Sample-based synthesis of two-scale structures with anisotropy. (September 2017)
- Record Type:
- Journal Article
- Title:
- Sample-based synthesis of two-scale structures with anisotropy. (September 2017)
- Main Title:
- Sample-based synthesis of two-scale structures with anisotropy
- Authors:
- Liu, Xingchen
Shapiro, Vadim - Abstract:
- Abstract: A vast majority of natural or synthetic materials are characterized by their anisotropic properties, such as stiffness. Such anisotropy is effected by the spatial distribution of the fine-scale structure and/or anisotropy of the constituent phases at a finer scale. In design, proper control of the anisotropy may greatly enhance the efficiency and performance of synthesized structures. We propose a sample-based two-scale structure synthesis approach that explicitly controls anisotropic effective material properties of the structure on the coarse scale by orienting sampled material neighborhoods at the fine scale. We first characterize the non-uniform orientations distribution of the sample structure by showing that the principal axes of an orthotropic material may be determined by the eigenvalue decomposition of its effective stiffness tensor. Such effective stiffness tensors can be efficiently estimated based on the two-point correlation functions of the fine-scale structures. Then we synthesize the two-scale structure by rotating fine-scale structures from the sample to follow a given target orientation field. The effectiveness of the proposed approach is demonstrated through examples in both 2D and 3D. Highlights: Propose a sample-based two-scale structure synthesis approach that explicitly controls anisotropic effective material properties. Determine the principal axes of an orthotropic material may be determined by the eigenvalue decomposition of its effectiveAbstract: A vast majority of natural or synthetic materials are characterized by their anisotropic properties, such as stiffness. Such anisotropy is effected by the spatial distribution of the fine-scale structure and/or anisotropy of the constituent phases at a finer scale. In design, proper control of the anisotropy may greatly enhance the efficiency and performance of synthesized structures. We propose a sample-based two-scale structure synthesis approach that explicitly controls anisotropic effective material properties of the structure on the coarse scale by orienting sampled material neighborhoods at the fine scale. We first characterize the non-uniform orientations distribution of the sample structure by showing that the principal axes of an orthotropic material may be determined by the eigenvalue decomposition of its effective stiffness tensor. Such effective stiffness tensors can be efficiently estimated based on the two-point correlation functions of the fine-scale structures. Then we synthesize the two-scale structure by rotating fine-scale structures from the sample to follow a given target orientation field. The effectiveness of the proposed approach is demonstrated through examples in both 2D and 3D. Highlights: Propose a sample-based two-scale structure synthesis approach that explicitly controls anisotropic effective material properties. Determine the principal axes of an orthotropic material may be determined by the eigenvalue decomposition of its effective stiffness tensor. Synthesize the two-scale structure by rotating fine-scale structures from the sample to follow a given target orientation field. Graphical abstract: … (more)
- Is Part Of:
- Computer aided design. Volume 90(2017)
- Journal:
- Computer aided design
- Issue:
- Volume 90(2017)
- Issue Display:
- Volume 90, Issue 2017 (2017)
- Year:
- 2017
- Volume:
- 90
- Issue:
- 2017
- Issue Sort Value:
- 2017-0090-2017-0000
- Page Start:
- 199
- Page End:
- 209
- Publication Date:
- 2017-09
- Subjects:
- Anisotropic material -- Multiscale structure -- Two-scale structure -- Structure design -- Texture synthesis
Computer-aided design -- Periodicals
Engineering design -- Data processing -- Periodicals
Computer graphics -- Periodicals
Conception technique -- Informatique -- Périodiques
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Computer graphics
Engineering design -- Data processing
Periodicals
Electronic journals
620.00420285 - Journal URLs:
- http://www.journals.elsevier.com/computer-aided-design/ ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.cad.2017.05.013 ↗
- Languages:
- English
- ISSNs:
- 0010-4485
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 3393.520000
British Library DSC - BLDSS-3PM
British Library STI - ELD Digital store - Ingest File:
- 23782.xml