Ship bridge collision inrivertraffic, analysis and design practice

Kunz, Claus

doi:10.1201/9780203739778-2

Cited by 10 publications

(7 citation statements)

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“…Employing a statistical method, the vessel-bridge collision possibility was gained in 0.7 × 10 −6 ∼ 59 × 10 −6 in six Europe main watercourses (including rivers and straits) [12]. The commonly used probability models for the vessel-bridge collision are AASHTO model [13], European specification model [14], KUNZI model [15], and IABSE model [16]. Numerical simulations carried out by Chen et al [17] showed that the energy transform, distortion, and stress distribution in the bridge under collision fitted well with the data from field test.…”

Section: Introductionmentioning

confidence: 99%

Running Safety of Trains under Vessel-Bridge Collision

Deng

Wang

et al. 2015

Shock and Vibration

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To optimize the sensor placement of the health monitoring system, the dynamic behavior of the train-bridge system subjected to vessel-collision should be studied in detail firstly. This study thus focuses on the characteristics of a train-bridge system under vessel-bridge collision. The process of the vessel-bridge collision is simulated numerically with a reliable finite element model (FEM). The dynamic responses of a single car and a train crossing a cable-stayed bridge are calculated. It is shown that the collision causes significant increase of the train’s lateral acceleration, lateral wheelset force, wheel unloading rate, and derailment coefficient. The effect of the collision on the train’s vertical acceleration is much smaller. In addition, parametric studies with various train’s positions, ship tonnage, and train speed are performed. If the train is closer to the vessel-bridge collision position or the ship tonnage is larger, the train will be more dangerous. There is a relatively high probability of running danger at a low speed, resulting from longer stay of the train on the bridge. The train’s position, the ship tonnage, and the train speed must be considered when determining the most adverse conditions for the trains running on bridges under vessel-bridge collision.

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Section: Introductionmentioning

confidence: 99%

Running Safety of Trains under Vessel-Bridge Collision

Deng

Wang

et al. 2015

Shock and Vibration

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“…When the distance between two wharves is less than this threshold, the two wharves are considered to be in the same wharf group, and their probability of oil spill accident within the wharf group is greater than that outside the wharf group. As Kunz C suggests [21], the stroke distance of large ships after berthing is about 550 m, and thus this paper decides that when the distance between wharves is less than 2 km and the wharves are distributed densely, they belong to the same wharf group. The prim algorithm [22] is adopted to construct the minimum spanning tree of wharves for dividing the wharf groups.…”

Section: Division Of Wharf Groupsmentioning

confidence: 89%

“…As shown above, the maximum value of the risk index at the wharf is 4, and thus the ratio of the wharf risk index to 4 can be utilized to indirectly represent the relative probability of command operation errors at a single wharf. As Kunz C suggests [21], the stroke distance of large ships after berthing is about 550 m, and hence this paper sets: the distance between wharves is less than 2 km, and the wharves are distributed densely. If a command operation error occurs at one of the wharves, collisions may occur between ships berthed at the wharves and wharves adjacent to them, triggering the accident chain between wharves.…”

Section: Oil Spill Amountmentioning

confidence: 94%

Environmental Risk Assessment of the Zhengrunzhou Water Source under the Influence of Oil Spill Accidents at the Wharf Group

