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大型桥梁施工预测控制系统研究
引用本文: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.
作者姓名:何雄君  范立础  李丽平  邵吉林
作者单位:1. 同济大学,桥梁工程系,上海,200092;武汉理工大学,交通学院,湖北,武汉,430063
2. 同济大学,桥梁工程系,上海,200092
3. 中国地质大学,工程学院,湖北,武汉,430074
4. 武汉理工大学,交通学院,湖北,武汉,430063
基金项目:湖北省自然科学基金;湖北省交科教项目;湖北省武汉市青年科技"晨光计划"项目
摘    要:为了保证实际施工中结构各节段在构形和受力状态两方面逼近施工节段合理状态,避免事故发生,确保工程高效、安全、优质,基于归一化映射规则,研究灰因和白果,提出了适应任意灰序列的灰预测模型NGM(1,1);研究遗传算法的随机摄动法,提高向前滚动优化效率;研究强度、稳定性的同步分析技术,保证施工过程强度、稳定性安全。在此基础上,论述了大型桥梁施工控制系统的理论特色,以实例说明了其应用,论证了其正确性。

关 键 词:桥梁工程  施工预测控制系统  遗传算法的随机摄动法  设计节段合理状态  施工节段合理状态  灰模型NGM(1  1)
文章编号:1001-7372(2006)01-0053-05
收稿时间:2005-04-17
修稿时间:2005年4月17日

Study of Prediction Control System for Construction of Bridges with Long Spans
HE Xiong-jun,FAN Li-chu,LI Li-ping,SHAO Ji-lin.Study of Prediction Control System for Construction of Bridges with Long Spans[J].China Journal of Highway and Transport,2006,19(1):53-57.
Authors:HE Xiong-jun  FAN Li-chu  LI Li-ping  SHAO Ji-lin
Institution:1. Department of Bridge Engineering, Tongji University, Shanghai 200092, China; 2. School of Transportation, Wuhan University of Technology, Wuhan 430063, Hubei, China; 3. School of Engineering, China University of Geosciences, Wuhan 430074, Hubei, China
Abstract:To ensure all segments under construction to approach corresponding construction segmental reasonable states in both configuration and mechanics states and good behavior of structure after completion,escaping from all kinds of accidents in whole process of construction with high efficiency,safety,excellent quality of engineering achieved,the grey prediction model NGM(1,1) was proposed to fit prediction of any raw grey series by studying grey causes and whitening results based on the normalized mapping rules;random perturbation method of genetic algorithms was proposed to raise efficiency of forward rolling optimization;simultaneous analysis of strength and stability was carried out to ensure safety of strength and stability.Based on these,the construction control system with its theory characteristics was expounded and its application was demonstrated by a practical example.
Keywords:bridge engineering  prediction control system for construction  random perturbation method of genetic algorithm  design segmental reasonable state  construction segmental reasonable state  grey model NGM(1  1)
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