Family member search algorithms for peridynamic analysis
Vazic, Bozo and Diyaroglu, Cagan and Oterkus, Erkan and Oterkus, Selda (2020) Family member search algorithms for peridynamic analysis. Journal of Peridynamics and Nonlocal Modeling. pp. 1-26. ISSN 2522-8978 (https://doi.org/10.1007/s42102-019-00027-5)
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Abstract
Peridynamic equation of motion is usually solved numerically by using meshless approaches, Family search process is one of the most time consuming parts of a peridynamic analysis. Especially for problems which require continuous update of family members inside the hurizoli of a material point, the time spent to search for family members becomes crucial. Hence, efficient algorithms are required to reduce the computational time. In this study, various family member search algorithms suitable for peridynamic simulations are presented including brute-force search, region partitioning and tree data structures. By considering problem cases for different number of material points, computational time between different algorithms is compared and the most efficient algorithm is determined.
ORCID iDs
Vazic, Bozo ORCID: https://orcid.org/0000-0003-0977-0434, Diyaroglu, Cagan, Oterkus, Erkan ORCID: https://orcid.org/0000-0002-4614-7214 and Oterkus, Selda ORCID: https://orcid.org/0000-0003-0474-0279;-
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Item type: Article ID code: 70929 Dates: DateEvent3 January 2020Published3 January 2020Published Online29 September 2019AcceptedSubjects: Naval Science > Naval architecture. Shipbuilding. Marine engineering Department: Faculty of Engineering > Naval Architecture, Ocean & Marine Engineering
Strategic Research Themes > Society and Policy
Strategic Research Themes > Ocean, Air and Space
Strategic Research Themes > Measurement Science and Enabling Technologies
Strategic Research Themes > Innovation Entrepreneurship
Strategic Research Themes > Health and Wellbeing
Strategic Research Themes > Energy
Strategic Research Themes > Advanced Manufacturing and MaterialsDepositing user: Pure Administrator Date deposited: 17 Dec 2019 10:17 Last modified: 11 Nov 2024 12:33 Related URLs: URI: https://strathprints.strath.ac.uk/id/eprint/70929