Proceedings of the Institution of Civil Engineers - Maritime Engineering最新文献

{"title":"Geospatial analysis of scour development post-protection in offshore wind farm","authors":"Qiang Li, Qunchao Ma, Xinglei Cheng, Kangyu Wang, Mingyuan Wang","doi":"10.1680/jmaen.2024.013","DOIUrl":"https://doi.org/10.1680/jmaen.2024.013","url":null,"abstract":"Scour is one of the most serious challenges affecting the normal operation of offshore wind power. Whether scour protection measures are effective directly affects the safety and economical efficiency of an offshore wind farm. Data mining techniques and analytical tools based on monitoring data analysis plays a critical role in making appropriate strategic decisions. Post-protection scour inspection was continuously carried out on a typical offshore wind farm composed of 72 turbines installed with monopile foundations for three times over the course of two years. The geospatial properties of scour, including maximum scour depth, maximum scour extension, and scouring and siltation volume, were analyzed in detail. The possible autocorrelation of scour data measured for each turbine was identified using data-driven decision-making process. The results indicate that the characteristics of the investigated scour and their spatial dependence on the turbines of the inspected offshore wind farm generally show an upward trend over time. A High-High area in the local geospatial dependency map of maximum scour depth was identified, and an equation was drawn for predicting development of maximum scour depth. These findings show indications to reduce the operation and maintenance costs of offshore wind farms and improve the efficiency for upgrading scour protection on specific offshore wind foundations.","PeriodicalId":517318,"journal":{"name":"Proceedings of the Institution of Civil Engineers - Maritime Engineering","volume":"7 8","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141649831","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Research on the dynamic response strength of multi wind turbines integrated foundation","authors":"Jiangfeng Zhu, Yuguang Cao","doi":"10.1680/jmaen.2023.018","DOIUrl":"https://doi.org/10.1680/jmaen.2023.018","url":null,"abstract":"The study of strength analysis methods for offshore floating structures is extremely important. The paper focuses on the integrated foundation of offshore Multi Wind-turbines integrated Foundation (MWF) and focuses on the strength analysis method of floating structures considering motion response. Compared with traditional quasi-static analysis methods, we further consider the impact of the ultimate motion state of the floating structure on the stress results. Firstly, the maximum environmental load and ultimate motion attitude of MWF were established as boundary conditions based on hydrodynamic analysis methods, which solved the problem of inaccurate constraint loads on floating bodies in traditional analysis. Then, we established a stress solving equation based on motion state and inertia release, which solved the problem of equivalent accuracy of floating body motion state. Finally, through theoretical analysis, numerical simulation, and experimental testing, it was found that the stress solution method considering the motion state of the floating body in this paper is more accurate and reliable, with an error of less than 10% compared to the stress results of experimental testing. The calculation accuracy has been improved by 30%. These studies have improved the stress solving methods of floating structures in actual marine environments, providing new ideas and theoretical references for the strength and safety analysis of offshore floating equipment. Highlights (1) The stress strength analysis method of offshore floating structures is proposed based on dynamic environmental loads and Extreme sport state. (2) The extreme values of the maximum longitudinal displacement, maximum longitudinal inclination angle, and maximum longitudinal velocity of the MWF model were obtained under the maximum environmental load. (3) Investigates the method for determining the motion state of floating structures and the influence of corresponding stress. (4) The error between the stress solution method based on the motion state of the floating body and the experimental test results is less than 10%, which improves the accuracy by 30% compared to traditional analysis methods.","PeriodicalId":517318,"journal":{"name":"Proceedings of the Institution of Civil Engineers - Maritime Engineering","volume":"60 22","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140972490","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Coastal greening of grey infrastructure: an update on the state-of-the-art","authors":"L. Firth, Jessica Bone, Aaron Bartholomew, Melanie J. Bishop, Ana Bugnot, Fabio Bulleri, S. Chee, Louw Claassens, K. Dafforn, Tom P. Fairchild, Alice E. Hall, Mick E. Hanley, V. Komyakova, A. Lemasson, L. H. Loke, M. Mayer‐Pinto, Rebecca L. Morris, Larissa Naylor, Matthew J. Perkins, Sylvain Pioch, Francesca Porri, Kathryn A. O'Shaughnessy, N. Schaefer, Elisabeth A. Strain, J. Toft, N. Waltham, Moises Aguilera, Laura Airoldi, Franz Bauer, P. Brooks, John Burt, Charley Clubley, Jeffery R. Cordell, Free Espinosa, A. Evans, Veronica Farrugia-Drakard, W. Froneman, John Griffin, Stephen J. Hawkins, E. Heery, R. Herbert, Emma Jones, K. M. Y. Leung, Pippa J. Moore, Juan Sempere-Valverde, Dhritiraj Sengupta, M. Sheaves, S. Swearer, Richard C. Thompson, Peter Todd, A. Knights","doi":"10.1680/jmaen.2023.003","DOIUrl":"https://doi.org/10.1680/jmaen.2023.003","url":null,"abstract":"In the marine environment, greening of grey infrastructure (GGI) is a rapidly growing field that attempts to encourage native marine life to colonize marine artificial structures to enhance biodiversity, thereby promoting ecosystem functioning and hence service provision. By designing multifunctional sea defences, breakwaters, port complexes and off-shore renewable energy installations, these structures can yield myriad environmental benefits, in particular, addressing UN SDG 14: Life below water. Whilst GGI has shown great promise and there is a growing evidence base, there remain many criticisms and knowledge gaps, and some feel that there is scope for GGI to be abused by developers to facilitate harmful development. Given the surge of research in this field in recent years, it is timely to review the literature to provide an update update on the state-of-the-art of the field in relation to the many criticisms and identify remaining knowledge gaps. Despite the rapid and significant advances made in this field, there is currently a lack of science and practice outside of academic sectors in the developed world, and there is a collective need for schemes that encourage intersectoral and transsectoral research, knowledge exchange, and capacity building to optimize GGI in the pursuit of contributing to sustainable development.","PeriodicalId":517318,"journal":{"name":"Proceedings of the Institution of Civil Engineers - Maritime Engineering","volume":"52 7-8","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139895311","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}