A new adaptive ground structure method for multi-load spatial Michell structures

2016 ◽  
pp. 525-528 ◽  
Author(s):  
T Sokół
Keyword(s):  
Ground Structure ◽  
Michell Structures ◽  
Ground Structure Method

scholarly journals Designing Franklin’s Microstrip Antenna with Defected Ground Structure at MMwave Frequency

2021 ◽  
pp. 559-565
Author(s):  
Ahmad Firdausi ◽  
◽  
I Made Dian Wahyudi ◽  
Mudrik Alaydrus
Keyword(s):  
Microstrip Antenna ◽  
Data Access ◽  
Microstrip Antennas ◽  
Reflection Factor ◽  
Defected Ground Structure ◽  
Ground Structure ◽  
Ground Field ◽  
Bandwidth Enhancement ◽  
Ground Structure Method ◽  
Gain Enhancement

The development of telecommunication technology is very rapid at this time has entered into 4G technology. Soon, the 5G technology has a fast data access speed of at least 1 Gbps. To support 5G technology is carried out in-depth research, especially in 5G antennas. This study aims to increase the bandwidth of Franklin's five array microstrip antennas using the DGS (Defected Ground Structure) method for 5G antenna applications at an operating frequency of 28 GHz. The research was conducted by doing rectangular defects in the ground field. This research produced an enhanced bandwidth by 1.707 GHz from 1.196 GHz without DGS (Defected Ground Structure) to 2.9 GHz with DGS (Defected Ground Structure). It means a bandwidth enhancement of 142.47%. At the same time, the design achieved a gain enhancement of 141.7 %. Franklin's microstrip antenna output with DGS (Defected Ground Structure) method from the research simulation results are the bandwidth of 2.9 GHz, reflection factor of -52.95 dB, and Gain 11.80 dB. In comparison, the results of antenna measurements that have been fabricated produce bandwidth of 2 GHz, reflection factor -27.72 dB on frequency 26.6 GHz. The deviation between the simulation and measurement may result in inaccuracies during the fabrication process.

scholarly journals Topological design of pentamode lattice metamaterials using a ground structure method

2021 ◽  
Vol 202 ◽  
pp. 109523
Author(s):  
Zuyu Li ◽  
Zhen Luo ◽  
Lai-Chang Zhang ◽  
Chun-Hui Wang
Keyword(s):  
Ground Structure ◽  
Ground Structure Method ◽  
Topological Design

Topology optimisation of the discrete structures with the minimum growing ground structure method

2018 ◽  
Vol 9 (1) ◽  
pp. 38
Author(s):  
Ali Ghoddosian ◽  
Mojtaba Riyahi Vezvari ◽  
Mohammad Amin Karimi ◽  
Mojtaba Sheikhi Azqandi
Keyword(s):  
Topology Optimisation ◽  
Ground Structure ◽  
Ground Structure Method ◽  
Discrete Structures

Topology Optimization for Stiffened Panels: A Ground Structure Method

2021 ◽  
Author(s):  
Jean-Francois Gamache ◽  
Aurelian Vadean ◽  
Nicolas Dodane ◽  
Sofiane Achiche
Keyword(s):  
Topology Optimization ◽  
Ground Structure ◽  
Stiffened Panels ◽  
Ground Structure Method

Topology optimization of planar truss structures with continuous element intersection and node stability constraints

2011 ◽  
Vol 226 (7) ◽  
pp. 1821-1831 ◽  
Author(s):  
Guojun Leng ◽  
Baoyan Duan
Keyword(s):  
Topology Optimization ◽  
Truss Structures ◽  
Mixed Integer ◽  
Heaviside Function ◽  
Test Cases ◽  
Ground Structure ◽  
Nonlinear Formulation ◽  
Cross Sectional ◽  
Ground Structure Method ◽  
Design Variables

This article presents a general nonlinear formulation for the topology optimization of planar truss structures. The novelty of this article is that element intersection is described in terms of a continuous intersection factor. The Heaviside function is used to map the element cross-sectional area to intersection properties. Therefore, the intersection feature is described by a continuous and differentiable function. The topology optimization model is hence set as a ground-structure method by simultaneously including constraints on element intersection and cinematic stability of nodes. The latter is also described by a continuous function. Three test cases are presented to demonstrate the validity of the proposed approach. Unlike mixed integer programming, the number of design cycles does not change much as the number of design variables increases.

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