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Research On Bridge Active Anti-collision Of Navigable River In Mountain Areas

Posted on:2014-07-05Degree:MasterType:Thesis
Country:ChinaCandidate:X ZhouFull Text:PDF
GTID:2252330401487013Subject:Traffic and Transportation Engineering
Abstract/Summary:PDF Full Text Request
In recent years, with the rapid development of China’s economy and the growingdemand for traffic infrastructure, structures blocking, crossing or bordering a riverchannel are increasing. The bridge buildings greatly facilitate transportation on landand promote local economy, but it increases the difficulty and safety risk of shipnavigation, and may cause numerous ship-bridge collision accidents. According toincomplete statistics, since1960, the destroyed bridges from ship-bridge collision aremore than35, while the number of ship-bridge collision accidents has exceeded morethan200. Therefore, it is of great economic and social value to study the bridgeanti-collision problems of mountain navigable rivers.This paper mainly studies the bridge active anti-collision problem, and proposesthe ship bridge collision warning, supervision and monitoring measures from the ship,ship operators and management angles. It begins with analysis of navigableenvironment of mountain navigable rivers, then studies its characteristics and impacton ship safe navigation, next analyzes the causes of the domestic and foreignship-bridge collision accidents to find out the risk factors that could cause theship-bridge accidents. These risk factors and risk analysis can be used to establish riskassessment system, by which risk probability of ship-bridge collision can becalculated. Based on the collision probability, it can establish active ship-bridgecollision avoidance system and propose the ship-bridge collision early warningmeasures. Finally, carry on ship trial on active anti-collision warning algorithm andmake a strategic decision based on fuzzy neural network.The conclusion of this paper can provide effective management and controlreference and basis of navigation safety in mountain navigable river for the maritimeadministration.
Keywords/Search Tags:Ship-bridge collision accidents, risk assessment, active collision avoidance, fuzzy neural network, early-warning system
PDF Full Text Request
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