Study on the cellular automaton model to simulate states of antifouling coating and probability predict model of barnacles invasion by adhesion to the ship

2015 Fiscal Year Final Research Report

• Project/Area Number: 25289326
• Research Category: Grant-in-Aid for Scientific Research (B)
• Allocation Type: Partial Multi-year Fund
• Section: 一般
• Research Field: Naval and maritime engineering
• Research Institution: National Maritime Research Institute
• Principal Investigator: KAMEYAMA Michihiro 国立研究開発法人 海上技術安全研究所, その他部局等, 研究員 (40373427)
• Co-Investigator(Kenkyū-buntansha): MIYATA Osamu 国立研究開発法人 海海上技術安全研究所, その他部局等, 研究員 (10450678) ; SAKURAI Akio 国立研究開発法人 海上技術安全研究所, その他部局等, 研究員 (20373417) ; SUGASAWA Shinobu 国立研究開発法人 海上技術安全研究所, その他部局等, 研究員 (40371091) ; Ono Masao 国立研究開発法人 海上技術安全研究所, その他部局等, 研究員 (80399526) ; IMASATO Motonobu 国立研究開発法人 海上技術安全研究所, その他部局等, 研究員 (80443240)
• Co-Investigator(Renkei-kenkyūsha): YAMAGUCHI Toshiyuki 神奈川大学, 理学部, 非常勤講師 (10101106)
• Project Period (FY): 2013-04-01 – 2016-03-31
• Keywords: 船体付着 / 越境移動確率 / 評価手法 / ココポーマアカフジツボ / 生態特性

Outline of Final Research Achievements

To estimate the invasion probability of barnacle attached to the ship hull, we obtained the data on adhesion possibility of barnacles on antifouling coatings, survival rate for seawater temperature and the salinity and incubation rate on Megabalanus coccopoma through executing immersion test, resistant examination and observation in the habitation sea area.
In addition, we developed cellular automaton model based on the section image of the scanning electron microscope (SEM) to simulate the states of antifouling coating due to aging and probability predict model of barnacles invasion by adhesion to the ship based on ship navigation log. We carried out the analysis for real examples that Megabalanus coccopoma attached to a ship and showed the effectiveness and problems of the developed predictive technique on the invasion probability by the hull adhesion of barnacle.

Free Research Field

環境影響評価