### Abstract

This paper presents a new method to determine an optimal shape using affine transformation which is used in the field of Computer Aided Design (CAD), linear programming, and etc. We use affine transformation as coordinate transformation. Affine transformation is a linear transformation, so that shapes transformed must be linearly. Shape optimization of a inclined beam for example, we can deal with in the following manner. We define a simple cantilever beam first in initial design domain, and calculate an optimal shape. Then we use affine transformation remaining with optimal shape calculated in simple design domain and get to an optimal shape of the inclined beam. To compare with an optimal shape obtained by our proposed method, we calculate an optimal shape directly by conventional method in the same design domain after coordinate transformation. We show that affine transformation plays a role as scaling to structural optimization by finite element method and that necessary and sufficient conditions between design variables and shape transformation matrix may exist to get an exact optimal shape. We treat some numerical examples by our proposed method. In numerical examples, we consider shape optimization of inclined cantilever beam for simplicity. We show that some stepwise linear optimal shapes could be expressed from an optimal shape of a simple cantilever beam by using affine transformation. Optimal shape calculated by our method can obtain easily and speedy. Through some numerical examples, we could examine effectiveness of our proposed method.

Original language | English |
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Title of host publication | Proceedings of the ASME Design Engineering Technical Conference |

Pages | 671-676 |

Number of pages | 6 |

Volume | 2 |

Publication status | Published - 2001 |

Event | 2001 ASME Design Engineering Technical Conference and Computers and Information in Engineering Conference - Pittsburgh, PA Duration: 2001 Sep 9 → 2001 Sep 12 |

### Other

Other | 2001 ASME Design Engineering Technical Conference and Computers and Information in Engineering Conference |
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City | Pittsburgh, PA |

Period | 01/9/9 → 01/9/12 |

### Fingerprint

### Keywords

- Affine transformation
- Shape optimization Scaling

### ASJC Scopus subject areas

- Engineering(all)

### Cite this

*Proceedings of the ASME Design Engineering Technical Conference*(Vol. 2, pp. 671-676)

**A study on shape optimization using affine transformation.** / Kitayama, Satoshi; Yamakawa, Hiroshi.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

*Proceedings of the ASME Design Engineering Technical Conference.*vol. 2, pp. 671-676, 2001 ASME Design Engineering Technical Conference and Computers and Information in Engineering Conference, Pittsburgh, PA, 01/9/9.

}

TY - GEN

T1 - A study on shape optimization using affine transformation

AU - Kitayama, Satoshi

AU - Yamakawa, Hiroshi

PY - 2001

Y1 - 2001

N2 - This paper presents a new method to determine an optimal shape using affine transformation which is used in the field of Computer Aided Design (CAD), linear programming, and etc. We use affine transformation as coordinate transformation. Affine transformation is a linear transformation, so that shapes transformed must be linearly. Shape optimization of a inclined beam for example, we can deal with in the following manner. We define a simple cantilever beam first in initial design domain, and calculate an optimal shape. Then we use affine transformation remaining with optimal shape calculated in simple design domain and get to an optimal shape of the inclined beam. To compare with an optimal shape obtained by our proposed method, we calculate an optimal shape directly by conventional method in the same design domain after coordinate transformation. We show that affine transformation plays a role as scaling to structural optimization by finite element method and that necessary and sufficient conditions between design variables and shape transformation matrix may exist to get an exact optimal shape. We treat some numerical examples by our proposed method. In numerical examples, we consider shape optimization of inclined cantilever beam for simplicity. We show that some stepwise linear optimal shapes could be expressed from an optimal shape of a simple cantilever beam by using affine transformation. Optimal shape calculated by our method can obtain easily and speedy. Through some numerical examples, we could examine effectiveness of our proposed method.

AB - This paper presents a new method to determine an optimal shape using affine transformation which is used in the field of Computer Aided Design (CAD), linear programming, and etc. We use affine transformation as coordinate transformation. Affine transformation is a linear transformation, so that shapes transformed must be linearly. Shape optimization of a inclined beam for example, we can deal with in the following manner. We define a simple cantilever beam first in initial design domain, and calculate an optimal shape. Then we use affine transformation remaining with optimal shape calculated in simple design domain and get to an optimal shape of the inclined beam. To compare with an optimal shape obtained by our proposed method, we calculate an optimal shape directly by conventional method in the same design domain after coordinate transformation. We show that affine transformation plays a role as scaling to structural optimization by finite element method and that necessary and sufficient conditions between design variables and shape transformation matrix may exist to get an exact optimal shape. We treat some numerical examples by our proposed method. In numerical examples, we consider shape optimization of inclined cantilever beam for simplicity. We show that some stepwise linear optimal shapes could be expressed from an optimal shape of a simple cantilever beam by using affine transformation. Optimal shape calculated by our method can obtain easily and speedy. Through some numerical examples, we could examine effectiveness of our proposed method.

KW - Affine transformation

KW - Shape optimization Scaling

UR - http://www.scopus.com/inward/record.url?scp=1542750594&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=1542750594&partnerID=8YFLogxK

M3 - Conference contribution

AN - SCOPUS:1542750594

VL - 2

SP - 671

EP - 676

BT - Proceedings of the ASME Design Engineering Technical Conference

ER -