Research on anchor chain visualization for a ship anchoring simulation training system
In the development of ship anchorage training systems, the problems of low efficiency and poor fidelity exist in the simulation of flexible anchor chains, and a position-based dynamics (PBD) method is proposed to express the chain movement. To satisfy the requirements of simulating anchoring manipul...
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description | In the development of ship anchorage training systems, the problems of low efficiency and poor fidelity exist in the simulation of flexible anchor chains, and a position-based dynamics (PBD) method is proposed to express the chain movement. To satisfy the requirements of simulating anchoring manipulation, the PBD method modifies the position of anchor chain particles by controlling constraints. Using the original distance constraint and bending constraint of the PBD approach, two novel constraints, namely, the long-range attachment (LRA) constraint and pin constraint, are developed to simulate the bending and stretching of the anchor chain. Simulation of ordinary ropes can be achieved using distance and bending constraints. The developed LRA constraint is capable of preventing anchor chain particles from being overstretched. Adoption of the pin constraint is proposed to integrate two particles into one to be calculated as an attempt to simulate the connection between the chain and the anchor. The continuous collision detection (CCD) constraint method considering friction and viscosity is used to detect collisions in the ship anchoring training system. Collision detection covers chain collisions with other objects and chains. Finally, the PBD method is more efficient and robust than the Newton method. Since it has sufficient visual plausibility and can realize real-time visualization, the simulation system developed by the PBD method effective for training crew members. |
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To satisfy the requirements of simulating anchoring manipulation, the PBD method modifies the position of anchor chain particles by controlling constraints. Using the original distance constraint and bending constraint of the PBD approach, two novel constraints, namely, the long-range attachment (LRA) constraint and pin constraint, are developed to simulate the bending and stretching of the anchor chain. Simulation of ordinary ropes can be achieved using distance and bending constraints. The developed LRA constraint is capable of preventing anchor chain particles from being overstretched. Adoption of the pin constraint is proposed to integrate two particles into one to be calculated as an attempt to simulate the connection between the chain and the anchor. The continuous collision detection (CCD) constraint method considering friction and viscosity is used to detect collisions in the ship anchoring training system. Collision detection covers chain collisions with other objects and chains. Finally, the PBD method is more efficient and robust than the Newton method. Since it has sufficient visual plausibility and can realize real-time visualization, the simulation system developed by the PBD method effective for training crew members.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0237563</identifier><identifier>PMID: 33021984</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Algorithms ; Anchorage (Navigation) ; Anchoring ; Anchors ; Bending ; Chain dynamics ; Chain mobility ; Chains ; Collisions ; Computer and Information Sciences ; Computer Simulation ; Constraint modelling ; Engineering and Technology ; Humans ; Laboratories ; Marine transportation ; Methods ; Newton methods ; Object recognition ; Physical Phenomena ; Physical Sciences ; Research and Analysis Methods ; Ships ; Ships - instrumentation ; Ships - statistics & numerical data ; Simulation ; Simulation Training ; Training ; Virtual reality ; Viscosity ; Visualization</subject><ispartof>PloS one, 2020-10, Vol.15 (10), p.e0237563-e0237563</ispartof><rights>COPYRIGHT 2020 Public Library of Science</rights><rights>2020 Jiang et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2020 Jiang et al 2020 Jiang et al</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c692t-2b0db50635803a428b130d77fcb9aed836847064cce42bdaad66782ce89876243</citedby><cites>FETCH-LOGICAL-c692t-2b0db50635803a428b130d77fcb9aed836847064cce42bdaad66782ce89876243</cites><orcidid>0000-0002-7592-3884</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC7537884/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC7537884/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,864,885,2102,2928,23866,27924,27925,53791,53793,79600,79601</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/33021984$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><contributor>Roh, Myung-Il</contributor><creatorcontrib>Jiang, Xiaobin</creatorcontrib><creatorcontrib>Ren, Hongxiang</creatorcontrib><creatorcontrib>He, Xin</creatorcontrib><title>Research on anchor chain visualization for a ship anchoring simulation training system</title><title>PloS one</title><addtitle>PLoS One</addtitle><description>In the development of ship anchorage training systems, the problems