A New Technique for Seismic Analyses of Nonlinear System

非线性系统地震分析新技术

• 批准号: 8901261
• 负责人: Jackson C.S. Yang
• 金额: $ 4.49万
• 依托单位: University of Maryland, College Park
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 1989
• 资助国家: 美国
• 起止时间: 1989-01-01 至 1990-04-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=8901261&HistoricalAwards=false
• 关键词: New; Technique; Seismic; Analyses; Nonlinear

Most of the techniques used in solving engineering problems such as system identification are valid for linear systems. However, in certain engineering applications on nonlinear systems one must consider nonlinear effects. In addition input loading on some systems such as soil or building, offshore platforms etc., can be viewed as random and are usually difficult to predict or characterize by traditional means. This project is to develop a general system identification approach to characterize and analyze nonlinear systems with unknown and unmeasured random input. The proposed studies will extend and verify the effectiveness of the random decrement technique to cover the non-stationary cases. Such applications make it possible to use this procedure to analyze nonlinear system problems. In addition the nonlinear form of the system and system signature will be identified from the measured system responses without knowing the random input. The effectiveness of this general approach will be investigated by laboratory simulation. The new technique developed would improve our ability to investigate and predict the seismic response of soil and building taking into account the nonlinear effect of the soil-building system.

用于解决工程问题（例如系统标识）的大多数技术对于线性系统有效。 但是，在非线性系统上的某些工程应用中，必须考虑非线性效应。 另外，在某些系统（例如土壤或建筑物，离岸平台等）上输入加载可以被视为随机，通常很难通过传统手段进行预测或表征。 该项目是开发一种通用系统识别方法，以表征和分析未知和未衡量的随机输入的非线性系统。 拟议的研究将扩展和验证随机减少技术涵盖非平稳情况的有效性。 这样的应用程序使使用此过程可以分析非线性系统问题。 另外，系统和系统签名的非线性形式将从测得的系统响应中识别出，而不知道随机输入。 这种一般方法的有效性将通过实验室模拟进行研究。 开发的新技术将提高我们研究和预测土壤地震反应和建筑物的地震反应的能力，并考虑到土壤建造系统的非线性效应。