CFD Simulation of the Safety of Unmanned Ship Berthing under the Influence of Various Factors

The safety of unmanned ship berthing is of paramount importance. In order to explore the influence of wind and wave coupling, a berthing computational fluid dynamics (CFD) model was established, and the characteristics of speed field, pressure field, and vortex have been obtained under different spe...

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Veröffentlicht in:Applied sciences 2021-08, Vol.11 (15), p.7102
Hauptverfasser: Xiao, Guoquan, Tong, Chao, Wang, Yue, Guan, Shuaishuai, Hong, Xiaobin, Shang, Bin
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container_issue 15
container_start_page 7102
container_title Applied sciences
container_volume 11
creator Xiao, Guoquan
Tong, Chao
Wang, Yue
Guan, Shuaishuai
Hong, Xiaobin
Shang, Bin
description The safety of unmanned ship berthing is of paramount importance. In order to explore the influence of wind and wave coupling, a berthing computational fluid dynamics (CFD) model was established, and the characteristics of speed field, pressure field, and vortex have been obtained under different speed, wind direction, and the quay wall distances. The results show that the total resistance of the hull against the current can be about 1.60 times higher compared to the downstream resistance, water flow resistance is the dominant factor, accounting for more than 80% of the total resistance. When changing the distance between ship and shore at fixed speed, the results found that the torque is small, but the growth rate is very large when driving below 2 m/s, and the torque growth rate is stable above 2 m/s. Based on the established coupling model, a multi-factor berthing safety study is carried out on an actual unmanned ship. The results show that when the speed increases from 4 m/s to 12 m/s, the curve slope is small, the resistance increases from 3666 N to 18,056 N, and the rear slope increases. The pressure increases with the speed, and when the speed is 24 m/s, the maximum pressure is up to 238,869 Pa. When the wind speed is fixed, the vertical force of the unmanned ship increases first and then decreases to zero and then reverses the same law change, and the maximum resistance is about 425 N at the wind angle of about 45 degrees; At 90 degrees, the maximum lateral force on an unmanned boat is about 638 N. The above results can provide control strategy for unmanned ship berthing safety, and provide theoretical basis for unmanned ship route planning and obstacle avoidance, safety design, etc.
doi_str_mv 10.3390/app11157102
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In order to explore the influence of wind and wave coupling, a berthing computational fluid dynamics (CFD) model was established, and the characteristics of speed field, pressure field, and vortex have been obtained under different speed, wind direction, and the quay wall distances. The results show that the total resistance of the hull against the current can be about 1.60 times higher compared to the downstream resistance, water flow resistance is the dominant factor, accounting for more than 80% of the total resistance. When changing the distance between ship and shore at fixed speed, the results found that the torque is small, but the growth rate is very large when driving below 2 m/s, and the torque growth rate is stable above 2 m/s. Based on the established coupling model, a multi-factor berthing safety study is carried out on an actual unmanned ship. The results show that when the speed increases from 4 m/s to 12 m/s, the curve slope is small, the resistance increases from 3666 N to 18,056 N, and the rear slope increases. The pressure increases with the speed, and when the speed is 24 m/s, the maximum pressure is up to 238,869 Pa. When the wind speed is fixed, the vertical force of the unmanned ship increases first and then decreases to zero and then reverses the same law change, and the maximum resistance is about 425 N at the wind angle of about 45 degrees; At 90 degrees, the maximum lateral force on an unmanned boat is about 638 N. The above results can provide control strategy for unmanned ship berthing safety, and provide theoretical basis for unmanned ship route planning and obstacle avoidance, safety design, etc.</description><identifier>ISSN: 2076-3417</identifier><identifier>EISSN: 2076-3417</identifier><identifier>DOI: 10.3390/app11157102</identifier><language>eng</language><publisher>Basel: MDPI AG</publisher><subject>Accuracy ; autonomous berthing algorithm ; Autonomous cars ; Berthing ; berthing safety ; CFD coupling model ; Computational fluid dynamics ; Computer applications ; Driving ability ; Flow resistance ; Fluid dynamics ; Fluid mechanics ; Growth rate ; Hydrodynamics ; Obstacle avoidance ; Pressure ; Real time ; Research methodology ; Resistance factors ; Route planning ; Safety ; Safety engineering ; Ships ; Simulation ; Torque ; Unmanned aerial vehicles ; unmanned ship ; Unmanned vehicles ; Vertical forces ; Water flow ; Wind ; Wind direction ; Wind effects ; Wind speed</subject><ispartof>Applied sciences, 2021-08, Vol.11 (15), p.7102</ispartof><rights>2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). 