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Delamination identification and response prediction in composites using bivariate Gamma function-based microgenetic algorithms

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INVERSE PROBLEMS IN SCIENCE AND ENGINEERING 2019年第8期27卷 1038-1056页

作者： Lee, Sang-Youl Andong Natl Univ Dept Civil Engn Andong Gyeongsangbuk D South Korea

This study deals with an identification of stiffness reduction and response predictions occurred by the delamination damage in laminated composite plates under impact loads. Combined bivariate Gamma function and microgenetic algorithms are developed to determine the crack region due to the delamination and predict future responses. The validity of the proposed method was verified using impact-induced data obtained from a two-dimensional delamination finite element model. Examples indicated that the proposed approach is a feasible and advantageous method through which future dynamic responses can be predicted and the distribution of the degraded stiffness of laminated composite structures can be inspected for different measuring locations and fibre angles.

关键词： Delamination crack detection 2D-composite damage model bivariate Gamma function microgenetic algorithm response prediction

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An adaptive overcurrent protection system applied to distribution systems

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COMPUTERS & ELECTRICAL ENGINEERING 2020年第0期81卷 106545-000页

作者： Nascimento, Jamile P. Brito, Nubia S. D. Souza, Benemar A. Univ Fed Campina Grande Dept Elect Engn Campina Grande Paraiba Brazil

In this paper, an innovative adaptive directional overcurrent protection system for electric power distribution systems with respect to distributed generation is proposed. The proposed system supervises network topology based on the monitoring functionality of numerical relays. The system detects any changes in the configuration and recalculates the directional overcurrent protection settings by using a microgenetic algorithm. The proposed system was evaluated for several operating scenarios and insertion levels of distributed generation, and then compared with both conventional and adaptive protection systems by means of a traditional genetic algorithm. The results showed that the performance of the proposed system is superior to the other two methods in terms of both speed and selectivity. This shows that this is a promising proposal for the protection of modern electric power distribution systems. (C) 2020 Elsevier Ltd. All rights reserved.

关键词： Adaptive protection system Distributed generation Directional overcurrent relay microgenetic algorithm

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ECOMSNet - An edge computing-based sensory network for real-time water level prediction and correction

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ENVIRONMENTAL MODELLING & SOFTWARE 2020年 131卷 104771-104771页

作者： Yang, Tsun-Hua Wang, Chia-Wei Lin, Sheng-Jhe Natl Chiao Tung Univ Dept Civil Engn 1001 Univ Rd Hsinchu 300 Taiwan

Water level monitoring and forecasting are essential tasks in flood emergency response. This study proposes an Edge COMputing-based Sensory NETwork (ECOMSNet), an innovative decentralized early warning system (EWS), for water level monitoring and prediction. A sensor-embedded algorithm integrates the direct step method (DSM) with a microgenetic algorithm (MGA). This algorithm predicts the water surface profile and corrects it once water level observations are available. It also meets efficiency requirements to accommodate sensor computation limitations. The errors in the predicted water surface profiles in channels with gradually varied flows are 5% in a laboratory flume experiment and below 10% in a field experiment. The ECOMSNet is an achievement of edge computing-based Internet of Things. It shows potential to increase emergency response efficiency. However, the system requires further refinement and testing if it is to adequately address rapidly varied unsteady flow in a scaled-up implementation.

关键词： Early warning system Edge computing IoT microgenetic algorithm Water level prediction

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Approach of hybrid PBIL control in distributed generation parameters for IEEE and real time Indian utility system

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IET RENEWABLE POWER GENERATION 2017年第2期11卷 254-262页

作者： Nayanatara, Chandrasekaran Baskaran, Jeevarathinam Kothari, Dwarkadas Pralhaddas Sri SaiRam Engn Coll Madras Tamil Nadu India Adhiparasakthi Engn Coll Melmaruvathur India Gaikwad Patil Grp Inst Nagpur Maharashtra India

This study presents a method for regulation parameters of a distributed generation (DG) system by means of a hybrid optimisation algorithm. This aims in increasing the stability and reducing the losses and the cost of generation. The hybrid algorithm which includes probability based incremental learning and micro genetic algorithm are tested among other computational intelligence techniques to validate the efficiency of the method by maximising the total social welfare and minimising the network congestion. Simultaneous optimisation of DG parameters which includes DG size, location and type is explored using generation rescheduling and with load curtailment which is vindicated on a modified IEEE distribution system and in a real time Indian utility system. Results show us that the proposed method presents advantages of low computational complexity.

