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Combined partial coefficient of shipbridgecollision loads based on reliability(PDF)

长安大学学报（自然科学版）[ISSN:1006-6977/CN:61-1281/TN]

Issue:
2018年06期
Page:
155-174
Research Field:
桥梁与隧道工程
Publishing date:

Info

Title:
Combined partial coefficient of shipbridgecollision loads based on reliability
Author(s):
ZHOU Mi;  ZHAO Wei;  WEN Jie;  JIANG Yongcun
(1. Key Laboratory of Old Bridge Detection and Reinforcement Technology of Ministry of Transportation,Changan University, Xian 710064, Shaanxi, China; 2. Guangdong River Highway Co., Ltd.,Zhongshan 528414, Guangdong, China)
Keywords:
bridge engineering;  ship bridge collision;  Turkstras principle;  FAM method;  reliability index;  partial coefficient
PACS:
-
DOI:
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Abstract:
For accidental ship collisions, the existing bridge design code has used the corresponding partial coefficient of combination. In order to analyze the reliability index level of the bridge structure under the partial coefficient given by the current specification, and find the relationship between load combination partial coefficient and bridge structural reliability index, it was necessary to study the accidental load combination of bridgeship collision in depth. Based on a finite elementneural networkMonte Carlo method and limit state design method, the reliability index of a bridge structure under different load partial coefficients was calculated. Taking the No.1 Lianjiang Bridge as the main bridge supporting project, finite element software was used to establish the fullbridge space finite element dynamic model, and the load shock spectrum was used to simulate the dynamic time history of a ship colliding with a pier. Turkstras principle was served as a theoretical basis for the load combination to determine the failure mode of the structure under ship impact and vehicle loads. The load and load effect samples of the ship collision, the vehicle, and the combination of ship collision and vehicle were extracted, and the BP neural network was trained on these samples. When the training results met the accuracy requirements, the partial coefficient ψCV of the ship impact load was taken as 1.0, and the partial factor ψLL of the vehicle load was taken as 0.5, 0.6, 0.7, 0.8, 0.9, and 1.0. The Monte Carlo method was used to calculate the failure probability and reliability index of the bridge structure under different partial coefficients. the reliability index under different partial coefficients and the target reliability index were compared. The results show that a ship collision load partial coefficient is 1.0 and a vehicle load partial coefficient is 0.8, which obtained from a continuous rigidframe bridge with a span of less than 150 m. The finite elementneural networkMonte Carlo method can quickly and easily solve the reliability index of the bridge structure with accidental ship collision, and establish the relationship between the reliability index β, ship collision load partial coefficient ψCV, and the vehicle load partial coefficient ψLL. The suggested value of the load component coefficient is also given. This method provides a basis for the accidentalshipcollision combination design and the risk assessment of bridgeship collisions. 9 tabs, 11 figs, 24 refs.

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Last Update: 2018-12-18