Prediction method of ship impacting bridge based on least square support vector machines

Luo Wei-lin; Zou Zao-jian

Article Contents

Article Navigation > Journal of Traffic and Transportation Engineering > 2007 > 7(4): 30-33

Luo Wei-lin, Zou Zao-jian. Prediction method of ship impacting bridge based on least square support vector machines[J]. Journal of Traffic and Transportation Engineering, 2007, 7(4): 30-33.

Citation:

Luo Wei-lin, Zou Zao-jian. Prediction method of ship impacting bridge based on least square support vector machines[J]. Journal of Traffic and Transportation Engineering, 2007, 7(4): 30-33.

Luo Wei-lin, Zou Zao-jian. Prediction method of ship impacting bridge based on least square support vector machines[J]. Journal of Traffic and Transportation Engineering, 2007, 7(4): 30-33.

Citation:

Luo Wei-lin, Zou Zao-jian. Prediction method of ship impacting bridge based on least square support vector machines[J]. Journal of Traffic and Transportation Engineering, 2007, 7(4): 30-33.

PDF( 438 KB)

Prediction method of ship impacting bridge based on least square support vector machines

Luo Wei-lin^1
,,
Zou Zao-jian^{1, 2
,}

1.
School of Naval Architecture, Ocean and Civil Engineering, Shanghai Jiaotong University, Shanghai 200030, China
2.
State Key Laboratory of Ocean Engineering, Shanghai Jiaotong University, Shanghai 200030, China

More Information

Author Bio:
Luo Wei-lin (1973-), male, doctoral student of engineering, +86-21-62933645, wlluo@sjtu.edu.cn

Zou Zao-jian (1956-), male, EngD, professor, +86-21-62933645, zjzou@sjtu.edu.cn
Received Date: 2007-01-13
Publish Date: 2007-08-25

Abstract

Abstract

In order to improve the safety of bridge and ship, an intelligent prediction method of the probability on ship impacting bridge was proposed based on least square support vector machines.The transverse span of piers, current velocity, current direction relative to bridge and waterway curvature were taken as the inputs of the method, while the output is the accident probability of pervoyage, some data samples of 12 bridges over Yangtze River and Heilongjiang River during the periods of flood, normal and low water respectively were chosen, the method was validated by the data, and the prediction results of neural network method and the proposed method were compared.Comparison result shows that the method can accurately predict the probability of ship impacting bridge, its prediction probability is a globally optimal resolution, and its convergent velocity and learning efficiency are better than that of neural network method.
- ship impacting bridges,
- probability analysis,
- prediction of collision,
- support vector machines

FullText(HTML)

References(13)

References

[1]	Larsen O D. Ship collision with bridges—the interaction between vessel traffic and bridge structures[R]. Zurich: International Association of Bridge and Structural Engineering, 1993.
[2]	Knott MA, Larsen O D. Guide specification and commentary for vessel collision design of highway bridges[R]. Virginia: Depart ment of Transportation, Federal Highway Administration, 1990.
[3]	Xiang Hai-fan, Fan Li-chu, Wang Jun-jie. State of art of ship collision designfor bridges andfuture research[J]. Journal of Tongji University: Natural Science, 2002, 30(4): 386-392. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-TJDZ200204001.htm
[4]	戴彤宇. 船撞桥及其风险分析[D]. 哈尔滨: 哈尔滨工程大学, 2002.
[5]	Luo Lin-ge, Cao Ying-hong, Chen Guo-yu, et al. Calculation method of force on vessel impacting bridge[J]. Journal of China and Foreign Highway, 2006, 26(5): 78-81. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-GWGL200605033.htm
[6]	Liu Jian-cheng, Gu Yong-ning, Hu Zhi-qiang. Simulation of ship-bridge collision based on FE model of vessel impact forces on bridges[J]. Journal of Ship Mechanics, 2003, 7(3): 107-117.
[7]	Li Sheng-yu, Wang Shu-guang, Liu Wei-qing, et al. Numerical simulations of ship collision with protective devices of bridge pier[J]. Journal of Natural Disasters, 2006, 15(5): 100-106. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-ZRZH200605015.htm
[8]	InCom WG19(Working Group19of the Inland Navigation Commission). Ship collision due to presence of bridges[R]. Belgium: International Navigation Association, 2001.
[9]	Berlin K B. Structural reliability analysis for vessel impact on bridges[D]. Texas: The University of Texas, 2005.
[10]	杨渡军. 桥梁的防撞保护系统及其设计[M]. 北京: 人民交通出版社, 1990.
[11]	Vapnik V N. 统计学习理论[M]. 许建华, 张学工, 译. 北京: 电子工业出版社, 2004.
[12]	Liu De-xin, Wu Zhao-lin, Jia Chuan-ying. Multi-layer and multi-object fuzzy optimization model of main target ship[J]. Journal of Traffic and Transportation Engineering, 2005, 5(1): 49-52. (in Chinese) http://transport.chd.edu.cn/article/id/200501012
[13]	焦李成. 神经网络系统理论[M]. 西安: 西安电子科技大学出版社, 1990.