关键词： distributed power generation power generation control power distribution control learning (artificial intelligence) probability genetic algorithms power generation scheduling power system stability computational complexity power engineering computing hybrid PBIL control probability based incremental learning distributed generation parameters real time Indian utility system regulation parameters hybrid optimisation loss reduction generation cost microgenetic algorithm computational intelligence social welfare network congestion generation rescheduling load curtailment modified IEEE distribution system computational complexity

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STUDY AND OPTIMIZATION OF PARAMETERS THAT INFLUENCE THERMOHYDRAULIC PERFORMANCE OF FLOW IN A DUCT WITH TWISTED TAPE INSERT IN CONJUNCTION WITH DIMPLES OVER ITS SURFACE

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JOURNAL OF ENHANCED HEAT TRANSFER 2016年第6期23卷 499-512页

作者： Kishore, P. S. Reddy, V. Koteswara Dheeraj, M. Prem Kumar, K. Pavan Andhra Univ Coll Engn Dept Mech Engn Visakhapatnam 530003 Andhra Pradesh India Govt Polytech Dept Mech Engn Vizianagaram 535002 India Anil Neerukonda Inst Technol & Sci Dept Mech Engn Visakhapatnam 531162 Andhra Pradesh India Gayatri Vidhya Parishad Tech Campus Dept Mech Engn Visakhapatnam 530045 Andhra Pradesh India

Transport of energy across fluids is facilitated within a device called a heat exchanger. The ability to exchange thermal energy within this device is further enhanced by applying various passive and active techniques. In this work, a group of passive techniques were merged to improve the performance of a heat exchanger. A square duct is considered to represent the tube of a heat exchanger as water flows inside the duct. A spiral insert is placed within a square duct and two opposite walls of the duct are dented to impinge hemispherical dimples. The effect of a spiral insert and dimples on heat exchanger performance was observed in ANSYS at various configurations of dimples by keeping the spiral insert unaltered. This study is further extended to analyze and predict the best dimple configuration using optimization techniques such as genetic algorithms (GAs) and microgenetic algorithms (mu GAs). Using a GA, the best thermohydraulic performance is observed when spacing between the dimples is 7.5 mm, 5.5 mm, and 7.5 mm from the edge of the duct surface. The result suggested by a mu GA is also in close agreement with the result of the GA. According to the mu GA, the best thermohydraulic performance is predicted at 7.4 mm, 5.6 mm, and 7.4 mm from the edge of the duct surface.

关键词： square duct with dimples twisted tape insert thermal hydraulic performance factor Nusselt number dimple pattern dimple size genetic algorithm microgenetic algorithm optimization laminar flow heat transfer augmentation

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A Hybrid Application Based on Expert Knowledge for Solving the Switches Placement Problem in Distribution Networks

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JOURNAL OF CONTROL AUTOMATION AND ELECTRICAL SYSTEMS 2014年第2期25卷 252-261页

作者： Alves, Helton do Nascimento Inst Fed Maranhao IFMA Dept Elect Engn BR-65030000 Sao Luis MA Brazil

In planning a distribution network, after routing newly feeders, optimal placement of sectionalizers and tie switches is an important task. However, it is very difficult for planners to select the optimal place of tie switches and sectionalizers, because too many candidate locations exist. In this paper, tie switches and sectionalizers placement problem on radial distribution networks are formulated, and a microgenetic algorithm (MGA) in conjunction with fuzzy logic (FL) is proposed as solution. A FL is used to apply expert knowledge that takes into load priority and failure rate and a MGA is used to considerate reliability indices. The costs associated with installation of switches are shown. A 104-bus test system is presented and the results are compared to the solution given by other techniques. This comparison confirms the efficiency of the proposed method which makes it promising to solve complex problems of tie switches and sectionalizers placement in radial distribution networks.

