Hybrid Evolvable Hardware for automatic generation of image filters

Almeida, Manuel; Pedrino, Emerson Carlos

doi:10.3233/ica-180561

Cited by 5 publications

(1 citation statement)

References 20 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…It can adjust the shape, size, and topology of structure to improve the structure performance (Kociecki & Adeli, , , ). In recent years, the development on genetic algorithms (Almeida & Pedrino, ; Kyriklidis & Dounias, ; Li et al., ; Padillo, Luna, Herrera, & Ventura, ; Zhao, Guo, Zhou, & Zhang, ) provides more alternatives for form generation. Some researchers have used structural optimization technology to realize the form generation methods for RGS.…”

Section: Introductionmentioning

confidence: 99%

Self‐adaptive form generation method for reciprocal grid structures

Qiao³

et al. 2018

Computer aided Civil Eng

View full text Add to dashboard Cite

Reciprocal grid structure is a structural system consisting of mutually supporting bars.Its geometry should satisfy not only the demands of architectural intents but also the requirements of the lapping relationship of the bars. Thus, form generation is the key problem in its design. Inspired by the physical building process of a reciprocal grid structure, self-adaptive form generation method is proposed. In this method, an initial plane grid with the topology of required structural configuration is created first. Next, elements are iteratively lapped to realize a self-adaptive generation of structural form. Two new parameters, bar lapping factor and rotation angle, are proposed to describe reciprocal grid structures quantitatively and make the form generation process easy. The efficiency and accuracy of the method are illustrated by comparisons with other form generation methods. Numerical examples demonstrate the applicability of the proposed method in the complex and realistic reciprocal grid structures.

show abstract