Pub Date : 2023-02-01DOI: 10.52547/marineeng.18.37.28
Ahmad Izadi, A. Esfandiari
{"title":"FEM Updating of Ship Structure by The Sensitivity Equation of Transmissibility Function","authors":"Ahmad Izadi, A. Esfandiari","doi":"10.52547/marineeng.18.37.28","DOIUrl":"https://doi.org/10.52547/marineeng.18.37.28","url":null,"abstract":"","PeriodicalId":50152,"journal":{"name":"Journal of Marine Engineering and Technology","volume":"65 1","pages":""},"PeriodicalIF":2.6,"publicationDate":"2023-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77838704","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-01-18DOI: 10.1080/20464177.2023.2167269
Jinhui Wang, Y. Zhou, Lei Zhuang, Long Shi, Shaogang Zhang
Effective maritime accident prediction will benefit both maritime safety management and the insurance industry. Due to the complex non-linearity and non-stationarity nature of maritime accident data, its prediction is still a challenge in the research field. An autoregressive integrated moving average with explanatory variables (ARIMAX) model was proposed to predict maritime accidents accurately, and a multi-factor accident prediction framework was developed. Additionally, the impacts of eight influencing factors on the number of maritime accidents were also investigated, and the predictions from the ARIMAX model were contrasted with those from earlier maritime accident prediction models, as well as autoregressive integrated moving average (ARIMA), back-propagation neural network (BPNN), and support vector regression (SVR). The findings imply that an increase in any one of the eight factors may increase the number of maritime accidents worldwide. The ARIMAX model, which incorporates accident factors, is accurate enough to estimate the number of global maritime accidents and outperforms the ARIMA, BPNN, and SVR models in terms of prediction precision and robustness. The ARIMAX model outperforms earlier marine accident prediction models and has good applicability.
{"title":"A model of maritime accidents prediction based on multi-factor time series analysis","authors":"Jinhui Wang, Y. Zhou, Lei Zhuang, Long Shi, Shaogang Zhang","doi":"10.1080/20464177.2023.2167269","DOIUrl":"https://doi.org/10.1080/20464177.2023.2167269","url":null,"abstract":"Effective maritime accident prediction will benefit both maritime safety management and the insurance industry. Due to the complex non-linearity and non-stationarity nature of maritime accident data, its prediction is still a challenge in the research field. An autoregressive integrated moving average with explanatory variables (ARIMAX) model was proposed to predict maritime accidents accurately, and a multi-factor accident prediction framework was developed. Additionally, the impacts of eight influencing factors on the number of maritime accidents were also investigated, and the predictions from the ARIMAX model were contrasted with those from earlier maritime accident prediction models, as well as autoregressive integrated moving average (ARIMA), back-propagation neural network (BPNN), and support vector regression (SVR). The findings imply that an increase in any one of the eight factors may increase the number of maritime accidents worldwide. The ARIMAX model, which incorporates accident factors, is accurate enough to estimate the number of global maritime accidents and outperforms the ARIMA, BPNN, and SVR models in terms of prediction precision and robustness. The ARIMAX model outperforms earlier marine accident prediction models and has good applicability.","PeriodicalId":50152,"journal":{"name":"Journal of Marine Engineering and Technology","volume":"22 1","pages":"153 - 165"},"PeriodicalIF":2.6,"publicationDate":"2023-01-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42515533","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-12-13DOI: 10.1080/20464177.2022.2154666
R. Damerius, A. Schubert, C. Rethfeldt, G. Finger, S. Fischer, G. Milbradt, M. Kurowski, M. Gluch, T. Jeinsch
Conventional ships are rarely the focus of research projects on autonomous shipping. Nevertheless, the shipping companies are very interested in reducing fuel consumption. This paper proposes a gradual approach towards ship automation which starts with the intelligent assistance of common manual steering by means of a Maneuver Assistance System (MAS). The MAS displays a manually improved manoeuvre plan and the future motion based on the current actuator commands. These two assistance functions contribute to a more conscious use of actuators which can significantly reduce power consumption. For further automation, the improved manoeuvre plan is converted into a trajectory by forward simulation, which is then used by a control system. The control system includes feed-forward and feedback control as well as an allocation system based on a simplified dynamic motion model. A cascaded structure is used, where an outer track controller provides velocity and heading commands to an inner velocity and heading controller. The paper presents the necessary framework and the application of this approach to the digitised German research vessel DENEB with the aim to gradually introduce and realise automatic manoeuvring. Results from manual and assisted manoeuvres with the DENEB are analysed and compared. Finally, first results of automatic berthing with the vessel in the port of Rostock are presented.
