Skip to main content
SpringerLink
Log in
Book cover

Intelligent Autonomous Systems 12 pp 815–824Cite as

Study on Twining of Virtual Seaweed in Fluid Environment

  • Conference paper

  • 4119 Accesses

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 194))

Abstract

This paper describes the twining of seaweed in fluid environment by computer simulation of virtual seaweed. The morphology of virtual seaweed is modeled by Lindenmayer system. Then, two physical properties, which are adhesiveness and tear, are artificially introduced into this model. Physics engine is adopted to realize its physical motion. A fluid environment is constructed by the Lattice Boltzmann method. The method calculates time evolution of particle distribution to simulate fluid motion. The motion of virtual seaweed is acquired by moving in the environment. In order to find the twining conditions and the way of avoiding it, the simulation is executed by altering the environment. We ascertained that the virtual seaweed behavior has the close relationship with the water flow.

This is a preview of subscription content, log in via an institution.

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   169.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   219.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Watanabe, M.M.: Future perspective of technology for algal biomass energy. Jpn. Soc. Mechanical Engineers 113(1098), 32–35 (2010)

    Google Scholar 

  2. Yokoyama, S., Jonouchi, K., Imou, K.: Energy Production from Marine Biomass: Fuel Cell Power Generation Driven by Methane Produced from Seaweed (2007)

    Google Scholar 

  3. NVIDIA PhysX, http://www.nvidia.com/object/physx_new.html

  4. Sen, S.I., Day, A.M.: Modelling trees and their interaction with the environment: A survey. Comput. Graphics 29, 805–815 (2005)

    Article  Google Scholar 

  5. Corbit, J.D., Garbary, D.J.: Computer simulation of the morphology and development of several species of seaweed using Lindenmayer systems. Comput. Graphics 17, 85–88 (1993)

    Article  Google Scholar 

  6. Hou, S., Zou, Q., Chen, S., Doolen, G., Allen, C.: Cogley Simulation of Cavity Flow by the Lattice Boltzmann Method. Journal of Computational Physics 118, 329–347 (1985)

    Article  Google Scholar 

  7. Chen, S., Doolen, G.D.: Lattice Boltzmann Method for Fluid Flows. Annu. Rev. Fluid Mech. 30, 329–364 (1998)

    Article  MathSciNet  Google Scholar 

  8. McNamara, G., Zanetti, G.: Use of the Bolzmann equation to simulate lattice-gas automata. Phys. Rev. Lett. 61(11), 2332–2335 (1988)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. School of Engineering, Hokkaido University, Sapporo, Hokkaido, Japan, 060-0814

    Jun Ogawa

  2. Graduate School of Information Science and Technology, Hokkaido University, Sapporo, Hokkaido, Japan, 060-0814

    Masahito Yamamoto, Ikuo Suzuki & Masashi Furukawa

Authors
  1. Jun Ogawa
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Masahito Yamamoto
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Ikuo Suzuki
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Masashi Furukawa
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Jun Ogawa .

Editor information

Editors and Affiliations

  1. , School of Information and Communication, Sungkyunkwan University, 300 Chunchun-Dong Jangan-Ku, Kyunggi-Do, 440-746, Korea, Republic of (South Korea)

    Sukhan Lee

  2. Science and Technology, Daegu Gyeongbuk Institute of, 50-1, Sang-Ri, Hyeonpung-Myeon, Dalseong-Gun, Daegu, 711-873, Korea, Republic of (South Korea)

    Hyungsuck Cho

  3. Konkuk University, Neungdong-ro, Gwangjin-gu 120, Seoul, 143-701, Korea, Republic of (South Korea)

    Kwang-Joon Yoon

  4. , Department of Electronics Engineering, Pusan National University, Geum Jeong-ku, Pusan, 609-735, Korea, Republic of (South Korea)

    Jangmyung Lee

Rights and permissions

Reprints and permissions

Copyright information

© 2013 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Ogawa, J., Yamamoto, M., Suzuki, I., Furukawa, M. (2013). Study on Twining of Virtual Seaweed in Fluid Environment. In: Lee, S., Cho, H., Yoon, KJ., Lee, J. (eds) Intelligent Autonomous Systems 12. Advances in Intelligent Systems and Computing, vol 194. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-33932-5_77

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-33932-5_77

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-33931-8

  • Online ISBN: 978-3-642-33932-5

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics

Search

Navigation