Zhou

2022

Sustainability

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To compensate for the research defects of strong subjectivity in determining oil spill amount, insufficient consideration of wharf distribution, and incomplete indexes for reflecting the influence degree of oil spill accidents on water sources, and to enhance the supervision efficiency of the supervision department, this paper constructs a risk assessment system of water sources under the influence of the wharf group. The system includes a wharf group division method considering the wharf distribution situation; the calculation method of oil spill amount at wharves considering the oil tank capacity of main ship types and the production supervision risk at the wharves; the calculation method of the oil spill amount at the wharf group considering the wharf number, distribution density, production supervision risk and wharf oil spillage; the determination method for the influence degree of oil spill at the wharf group on the water sources and judgment method of supervision level at the wharf group, which takes the arrival time of oil slicks, the duration of over-standard petroleum concentration and the maximum over-standard multiple of petroleum concentration at the water intake as indexes; the method of determining the risk of oil spill accidents at the water source considering the cumulative effect of oil spill at the wharf group on the risk of the water sources; and the environmental risk assessment method of water sources considering oil spill accident risk and the anti-risk ability. Applying this system to the environmental risk assessment of the Zhengrunzhou water source in Zhenjiang City, we discovered that the flow field, wind field, oil spill location and oil spill amount were correlated with the influence degree of oil spill accidents on water sources, for which the flow field demonstrated the strongest correlation, while the wind field presented the weakest. The supervision level of the wharf group is mainly sub-key or non-key levels, but the level of the wharf group SD07 is approximate to the key supervision level during rising tide. Due to the strong anti-risk ability of the Zhengrunzhou water source, the environmental risks of the Zhengrunzhou water source under different working conditions are scarcely different and belong to the medium-risk level.

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“…is section, therefore, gives the probabilistic hazard analysis of ship-bridge collision based on existing mathematical models. e AASHTO model [7] and KUNZI model [8] are the widely used methods to calculate the probability of shipbridge collision. e parameters of the AASHTO model are determined empirically based on the US inland river statistics, so it is vague whether the parameters could be used for the analysis of ship-bridge collision over the Chinese inland river.…”

Section: Probabilistic Hazard Analysismentioning

confidence: 99%

“…American Association of State Highway and Transportation Officials (AASHTO) wrote the guide specification and commentary for vessel collision design of highway bridges [7], establishing the framework of probabilistic risk assessment of ship-bridge collision. Based on the relative position of ship and bridge before collision occurred, KUNZI [8] developed a probabilistic model with two random parameters for evaluating the ship-bridge collision. Given the general trend of the construction of waterways and bridges in China, X. H. Fan and L. C. Fan [9] suggested conducting systematic research on the theory of ship-bridge collision based on a risk-based design concept.…”

Section: Introductionmentioning

confidence: 99%

A New Approach for Probabilistic Risk Assessment of Ship Collision with Riverside Bridges

Wei

Liu

Luo

et al. 2020

Advances in Civil Engineering

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The configuration of riverside bridges, such as the spatial distribution, wading status, and ship accessibility of piers, is generally different from river-crossing bridges. Thus, the ship collision risk of riverside bridges cannot be assessed using conventional assessment methods applicable to river-crossing bridges. The aim of this paper is, therefore, to develop a new probabilistic method for assessing the risk of ship collision with riverside bridges. First, a fully probabilistic framework for assessing the ship-bridge collision risk is presented. Second, a new probabilistic hazard analysis model of ship collision with riverside bridges is proposed, based on a combined study of riverside bridge characterization and an improved yaw ship collision model. A simplified empirical model for evaluating ship-bridge collision force is then adopted, and the probabilistic distribution of the collision force is obtained based on Monte Carlo simulation. Furthermore, finite element simulation is conducted to estimate the collapse probability of piers. Finally, the method developed is applied to the probabilistic assessment of ship collision risk with riverside bridges located at Shabin Road, Chongqing, China. The results show that the risk of ship-bridge collision at Shabin Road is low to moderate. The example demonstrated indicates that the methodology introduced in this paper is capable of assessing the ship-bridge collision risk in a concise and rapid way.

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Ship bridge collision inrivertraffic, analysis and design practice

Cited by 10 publications

References 0 publications

Running Safety of Trains under Vessel-Bridge Collision

Running Safety of Trains under Vessel-Bridge Collision

Environmental Risk Assessment of the Zhengrunzhou Water Source under the Influence of Oil Spill Accidents at the Wharf Group

A New Approach for Probabilistic Risk Assessment of Ship Collision with Riverside Bridges

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