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040			_aAIKTC-KRRC _cAIKTC-KRRC
100			_914284 _a Peng, Keke
245			_aDynamic Ship-bridge Collision Risk Decision Method Based on Time-Dependent AASHTO Model
250			_aVol.102(1), March
260			_aNew York _bSpringer _c2021
300			_a305-314p.
520			_aOver time, the traffic density increases and the anti-collision capacity of the bridge decreases, the ship-bridge collision risk also changes. In order to dynamically predict the time-dependent ship-bridge collision risk, providing the basis for the design, management and maintenance of the bridge, taking Pinghai Bridge as the engineering background, introducing time factor, a dynamic ship-bridge collision risk decision method based on improved AASHTO model is proposed for the application of risk assessment during the bridge design stage and service stage. Based on AASHTO model, the time factor is introduced. In accordance with the navigation conditions in the bridge area, the annual ship traffic volume and the annual ship traffic densities are statistically counted. In accordance with the variations of the ship volume and ship traffic densities over time, the dynamic aberrance probability is calculated. The dynamic annual impact frequency is obtained by combining the above ship traffic volume, aberrance probability and geometric collision probability. In accordance with the probability of the acceptable criterion, the pier ultimate bridge strength is determined based on the design of the annual collision damage frequency. Considering the ultimate bridge strength attenuation result from concrete carbonation, steel corrosion and foundation scouring, the time-dependent annual collision damage frequency can be estimated. The method proposed in this paper can dynamically predict the collision damage probability of the bridge pier in future service times and has scientific significance and application prospect for the anti-collision design of bridges.
650		0	_94621 _aCivil Engineering
773	0		_dSwitzerland Springer _x 2250-2149 _tJournal of the institution of engineers (India): Series A
856			_uhttps://link.springer.com/article/10.1007/s40030-020-00506-9 _yClick here
942			_2ddc _cAR