Development of an Intelligent Sub-structuring Loading-test System for Large-scale Frames

大型框架智能子结构加载测试系统的研制

• 批准号: 04555138
• 负责人: OHI Ken-ichi
• 金额: $ 7.17万
• 依托单位: University of Tokyo
• 依托单位国家: 日本
• 项目类别: Grant-in-Aid for Developmental Scientific Research (B)
• 财政年份: 1992
• 资助国家: 日本
• 起止时间: 1992 至 1993
• 项目状态: 已结题
• 来源: https://kaken.nii.ac.jp/grant/KAKENHI-PROJECT-04555138/
• 关键词: Sub-structuring Technique; Hybrid Analysis; Large-scale Frame; Application of Neural Network; On-line Test; 部分構造; 大規模構造

1. An intelligent loading-test system was developed by using hybrid sub-structuring technique. This system provides a useful tool to investigate the inelastic behaviors of large-scale frame.2. Three types of flexible steel frame models were supposed, and they were tested by using the developed test system. The reliability of the system was checked too.3. One of the characteristics of flexible frames is that the moment gradient along the column. A special test device is designed is changeable. A special test device used to test the columns under such a stress condition was designed.4. The procedure of removal of the unbalanced forces produced during test was proposed. Four different predictors were tried during the tests and the results were compared after tests. (1) The simple predictor with the shortest time-consuming is elastic beam-column model ; however the effect to remove unbalanced force is not so good as the other models. (2) Multi-spring inelastic beam-column predictor makes unbalanced forces minimized but with the longest demand of time. An alternative is the use of a two-component bilinear model. (4) Neural network predictor is first tried in on-line test.

1.采用混合子结构技术开发了智能加载测试系统。该系统为研究大型框架的非弹性行为提供了有用的工具。 2．假设了三种类型的柔性钢框架模型，并利用开发的测试系统对其进行了测试。并对系统的可靠性进行了检验； 3．柔性框架的特点之一是力矩沿柱梯度。设计了专用的测试装置，可更换。设计了一种专用试验装置，用于对柱体在这种应力条件下进行试验。 4．提出了消除试验过程中产生的不平衡力的程序。在测试期间尝试了四种不同的预测变量，并在测试后对结果进行了比较。 (1) 耗时最短的简单预测器是弹性梁柱模型；但消除不平衡力的效果不如其他型号。 (2)多弹簧非弹性梁柱预测器使不平衡力最小化，但时间要求最长。另一种方法是使用二分量双线性模型。 (4)神经网络预测器首次在线测试。

项目成果

C.ZAVALA: "Pseudo-dynamic substructuring hybrid test on flexible frames" Bulletin of Earthquake Resistant Structure Research Center. 27. (1994)

C.ZAVLA：“柔性框架的拟动力子结构混合试验”抗震结构研究中心通报。

C.Zavala: "Neural network model in substructuring hybrid simulation" Summary of Technical Papers, AIJ. (1993)

C.Zavala：“子结构混合仿真中的神经网络模型”技术论文摘要，AIJ。

K.OHI: "Neural network model in hybrid earthquake response simulation" SEISAN-KENKYU. Vol.45, No.8. 36-39 (1993)

K.OHI：“混合地震响应模拟中的神经网络模型”SEISAN-KENKYU。

C.ZAVALA: "Neural network predictor in hybrid earthquake response:performance and applicability" 構造工学論文集. 40B. (1994)

C.ZAVLA：“混合地震响应中的神经网络预测器：性能和适用性”结构工程杂志 40B (1994)。

C.Zavala: "Neural network predictor in hybrid earthquake response : performance and applicability" Journal of Struc.Engng.Vol.40b. (1994)

C.Zavala：“混合地震响应中的神经网络预测器：性能和适用性”Struc.Engng.Vol.40b 杂志。