of low efficiency and poor fidelity exist in the simulation of flexible anchor chains, and a position-based dynamics (PBD) method is proposed to express the chain movement. To satisfy the requirements of simulating anchoring manipulation, the PBD method modifies the position of anchor chain particles by controlling constraints. Using the original distance constraint and bending constraint of the PBD approach, two novel constraints, namely, the long-range attachment (LRA) constraint and pin constraint, are developed to simulate the bending and stretching of the anchor chain. Simulation of ordinary ropes can be achieved using distance and bending constraints. The developed LRA constraint is capable of preventing anchor chain particles from being overstretched. Adoption of the pin constraint is proposed to integrate two particles into one to be calculated as an attempt to simulate the connection between the chain and the anchor. The continuous collision detection (CCD) constraint method considering friction and viscosity is used to detect collisions in the ship anchoring training system. Collision detection covers chain collisions with other objects and chains. Finally, the PBD method is more efficient and robust than the Newton method. Since it has sufficient visual plausibility and can realize real-time visualization, the simulation system developed by the PBD method effective for training crew members.</description><subject>Algorithms</subject><subject>Anchorage (Navigation)</subject><subject>Anchoring</subject><subject>Anchors</subject><subject>Bending</subject><subject>Chain dynamics</subject><subject>Chain mobility</subject><subject>Chains</subject><subject>Collisions</subject><subject>Computer and Information Sciences</subject><subject>Computer Simulation</subject><subject>Constraint modelling</subject><subject>Engineering and Technology</subject><subject>Humans</subject><subject>Laboratories</subject><subject>Marine transportation</subject><subject>Methods</subject><subject>Newton methods</subject><subject>Object recognition</subject><subject>Physical Phenomena</subject><subject>Physical Sciences</subject><subject>Research and Analysis Methods</subject><subject>Ships</subject><subject>Ships - instrumentation</subject><subject>Ships - statistics & numerical data</subject><subject>Simulation</subject><subject>Simulation Training</subject><subject>Training</subject><subject>Virtual reality</subject><subject>Viscosity</subject><subject>Visualization</subject><issn>1932-6203</issn><issn>1932-6203</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><sourceid>DOA</sourceid><recordid>eNqNkk1r3DAQhk1padJt_0FpDYXSHnarD1uSL4UQ-rEQCKRtrmIsy2stsrWR7ND011fedcK65FB8kJl55tXM6E2S1xitMOX409YNvgO72rlOrxChPGf0SXKKC0qWjCD69Oj_JHkRwhahnArGnicnlCKCC5GdJtdXOmjwqkldl0KnGudT1YDp0lsTBrDmD_QmpuoYhzQ0ZjdRptukwbSDPeR7H2v2sbvQ6_Zl8qwGG_Sr6Vwkv75--Xn-fXlx-W19fnaxVKwg_ZKUqCpzxGguEIWMiBJTVHFeq7IAXQnKRMYRy5TSGSkrgIoxLojSohCckYwukrcH3Z11QU4rCZJkmRA0J3Eti2R9ICoHW7nzpgV_Jx0YuQ84v5Hge6OslkpBSUuomShVRgsMlGHIKlUgXHBWqaj1ebptKFtdKd3Fse1MdJ7pTCM37lbynHIhxnY_TALe3Qw69LI1QWlrodNu2PddYM4xH_t-9w_6-HQTtYE4gOlqF-9Vo6g8Y5QzTPOcRmr1CBW_SrdGRf_UJsZnBR9nBZHp9e9-A0MIcv3j6v_Zy-s5-_6IbTTYvgnODqOFwhzMDqDyLgSv64clYyRH-99vQ472l5P9Y9mb4wd6KLr3O_0LHKEAAw</recordid><startdate>20201006</startdate><enddate>20201006</enddate><creator>Jiang, Xiaobin</creator><creator>Ren, Hongxiang</creator><creator>He, Xin</creator><general>Public Library of Science</general><general>Public Library of Science (PLoS)</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>IOV</scope><scope>ISR</scope><scope>3V.</scope><scope>7QG</scope><scope>7QL</scope><scope>7QO</scope><scope>7RV</scope><scope>7SN</scope><scope>7SS</scope><scope>7T5</scope><scope>7TG</scope><scope>7TM</scope><scope>7U9</scope><scope>7X2</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8C1</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>C1K</scope><scope>CCPQU</scope><scope>D1I</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>H94</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>KB.</scope><scope>KB0</scope><scope>KL.</scope><scope>L6V</scope><scope>LK8</scope><scope>M0K</scope><scope>M0S</scope><scope>M1P</scope><scope>M7N</scope><scope>M7P</scope><scope>M7S</scope><scope>NAPCQ</scope><scope>P5Z</scope><scope>P62</scope><scope>P64</scope><scope>PATMY</scope><scope>PDBOC</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PTHSS</scope><scope>PYCSY</scope><scope>RC3</scope><scope>7X8</scope><scope>5PM</scope><scope>DOA</scope><orcidid>https://orcid.org/0000-0002-7592-3884</orcidid></search><sort><creationdate>20201006</creationdate><title>Research on anchor chain visualization for a ship anchoring simulation training system</title><author>Jiang, Xiaobin ; Ren, Hongxiang ; He, Xin</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c692t-2b0db50635803a428b130d77fcb9aed836847064cce42bdaad66782ce89876243</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Algorithms</topic><topic>Anchorage (Navigation)</topic><topic>Anchoring</topic><topic>Anchors</topic><topic>Bending</topic><topic>Chain dynamics</topic><topic>Chain mobility</topic><topic>Chains</topic><topic>Collisions</topic><topic>Computer and Information Sciences</topic><topic>Computer