Blind Prediction of the Response of the Hualien Model to Forced Vibration Tests

花莲模型对受迫振动试验响应的盲预测

• 批准号: 9315680
• 负责人: J Luco
• 金额: $ 4.27万
• 依托单位: University of California-San Diego
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 1993
• 资助国家: 美国
• 起止时间: 1993-09-01 至 1994-12-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9315680&HistoricalAwards=false
• 关键词: Blind; Prediction; Response; Hualien; Model

9315680 Luco This research project is in response to a critical need to validate the mathematical models and computer codes that are used to calculate the dynamic response of important structures for those cases in which significant interaction occurs between the structure and the surrounding soil: In this case through the "blind" prediction of the dynamic response of the Hualien, Taiwan, large-scale model nuclear reactor power plant containment structure during forced vibration tests. (A blind prediction is one in which the prediction is made without knowing in advance what the result should be.) These tests are being conducted by a consortium of organizations, including the Electric Power Research Institute (EPRI), the Nuclear Regulatory Commission, and institutions from Taiwan, Japan, Korea and France. The three tasks are: (1) Comparisons of observed data with earlier predictions for the response of the containment model, prior to backfill of the soil surrounding the foundation, are used to test the computer programs employed, and to improve the mathematical models for the structure and the soil. (2) Blind predictions are made for the response of the structure during forced vibration tests, after backfill of the soil surrounding the foundation. (3) The prediction are compared with observations (which are to be released by EPRI only after the blind predictions have been properly recorded) for an overall assessment of the current capability to model the dynamic response of structures partially embedded in medium strength soils and subjected to external forces. Funding for this project is a collaboration between the Nuclear Regulatory Commission and the National Science Foundation. ***

9315680 Luco本研究项目是为了满足验证数学模型和计算机代码的迫切需要，这些模型和代码用于计算重要结构的动态响应，用于结构与周围土壤之间发生重大相互作用的情况：本文通过对台湾花莲大型模型核反应堆电站安全壳结构在强迫振动试验中的动力响应进行“盲”预测。 （盲预测是在事先不知道结果的情况下进行预测的预测。） 这些测试是由一个组织联盟进行的，包括电力研究所（EPRI），核管理委员会以及台湾，日本，韩国和法国的机构。 这三项任务是： (1)比较观测数据与早期预测的反应的遏制模型，回填前的土壤周围的基础，被用来测试所采用的计算机程序，并改善数学模型的结构和土壤。 (2)盲预测的结构在强迫振动试验期间的响应，回填后的土壤周围的基础。 (3)将预测结果与观测结果进行比较（EPRI仅在正确记录盲预测后发布），以全面评估部分嵌入中等强度土壤中并承受外力的结构的动态响应模型的当前能力。 该项目的资金由核管理委员会和国家科学基金会合作提供。 ***