{"title":"Consumption-reduced manual and automatic manoeuvring with conventional vessels","authors":"R. Damerius, A. Schubert, C. Rethfeldt, G. Finger, S. Fischer, G. Milbradt, M. Kurowski, M. Gluch, T. Jeinsch","doi":"10.1080/20464177.2022.2154666","DOIUrl":"https://doi.org/10.1080/20464177.2022.2154666","url":null,"abstract":"Conventional ships are rarely the focus of research projects on autonomous shipping. Nevertheless, the shipping companies are very interested in reducing fuel consumption. This paper proposes a gradual approach towards ship automation which starts with the intelligent assistance of common manual steering by means of a Maneuver Assistance System (MAS). The MAS displays a manually improved manoeuvre plan and the future motion based on the current actuator commands. These two assistance functions contribute to a more conscious use of actuators which can significantly reduce power consumption. For further automation, the improved manoeuvre plan is converted into a trajectory by forward simulation, which is then used by a control system. The control system includes feed-forward and feedback control as well as an allocation system based on a simplified dynamic motion model. A cascaded structure is used, where an outer track controller provides velocity and heading commands to an inner velocity and heading controller. The paper presents the necessary framework and the application of this approach to the digitised German research vessel DENEB with the aim to gradually introduce and realise automatic manoeuvring. Results from manual and assisted manoeuvres with the DENEB are analysed and compared. Finally, first results of automatic berthing with the vessel in the port of Rostock are presented.","PeriodicalId":50152,"journal":{"name":"Journal of Marine Engineering and Technology","volume":"22 1","pages":"55 - 66"},"PeriodicalIF":2.6,"publicationDate":"2022-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46928663","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-12-01DOI: 10.52547/marineeng.18.36.54
S. Hajizadeh, Hassan Abyn, Milad Pazandehkar
{"title":"Numerical Simulation of the Effect of Ship Bulbous on Hydrodynamic Parameters","authors":"S. Hajizadeh, Hassan Abyn, Milad Pazandehkar","doi":"10.52547/marineeng.18.36.54","DOIUrl":"https://doi.org/10.52547/marineeng.18.36.54","url":null,"abstract":"","PeriodicalId":50152,"journal":{"name":"Journal of Marine Engineering and Technology","volume":"40 1","pages":""},"PeriodicalIF":2.6,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81121484","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-12-01DOI: 10.52547/marineeng.18.36.32
Moein Bozorg Zadeh, M. Zareei
{"title":"Investigation Parametric Rolling of Ships under Irregular Waves","authors":"Moein Bozorg Zadeh, M. Zareei","doi":"10.52547/marineeng.18.36.32","DOIUrl":"https://doi.org/10.52547/marineeng.18.36.32","url":null,"abstract":"","PeriodicalId":50152,"journal":{"name":"Journal of Marine Engineering and Technology","volume":"138 1","pages":""},"PeriodicalIF":2.6,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77446735","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-12-01DOI: 10.52547/marineeng.18.36.14
M. Razazan, M. Ezam, A. Nasrollahi
{"title":"An Investigation on the Possibility of Rip Current Formation in the Coastal Waters of Bushehr Province","authors":"M. Razazan, M. Ezam, A. Nasrollahi","doi":"10.52547/marineeng.18.36.14","DOIUrl":"https://doi.org/10.52547/marineeng.18.36.14","url":null,"abstract":"","PeriodicalId":50152,"journal":{"name":"Journal of Marine Engineering and Technology","volume":"10 1","pages":""},"PeriodicalIF":2.6,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78196994","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-12-01DOI: 10.52547/marineeng.18.36.1
Zakarya Azizi, M. Rezapour, M. Azhdary Moghaddam
{"title":"Numerical Study of Effluent Distribution from Konarak Desalination Plant Using Cormix","authors":"Zakarya Azizi, M. Rezapour, M. Azhdary Moghaddam","doi":"10.52547/marineeng.18.36.1","DOIUrl":"https://doi.org/10.52547/marineeng.18.36.1","url":null,"abstract":"","PeriodicalId":50152,"journal":{"name":"Journal of Marine Engineering and Technology","volume":"8 1","pages":""},"PeriodicalIF":2.6,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88590477","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-12-01DOI: 10.52547/marineeng.18.36.69
S. Zia
{"title":"Adaptive Complementary Filter Based on Least Square to Attitude Estimation of Underwater Vehicle","authors":"S. Zia","doi":"10.52547/marineeng.18.36.69","DOIUrl":"https://doi.org/10.52547/marineeng.18.36.69","url":null,"abstract":"","PeriodicalId":50152,"journal":{"name":"Journal of Marine Engineering and Technology","volume":"70 1","pages":""},"PeriodicalIF":2.6,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80980009","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-12-01DOI: 10.52547/marineeng.18.36.42
Mohammadreza Gharibreza, M. Allahyar, Hamid Khalili, Rasool Ghanbari Moman
{"title":"Zoning of Tidal Facies a Prerequisite of the Integrated Coastal Zone Management of Bushehr Province (Iran)","authors":"Mohammadreza Gharibreza, M. Allahyar, Hamid Khalili, Rasool Ghanbari Moman","doi":"10.52547/marineeng.18.36.42","DOIUrl":"https://doi.org/10.52547/marineeng.18.36.42","url":null,"abstract":"","PeriodicalId":50152,"journal":{"name":"Journal of Marine Engineering and Technology","volume":"22 1","pages":""},"PeriodicalIF":2.6,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73894732","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-12-01DOI: 10.52547/marineeng.18.36.24
M. Zareei, M. Iranmanesh
{"title":"Ultimate Strength Assessment of Cracked Stiffened Plates Using Optimized XGBoost Method","authors":"M. Zareei, M. Iranmanesh","doi":"10.52547/marineeng.18.36.24","DOIUrl":"https://doi.org/10.52547/marineeng.18.36.24","url":null,"abstract":"","PeriodicalId":50152,"journal":{"name":"Journal of Marine Engineering and Technology","volume":"382 1","pages":""},"PeriodicalIF":2.6,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77343768","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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