Simulation</topic><topic>Constraint modelling</topic><topic>Engineering and Technology</topic><topic>Humans</topic><topic>Laboratories</topic><topic>Marine transportation</topic><topic>Methods</topic><topic>Newton methods</topic><topic>Object recognition</topic><topic>Physical Phenomena</topic><topic>Physical Sciences</topic><topic>Research and Analysis Methods</topic><topic>Ships</topic><topic>Ships - instrumentation</topic><topic>Ships - statistics & numerical data</topic><topic>Simulation</topic><topic>Simulation Training</topic><topic>Training</topic><topic>Virtual reality</topic><topic>Viscosity</topic><topic>Visualization</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Jiang, Xiaobin</creatorcontrib><creatorcontrib>Ren, Hongxiang</creatorcontrib><creatorcontrib>He, Xin</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Opposing Viewpoints in Context (Gale)</collection><collection>Gale In Context: Science</collection><collection>ProQuest Central (Corporate)</collection><collection>Animal Behavior Abstracts</collection><collection>Bacteriology Abstracts (Microbiology B)</collection><collection>Biotechnology Research Abstracts</collection><collection>Proquest Nursing & Allied Health Source</collection><collection>Ecology Abstracts</collection><collection>Entomology Abstracts (Full archive)</collection><collection>Immunology Abstracts</collection><collection>Meteorological & Geoastrophysical Abstracts</collection><collection>Nucleic Acids Abstracts</collection><collection>Virology and AIDS Abstracts</collection><collection>Agricultural Science Collection</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>Public Health Database</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>Advanced Technologies & Aerospace Collection</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>Natural Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Materials Science Collection</collection><collection>ProQuest Central Korea</collection><collection>Engineering Research Database</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Materials Science Database</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>Meteorological & Geoastrophysical Abstracts - 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Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>PloS one</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Jiang, Xiaobin</au><au>Ren, Hongxiang</au><au>He, Xin</au><au>Roh, Myung-Il</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Research on anchor chain visualization for a ship anchoring simulation training system</atitle><jtitle>PloS one</jtitle><addtitle>PLoS One</addtitle><date>2020-10-06</date><risdate>2020</risdate><volume>15</volume><issue>10</issue><spage>e0237563</spage><epage>e0237563</epage><pages>e0237563-e0237563</pages><issn>1932-6203</issn><eissn>1932-6203</eissn><abstract>In the development of ship anchorage training systems, the problems of low efficiency and poor fidelity exist in the simulation of flexible anchor chains, and a position-based dynamics (PBD) method is proposed to express the chain movement. To satisfy the requirements of simulating anchoring manipulation, the PBD method modifies the position of anchor chain particles by controlling constraints. Using the original distance constraint and bending constraint of the PBD approach, two novel constraints, namely, the long-range attachment (LRA) constraint and pin constraint, are developed to simulate the bending and stretching of the anchor chain. Simulation of ordinary ropes can be achieved using distance and bending constraints. The developed LRA constraint is capable of preventing anchor chain particles from being overstretched. Adoption of the pin constraint is proposed to integrate two particles into one to be calculated as an attempt to simulate the connection between the chain and the anchor. The continuous collision detection (CCD) constraint method considering friction and viscosity is used to detect collisions in the ship anchoring training system. Collision detection covers chain collisions with other objects and chains. Finally, the PBD method is more efficient and robust than the Newton method. Since it has sufficient visual plausibility and can realize real-time visualization, the simulation system developed by the PBD method effective for training crew members.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>33021984</pmid><doi>10.1371/journal.pone.0237563</doi><tpages>e0237563</tpages><orcidid>https://orcid.org/0000-0002-7592-3884</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Algorithms Anchorage (Navigation) Anchoring Anchors Bending Chain dynamics Chain mobility Chains Collisions Computer and Information Sciences Computer Simulation Constraint modelling Engineering and Technology Humans Laboratories Marine transportation Methods Newton methods Object recognition Physical Phenomena Physical Sciences Research and Analysis Methods Ships Ships - instrumentation Ships - statistics & numerical data Simulation Simulation Training Training Virtual reality Viscosity Visualization |
title | Research on anchor chain visualization for a ship anchoring simulation training system |
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