关键词： Distribution networks Expert knowledge Fuzzy logic microgenetic algorithm Tie switches and sectionalizers placement

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Optimization of composite sandwich cylinders for underwater vehicle application

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COMPOSITE STRUCTURES 2013年第Feb.期96卷 691-697页

作者： Lee, Gyeong-Chan Kweon, Jin-Hwe Choi, Jin-Ho Gyeongsang Natl Univ Dept Aerosp Engn Res Ctr Aircraft Parts Technol Jinju 660701 Gyeognam South Korea Gyeongsang Natl Univ Sch Mech Engn Res Ctr Aircraft Parts Technol Jinju 660701 Gyeognam South Korea

This study aims to use optimization to increase the design load of composite sandwich cylinders under external hydrostatic pressure. Unlike other studies that only consider buckling, this study took into account both buckling and material failure. *** was used for the finite element analysis, while a micro-genetic algorithm was used for the optimization. The finite element model was validated by comparison with the experiment results, and the result of the optimization using the finite element method was validated by comparison with the result of the feasible region analysis. Based on the optimization, as the thickness of the sandwich increases, the buckling load becomes larger than the material failure. Consequently, the optimum point is determined by material failure. The current results suggest that both the buckling and the static material failure should be considered in the design of the composite sandwich cylinder. (C) 2012 Elsevier Ltd. All rights reserved.

关键词： Sandwich Composite cylinders Optimization microgenetic algorithm

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Application of the hybrid algorithm combining ant colony optimization algorithm with microgenetic algorithm to the optimization of multilayered radar absorbing coating

Application of the hybrid algorithm combining ant colony opt...

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International Conference on Microwave and Millimeter Wave Technology

作者： Chao, Kun Liu, Yunlin Yang, Rugui SW Jiaotong Univ Inst Electromagnet Chengdu 610031 Peoples R China

ISBN: (纸本)9781424418794

A new optimization technique based on the hybrid algorithm combining ant colony optimization algorithm with microgenetic algorithm is presented for the design of multilayered radar absorbing materials. During the optimization procedure the optimization constrained conditions are different in order to meet the practical requirements in the different frequency bands between 2 GHz and 18 GHz, and the multilayered radar absorbing materials is also designed for a given maximum total thickness. The effects of the thickness and the number of layers on the optimization results are discussed in detail. The numerical results show that this new hybrid algorithm can obtain a better solution than that of the genetic algorithm.

关键词： multilayered radar absorbing materials hybrid algorithm ant colony optimization algorithm microgenetic algorithm

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Application of the Hybrid algorithm Combining Ant Colony Optimization algorithm with microgenetic algorithm to the Optimization of Multilayered Radar Absorbing Coating

Application of the Hybrid Algorithm Combining Ant Colony Opt...

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2008 International Conference on Microwave and Millimeter Wave Technology(2008国际微波毫米波技术会议)

作者： Kun Chao Yunlin Liu Rugui Yang Electromagnetics Institute Southwest Jiaotong University Chengdu 610031China

A new optimization technique based on the hybrid algorithm combining ant colony optimization algorithm with microgenetic algorithm is presented for the design of muitilayered radar absorbing materials. During the optimization procedure the optimization constrained conditions are different in order to meet the practical requirementsInthe different frequency bands between 2 GHz and 18 GHz,and the muitilayered radar absorbing materials is also designed for a given maximum total thickness. The effects of the thickness and the number of layers on the optimization results are discussedIndetail. The numerical results show thatThis new hybrid algorithm can obtain a better solution than that of the genetic algorithm.

关键词： Index Terms-multilayered radar absorbing materials hybrid algorithm ant colony optimization algorithm microgenetic algorithm

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Optimization of Inductors Using Evolutionary algorithms and Its Experimental Validation

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IEEE TRANSACTIONS ON MAGNETICS 2010年第8期46卷 3393-3396页

作者： Watanabe, Kota Campelo, Felipe Iijima, Yosuke Kawano, Kenji Matsuo, Tetsuji Mifune, Takeshi Igarashi, Hajime Hokkaido Univ Grad Sch Informat & Technol Sapporo Hokkaido 0600814 Japan Univ Fed Minas Gerais Dept Engn Eletr BR-31720901 Belo Horizonte MG Brazil Taiyo Yuden Co Takasaki Gunma 3703347 Japan Kyoto Univ Grad Sch Engn Kyoto 6158510 Japan

This paper presents parameter and topology optimization of inductor shapes using evolutionary algorithms. The goal of the optimization is to reduce the size of inductors satisfying the specifications on inductance values under weak and strong bias-current conditions. The inductance values are computed from the finite-element (FE) method taking magnetic saturation into account. The result of the parameter optimization, which leads to significant reduction in the volume, is realized for test, and the dependence of inductance on bias currents is experimentally measured, which is shown to agree well with the computed values. Moreover, novel methods are introduced for topology optimization to obtain inductor shapes with homogeneous ferrite cores suitable for mass production.

关键词： Finite-element (FE) method immune algorithm inductor microgenetic algorithm topology optimization

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