{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,26]],"date-time":"2025-03-26T21:36:48Z","timestamp":1743025008996,"version":"3.40.3"},"publisher-location":"Singapore","reference-count":13,"publisher":"Springer Nature Singapore","isbn-type":[{"type":"print","value":"9789819722747"},{"type":"electronic","value":"9789819722754"}],"license":[{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2024]]},"DOI":"10.1007\/978-981-97-2275-4_21","type":"book-chapter","created":{"date-parts":[[2024,4,15]],"date-time":"2024-04-15T19:02:10Z","timestamp":1713207730000},"page":"271-280","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Research on the Influence of Twin-Bow Appendage with Drum on Ship Speed and Resistance"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0009-0008-5975-2254","authenticated-orcid":false,"given":"Guangwu","family":"Liu","sequence":"first","affiliation":[]},{"given":"Chao","family":"Lu","sequence":"additional","affiliation":[]},{"given":"Si","family":"Chen","sequence":"additional","affiliation":[]},{"given":"Lixiang","family":"Guo","sequence":"additional","affiliation":[]},{"given":"Jin","family":"Wang","sequence":"additional","affiliation":[]},{"given":"Zhangrui","family":"Wu","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2024,4,16]]},"reference":[{"key":"21_CR1","unstructured":"Guo, C., Liu, G., Zhou, G., Huang C.: Ship resistance forecast based on weighting factor correction with Ayre method and Lap-Keller method. Ship Ocean Eng. 34\u201337 (2014)"},{"issue":"3","key":"21_CR2","first-page":"267","volume":"21","author":"F Gao","year":"2003","unstructured":"Gao, F., Wang, L.: Numerical study on synthetic flow field of adjacent microjet actuators. Acta Aerodynamica Sinica 21(3), 267\u2013274 (2003)","journal-title":"Acta Aerodynamica Sinica"},{"issue":"6","key":"21_CR3","first-page":"1752","volume":"51","author":"W Wang","year":"2019","unstructured":"Wang, W., Tang, T., Lu, S.: Numerical simulation and analysis of active jet control of hydrofoil cavitation. Chin. J. Theoret. Appl. Mech. 51(6), 1752\u20131760 (2019)","journal-title":"Chin. J. Theoret. Appl. Mech."},{"key":"21_CR4","doi-asserted-by":"publisher","unstructured":"Lu, C., Liu, G., Zhang, W., Wang, J.: Simulation of Airflow Characteristics of a Seabird Following a Ship Based on Steady State. In: Pan, L., Zhao, D., Li, L. (eds.) BIC-TA 2022. CCIS, vol. 1801, pp. 591\u2013604. Springer, Singapore (2023). https:\/\/doi.org\/10.1007\/978-981-99-1549-1_47","DOI":"10.1007\/978-981-99-1549-1_47"},{"key":"21_CR5","doi-asserted-by":"publisher","unstructured":"Ma, Z., Pei, Z., Liu, G., Wu, W.: Dynamic stability research on stiffened plate of ship structures under harmonic excitation. Ships Offshore Struct. https:\/\/doi.org\/10.1080\/17445302.2023.2225946","DOI":"10.1080\/17445302.2023.2225946"},{"issue":"6","key":"21_CR6","first-page":"1533","volume":"53","author":"Z Zhang","year":"2021","unstructured":"Zhang, Z., Ye, S., Yue, J., Wang, Y.: A combined neural network and multiple modification strategy for Reynolds-averaged Navier-Stokes turbulence modeling. Chin. J. Theoret. Appl. Mech. 53(6), 1533\u20131542 (2021)","journal-title":"Chin. J. Theoret. Appl. Mech."},{"issue":"8","key":"21_CR7","doi-asserted-by":"publisher","first-page":"1598","DOI":"10.2514\/3.12149","volume":"32","author":"F Menter","year":"1994","unstructured":"Menter, F.: Two-equation eddy-viscosity turbulence models for engineering applications. AIAA J. 32(8), 1598\u20131605 (1994)","journal-title":"AIAA J."},{"issue":"7","key":"21_CR8","doi-asserted-by":"publisher","first-page":"1264","DOI":"10.3390\/jmse11071264","volume":"11","author":"Z Pei","year":"2023","unstructured":"Pei, Z., Yang, B., Liu, G., Wu, W.: Experimental research on the stiffness step between the main hull and superstructure of cruise ships. J. Mar. Sci. Eng. 11(7), 1264 (2023). https:\/\/doi.org\/10.3390\/jmse11071264","journal-title":"J. Mar. Sci. Eng."