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Tong, Chao ; Wang, Yue ; Guan, Shuaishuai ; Hong, Xiaobin ; Shang, Bin</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c364t-676df7f0506ee3da4d2efdb40e6298b2154698a5a241ca73f53dba888a09b9763</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Accuracy</topic><topic>autonomous berthing algorithm</topic><topic>Autonomous cars</topic><topic>Berthing</topic><topic>berthing safety</topic><topic>CFD coupling model</topic><topic>Computational fluid dynamics</topic><topic>Computer applications</topic><topic>Driving ability</topic><topic>Flow resistance</topic><topic>Fluid dynamics</topic><topic>Fluid mechanics</topic><topic>Growth rate</topic><topic>Hydrodynamics</topic><topic>Obstacle avoidance</topic><topic>Pressure</topic><topic>Real time</topic><topic>Research methodology</topic><topic>Resistance factors</topic><topic>Route planning</topic><topic>Safety</topic><topic>Safety engineering</topic><topic>Ships</topic><topic>Simulation</topic><topic>Torque</topic><topic>Unmanned aerial vehicles</topic><topic>unmanned ship</topic><topic>Unmanned vehicles</topic><topic>Vertical forces</topic><topic>Water flow</topic><topic>Wind</topic><topic>Wind direction</topic><topic>Wind effects</topic><topic>Wind speed</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Xiao, Guoquan</creatorcontrib><creatorcontrib>Tong, Chao</creatorcontrib><creatorcontrib>Wang, Yue</creatorcontrib><creatorcontrib>Guan, Shuaishuai</creatorcontrib><creatorcontrib>Hong, Xiaobin</creatorcontrib><creatorcontrib>Shang, Bin</creatorcontrib><collection>CrossRef</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>AUTh Library subscriptions: ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>Applied sciences</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Xiao, Guoquan</au><au>Tong, Chao</au><au>Wang, Yue</au><au>Guan, Shuaishuai</au><au>Hong, Xiaobin</au><au>Shang, Bin</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>CFD Simulation of the Safety of Unmanned Ship Berthing under the Influence of Various Factors</atitle><jtitle>Applied sciences</jtitle><date>2021-08-01</date><risdate>2021</risdate><volume>11</volume><issue>15</issue><spage>7102</spage><pages>7102-</pages><issn>2076-3417</issn><eissn>2076-3417</eissn><abstract>The safety of unmanned ship berthing is of paramount importance. In order to explore the influence of wind and wave coupling, a berthing computational fluid dynamics (CFD) model was established, and the characteristics of speed field, pressure field, and vortex have been obtained under different speed, wind direction, and the quay wall distances. The results show that the total resistance of the hull against the current can be about 1.60 times higher compared to the downstream resistance, water flow resistance is the dominant factor, accounting for more than 80% of the total resistance. When changing the distance between ship and shore at fixed speed, the results found that the torque is small, but the growth rate is very large when driving below 2 m/s, and the torque growth rate is stable above 2 m/s. Based on the established coupling model, a multi-factor berthing safety study is carried out on an actual unmanned ship. The results show that when the speed increases from 4 m/s to 12 m/s, the curve slope is small, the resistance increases from 3666 N to 18,056 N, and the rear slope increases. The pressure increases with the speed, and when the speed is 24 m/s, the maximum pressure is up to 238,869 Pa. When the wind speed is fixed, the vertical force of the unmanned ship increases first and then decreases to zero and then reverses the same law change, and the maximum resistance is about 425 N at the wind angle of about 45 degrees; At 90 degrees, the maximum lateral force on an unmanned boat is about 638 N. The above results can provide control strategy for unmanned ship berthing safety, and provide theoretical basis for unmanned ship route planning and obstacle avoidance, safety design, etc.</abstract><cop>Basel</cop><pub>MDPI AG</pub><doi>10.3390/app11157102</doi><orcidid>https://orcid.org/0000-0003-1650-525X</orcidid><orcidid>https://orcid.org/0000-0002-9933-1330</orcidid><oa>free_for_read</oa></addata></record>
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subjects Accuracy
autonomous berthing algorithm
Autonomous cars
Berthing
berthing safety
CFD coupling model
Computational fluid dynamics
Computer applications
Driving ability
Flow resistance
Fluid dynamics
Fluid mechanics
Growth rate
Hydrodynamics
Obstacle avoidance
Pressure
Real time
Research methodology
Resistance factors
Route planning
Safety
Safety engineering
Ships
Simulation
Torque
Unmanned aerial vehicles
unmanned ship
Unmanned vehicles
Vertical forces
Water flow
Wind
Wind direction
Wind effects
Wind speed
title CFD Simulation of the Safety of Unmanned Ship Berthing under the Influence of Various Factors
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