http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
- 中文 을 입력하시려면 zhongwen을 입력하시고 space를누르시면됩니다.
- 北京 을 입력하시려면 beijing을 입력하시고 space를 누르시면 됩니다.
RISS 인기검색어
- 검색키워드
- 저자 : Kaiyao Yang (검색결과 3 건)
- 무료
- 기관 내 무료
- 유료
-
Improved Quantum-Behaved Particle Swarm Method for Optimizing Complex Thin Plate Structure
Weitao Cheng,Yixiao Qin,Jinpeng Gu,Haibiao Gao,Yue Yan,Junle Yang,Yang Chen,Shen Su,Kaiyao Yang 대한토목학회 2023 KSCE Journal of Civil Engineering Vol.27 No.4
A large number of heavy-duty asymmetric thin-plate box girder structures exist in large equipment, and their optimization can reduce the amount of material used and increase their load-carrying capacity. A new optimization method based on the Improved Quantum-Behaved Particle Swarm Optimization method (IQBPSO) is proposed in order to efficiently solve the mathematical model for the rationalization and optimization design of structures. The penalty function and Lévy flight strategy are considered in the optimization design of the improved algorithm, thus transforming the constrained optimization problem into an unconstrained optimization problem and improving the diversity and local optimization search capability of the quantum particle swarm. A mathematical model for the optimal design of box girder section size is established with the reduction of beam cross-sectional area as the objective function and the thin plate strength, rigidity, and stability of the thin slab as the constraints. The rapid lightweight design of the thin plate box beam was achieved, resulting in a 9.6% reduction in the manufacturing cost of the thin plate box beam. The optimization results are compared with several solutions of the thin slab box beams to verify the reliability and validity of the proposed optimization method.
-
Shen Su,Yixiao Qin,Kaiyao Yang 한국강구조학회 2022 International Journal of Steel Structures Vol.22 No.5
The steel box girder structure is widely used in many engineering practices and it is therefore necessary to study the optimization and improvement of its structure. Firstly, a small-tonnage double-girder bridge crane was used as an example, with the box section parameters for one of the main girders as the design variables and weight reduction as the objective. The mathematical model for the optimization of this validation case was developed with the strength, stiff ness and stability of the girder as the effi ciency constraints. The next step was to go through two new swarm intelligence algorithms based on animal hunting behavior, Grey Wolf Optimizer (GWO) and Whale Optimization Algorithm (WOA), as well as two classical swarm algorithms, Particle Swarm Optimization (PSO) and Genetic Algorithm (GA). The optimization models of these four algorithms were simulated and analyzed by the fi nite element method, and the simulation results were compared. The feasibility and performance of these two new swarm intelligence algorithms in the structural optimization of asymmetric eccentrically loaded box girders were verifi ed. Finally, these two new swarm intelligence algorithms were applied to the structural optimization of the main girder of a large-tonnage bridge crane.
-
An E-capless AC-DC CRM Flyback LED Driver with Variable On-time Control
Kai Yao,Xiaopeng Bi,Siwen Yang 전력전자학회 2017 JOURNAL OF POWER ELECTRONICS Vol.17 No.2
LED is a promising new generation of green lighting with the advantages of high efficiency, good optical performance, long lifetime and environmental friendliness. A pulsating current can be used to drive LEDs. However, current with a high peak-to-average ratio is unfavorable for LEDs. A novel control scheme for the ac-dc critical conduction mode (CRM) flyback LED driver is proposed in this paper. By using the input voltage, output voltage and average output current to control the turn-on time of the switch, the peak-to-average ratio of the output current can be reduced. The operation principle is analyzed and an implementation circuit is put forward. Experimental results show the effectiveness of the proposed scheme.
연관 검색어 추천
이 검색어로 많이 본 자료
활용도 높은 자료
