Research on application of grey system theory in construction monitoring of continuous rigid frame bridge

Research on application of grey system theory in construction monitoring of continuous rigid frame bridge

Yanjie Xue Wei Liu 

Jilin University, The College of Construction Engineering, Changchun 133010, China

Corresponding Author Email:
31 December 2017
| Citation



The continuous rigid frame bridge has been widely used in practical engineering, so it has high requirement for its linear control. The Grey System Theory method is applied to the adjustment and prediction of box girder linear control in the construction control of continuous rigid frame bridge. The method is applied in the construction process of 72 + 133 + 72 m continuous rigid frame of Manjiang Bridge. According to the monitoring data, the Grey System Theory model is used to predict, and according to the prediction results and actual construction measurement results, although the measured value is different from the theoretical value, basically, they are consistent with higher prediction accuracy, which proves the good application effect of the Grey System Theory in construction monitoring.


Continuous Rigid Frame, Grey Theory, Construction Monitoring

1. Overview
2. Grey Prediction Control System and the Establishment of Grey Model
3. Prediction Model of Grey System
4. Engineering Application
5. Conclusions

[1] Xiang M.S., Zhang S.B. (2002). Construction control technology of long-span prestressed concrete bridge, China Journal of Highway and Transport, pp. 38-42.

[2] Wen W.S. (2008). Continuous rigid construction control of sutong bridge auxiliary bridge, Bridge Construction, pp. 65-69.

[3] Au F.T.K., Wang J.J., Liu G.D. (2003). Control of Renforced Concrete Arch Bridges, Journal of Bridge Engineering ASCE, pp. 39-45.

[4] Xu J.L. (2000). Construction control of large span bridge, China Communications Press, pp. 124-145.

[5] Skaai F., Isoe A., Umeda A. (1991). A new methodology for control of construction accuracy in cable-stayed bridges, Shanghai: TonjiUnivesrity press, pp. 26-32.

[6] Zheng P.W., Zhong J.W., Zhu Z.X. (2009). Construction control of large span bridge, Bridge Construction, pp. 9-22.

[7] Luo F.L., Xie B.Z. (2004). Discussion on several problems of prestressed concrete continuous rigid frame bridge, China Highway, pp. 131- 133.

[8] Deng J.L. (1993). Grey control system. Huazhong university of science and technology press, pp. 50-64.

[9] Hu J., Liu Z.F., Xu W.S. (2010). Application of grey system theory in peace avenue overpass bridge, Construction Linear Control, pp. 28-32.

[10] Deng J.L. (1981). IntrduetionIn grey system theory, The Journal of Grey System, pp. 1-24.

[11] Tamura De P.N., Sakeshita.K. (1992). Load forecasting using gery dnyamie model, The Jounral of Grey System, pp. 76-81.

[12] Zhang X.D., Hao T.Z., Li D.C. (2006). The application of gray markov chains in continuous rigid frame bridge construction line control, Journal of Guangxi University (Natural science), pp. 24-27.

[13] Ye J.S. (2014). Principle of structural design: China Communications Press, pp. 16-33.

[14] Yao L.S. (2001). Bridge engineering. China Communications Press, pp. 211-242.

[15] Xiang H.F. (2001). Theory of structural design of higher Bridges, China Communications Press, pp. 100-122.

[16] Dejus T. (2005). Evaluation of word safety control systems in construction, Civil Engineering and Management, pp. 93-98.

[17] Fleming F. (1989). Computer Analysis of Structure System, Mc Graw.Hill, pp. 513-531.

[18] Clark G. (1997). The UK Industry’s Proposals for Improved Specifications and Standards for Post-tensioned Concrete Bridge, In:Proc.of FIP symposium, I. ondon, pp. 31-44.

[19] Matt P. (1983). Satatus of segmental bridge construction in Europe, PCI Journal, pp. 25-47.

[20] Bakht B. (1985). Bridge ANALYSIS SIMPLIED,. New York: mcgraw-hill Book Company, pp. 127-146.

[21] Xia H.B. (2008). Fuzzy reliability prediction of bearing capacity of servo bridge based on grey markov composite model, Modern Transportation Technology, pp. 124 -128.