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多因子预测模型在连续梁桥中的应用 被引量:3

A multifactor forecasting model for continuous beam bridges
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摘要 为解决在连续梁桥施工过程中,对施工过程中的挠度和应力进行预测和控制这一问题。建立SCGMmv(1,h)是基于均值生成时序的多因子预测模型。将SCGMmv(1,h)预测模型与具体工程相结合,利用挠度与应力的相互关联,预测挠度值与应力值,并与GM(1,1)预测模型的预测值进行对比。实例结果表明,SCGMmv(1,h)多因子预测模型在连续梁桥施工过程中,对挠度与应力的预测是可行有效的。 It is necessary to predict and control deflection and stress in continuous beam bridge construction. SCGMmv (1, h) is a multifactor forecasting model for a time series based on the mean values. For a specific project, by using the association between deflection and stress, the SCGMmv (], h) forecasting model is employed to obtain forecast values of deflection and stress, which are compared with the forecast values of the GM (1,1) prediction model. The results show that the SCGMmv (1, h) multifactor forecasting model is feasible and effective for deflection and stress prediction in continuous beam bridge construction.
出处 《重庆大学学报(自然科学版)》 EI CAS CSCD 北大核心 2009年第3期353-356,362,共5页 Journal of Chongqing University
基金 国家自然科学基金资助项目(60773190 60802002) 湖北省科技攻关资助项目(2007AA101C47) 湖北省教育厅基金资助项目(D200618001)
关键词 连续梁桥 施工控制 挠度 应力 SCGMmv(1 h)预测模型 continuous beam bridge construction control deflection stress SCGMmv(1, h) forecasting model
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  • 1何雄君,范立础,李丽平,邵吉林.大型桥梁施工预测控制系统研究[J].中国公路学报,2006,19(1):53-57. 被引量:19
  • 2姚波,郑青青.大跨径预应力连续梁桥悬臂浇筑施工监控[J].山西建筑,2007,33(2):269-270. 被引量:6
  • 3王培金,盛洪飞,赵尚栋.大跨连续刚构桥预应力混凝土箱梁的长期挠度预测探讨[J].公路交通科技,2007,24(1):87-89. 被引量:42
  • 4BAI X P, WANG H M. A new grey decision dynamic model based on cybernetics knowledge for complex system optimization analyzing and its practical application [J]. Kybernetes, 2008, 37(9/10):1218-1226.
  • 5LIN Y H, LEE P C. Novel high-precision grey foreasting model [J ]. Automation in Construction, 2007 (16) :771-777.
  • 6CHEN M Y. System cloud and its grey model[C]// Proceedings of the 4th Japanese Sino Sapporo International Conference on Computer Applications. Japan: Hokkaido University, 1990:38-41.
  • 7CHEN M Y, CHEN W Z, CHEN Z J. Grey state model and forecasting control of complicated systems[J]. Systems Science, 2005, 31(3):37-47.
  • 8CHEN Z J, CHEN Q E, CHEN W Z, et al. Grey linear programming[J]. Kybernetes, 2004, 33 (2): 238-246.
  • 9CHEN W Z, CHEN Z J, CHEN Q E, et al. Approaches to grey prediction and control of environmental systems[C]//Processings of Eighteenth International Conference on Systems Engineering. Las Vegas: [s. n. ], 2005:152-157.
  • 10CHEN Z J, CHEN W Z, CHEN Q E, et al. "Poor" signal processing and grey modeling technique [C]// Proceedings of Eighteenth International Conference on Systems Engineering. Las Vegas: [s. n. ], 2005 : 251-256.

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