},{"issue":"1","key":"21_CR9","doi-asserted-by":"publisher","first-page":"28","DOI":"10.5957\/JSPD.07190039","volume":"38","author":"J Liu","year":"2022","unstructured":"Liu, J., Zhang, B., Xu, N.: Research on design optimization of high-speed ship bulbous bow based on Nelder-mead algorithm. J. Ship Prod. Des. 38(1), 28\u201338 (2022)","journal-title":"J. Ship Prod. Des."},{"key":"21_CR10","doi-asserted-by":"publisher","first-page":"101163","DOI":"10.1016\/j.swevo.2022.101163","volume":"75","author":"J Lin","year":"2022","unstructured":"Lin, J., Pan, L.: Multiobjective trajectory optimization with a cutting and padding encoding strategy for single-UAV-assisted mobile edge computing system. Swarm Evol. Comput. 75, 101163 (2022)","journal-title":"Swarm Evol. Comput."},{"issue":"4","key":"21_CR11","first-page":"490","volume":"6","author":"E Rajabi","year":"2012","unstructured":"Rajabi, E., Kavianpour, M.: Intelligent prediction of turbulent flow over backward-facing step using direct numerical simulation data. Eng. Appl. Comput. Fluid Mech. 6(4), 490\u2013503 (2012)","journal-title":"Eng. Appl. Comput. Fluid Mech."},{"key":"21_CR12","doi-asserted-by":"publisher","first-page":"22","DOI":"10.1016\/j.jcp.2016.08.015","volume":"325","author":"J Weatheritt","year":"2016","unstructured":"Weatheritt, J., Sandberg, R.: A novel evolutionary algorithm applied to algebraic modifications of the RANS stress\u2013strain relationship. J. Comput. Phys. 325, 22\u201337 (2016)","journal-title":"J. Comput. Phys."},{"key":"21_CR13","doi-asserted-by":"publisher","first-page":"286","DOI":"10.1007\/s11804-012-1134-1","volume":"11","author":"S Mahmood","year":"2012","unstructured":"Mahmood, S., Huang, D.: Computational fluid dynamics based bulbous bow optimization using a genetic algorithm. J. Mar. Sci. Appl. 11, 286\u2013294 (2012)","journal-title":"J. Mar. Sci. Appl."}],"container-title":["Communications in Computer and Information Science","Bio-Inspired Computing: Theories and Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-981-97-2275-4_21","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,4,15]],"date-time":"2024-04-15T19:16:00Z","timestamp":1713208560000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-981-97-2275-4_21"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024]]},"ISBN":["9789819722747","9789819722754"],"references-count":13,"URL":"https:\/\/doi.org\/10.1007\/978-981-97-2275-4_21","relation":{},"ISSN":["1865-0929","1865-0937"],"issn-type":[{"type":"print","value":"1865-0929"},{"type":"electronic","value":"1865-0937"}],"subject":[],"published":{"date-parts":[[2024]]},"assertion":[{"value":"16 April 2024","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"BIC-TA","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Bio-Inspired Computing: Theories and Applications","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Changsha","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"China","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2023","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"15 December 2023","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"17 December 2023","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"18","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"bicta2023","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/2023.bicta.org\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Single-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"EasyChair","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"168","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"64","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"0","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"38% - The value is computed by the equation \"Number of Full Papers Accepted \/ Number of Submissions Sent for Review * 100\" and then rounded to a whole number.","order":6,"name":"acceptance_rate_of_full_papers","label":"Acceptance Rate of Full Papers","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"3","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"4","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Yes","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}