Simulation of Progressive Failure in Solids and Structures

固体和结构中渐进失效的模拟

• 批准号: 8717097
• 负责人: Kaspar Willam
• 金额: $ 19.16万
• 依托单位: University of Colorado at Boulder
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 1988
• 资助国家: 美国
• 起止时间: 1988-05-15 至 1989-10-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=8717097&HistoricalAwards=false
• 关键词: Simulation; Progressive; Failure; Solids; Structures

This research program addresses the prevalent issues of failure computation with particular emphasis on material nonlinearities. The main focus will be on moving discontinuities either as localized shear bands or as macroscopic fractures. Three primary areas are: Development of "Moving Grid Techniques" to trace the formation of discontinuities that emerge from material failure, Formulation and incorporation of on-line "Interactive Graphics", Computational simulation of mesomechanical failure (progressive damage of internal material structure), macroscopic fracture (cracking of a full-scale prototype). Reliable failure predictions are among the most pressing issues related to accurate safety prediction of new and existing structures. In fact, questions such as maximum collapse load and the underlying failure mechanism require robust algorithm to predict. This research project will develop the necessary algorithm to resolve the failure mechanism(s) and at the same time follow the collapse of the structure.

这项研究计划解决了失败的普遍问题 计算，特别强调材料的非线性。 的 主要重点将放在移动的不连续性，无论是作为局部剪切 带或宏观断裂。 三个主要领域是： 开发“移动网格技术”，以追踪 材料失效导致的不连续性， 制定和纳入在线“交互式图形”， 细观力学破坏的计算机模拟（渐进式 内部材料结构损坏）、宏观断裂 （全尺寸原型的开裂）。 可靠的故障预测是最紧迫的问题之一 这涉及到对新建和现有结构的准确安全预测。 事实上，诸如最大倒塌荷载和底层 故障机制需要鲁棒的算法来预测。 本研究 项目将开发必要的算法来解决故障 同时，也是一个很大的挑战。 结构