程序显示损坏模型能够精确地预言损坏的大小,位置,和进化过程,并且比内部故事的飘移更精确估计故事损坏。另外,没有介绍 weighting 系数或力量排水量关系,损坏模型在各种各样的层次建立在损坏索引之间的一个靠近的连接。模型的开发完善了 OpenSees 的损坏评价函数,打为在受到地震装载的大规模结构的各种各样的层次的损坏评价的一个稳固的基础。
To meet the demand for an accurate and highly efficient damage model with a distinct physical meaning for performance-based earthquake engineering applications, a stiffness degradation-based damage model for reinforced concrete (RC) members and structures was developed using fiber beam-column elements. In this model, damage indices for concrete and steel fibers were defined by the degradation of the initial reloading modulus and the low-cycle fatigue law. Then, section, member, story and structure damage was evaluated by the degradation of the sectional bending stiffness, rod-end bending stiffness, story lateral stiffness and structure lateral stiffness, respectively. The damage model was realized in Matlab by reading in the outputs of OpenSees. The application of the damage model to RC columns and a RC frame indicates that the damage model is capable of accurately predicting the magnitude, position, and evolutionary process of damage, and estimating stow damage more precisely than inter-story drift. Additionally, the damage model establishes a close connection between damage indices at various levels without introducing weighting coefficients or force-displacement relationships. The development of the model has perfected the damage assessment function of OpenSees, laying a solid foundation for damage estimation at various levels of a large-scale structure subjected to seismic loading.