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Aerodynamic shape optimization on high-speed trains using multi-fidelity surrogate model combined with transit strategy 认领 引用
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作者 Zhiyuan Dai Tian Li +1 位作者 Siniša Krajnović Weihua Zhang 《Acta Mechanica Sinica》 SCIE EI CAS CSCD 2026年第4期576-595,共20页
Engineering problems such as the aerodynamics optimization of high-speed trains(HSTs)that require large-scale numerical simulations necessitate the utilization of multi-fidelity surrogate models to address the inheren... Engineering problems such as the aerodynamics optimization of high-speed trains(HSTs)that require large-scale numerical simulations necessitate the utilization of multi-fidelity surrogate models to address the inherent conflict between accuracy and computational expense.This research presented a multi-fidelity Kriging surrogate modeling method combined with the transit strategy(TMFK),which leverages both low-fidelity and high-fidelity samples to generate the medium-fidelity surrogate model as a transit model.This model is subsequently refined using high-fidelity samples.The efficacy and precision of the TMFK model are evaluated through the single-objective and multi-objective test functions,followed by its application in the optimization of the HST aerodynamic performances.The results indicate that the TMFK surrogate model constructed with the transit model achieves higher accuracy compared to multi-fidelity surrogate models built solely using scaling functions.Moreover,a transit model with higher accuracy is particularly advantageous for establishing high-precision TMFK models.The prediction errors of the aerodynamic drag force of the head car(DH),tail car(DT),and the lift force of the tail car(LT)of the optimal model for the TMFK model are 0.10%,0.87%,and 0.40%,respectively.In the optimal model,the surface pressure on the tail car nose exhibits an increase compared to that of the original model,accompanied by a reduction in the scale of vortices and slipstream velocity in the wake.Consequently,reductions of 1.73%,7.04%,and 18.76%are observed in DH,DT,and LT,respectively.Furthermore,the height of the nose tip,gear region,and the profile of the lower contour line have significant impacts on optimization objectives,particularly on the DT and LT.Notably,the influence of design variables on the DH is relatively minor compared to the effects on the DT and LT. 展开更多
关键词 Multi-fidelity surrogate model Addition scaling Multiplicative scaling High-speed train Aerodynamic multi-optimization
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ARNOLD CIRCULATION AND MULTI-OPTIMAL DYNAMIC CONTROLLING MECHANISMS IN DRAGONFLY WINGS 认领 引用 被引量：3
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作者 Hongxiao Zhao Yajun Yin Zheng Zhong 《Acta Mechanica Solida Sinica》 SCIE EI CSCD 2013年第3期237-244,共8页
This paper aims to reveal the multi-optimal mechanisms for dynamic control in drag- onfly wings. By combining the Arnold circulation with such microano structures as the hollow inside constructions of the pterostigma,... This paper aims to reveal the multi-optimal mechanisms for dynamic control in drag- onfly wings. By combining the Arnold circulation with such microano structures as the hollow inside constructions of the pterostigma, veins and spikes, dragonfly wings can create variable mass, variable rotating inertia and variable natural frequency. This marvelous ability enables dragonflies to overcome the contradictory requirements of both light-weight-wing and heavy-weight-wing, and displays the multi-optimal mechanisms for the excellent flying ability and dynamic control capac- ity of dragonflies. These results provide new perspectives for understanding the wings＇ functions and new inspirations for bionic manufactures. 展开更多
关键词 dragonfly wings veins and pterostigma Arnold circulation multi-optimal control-ling mechanism
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A Heuristic on Risk Management System in Goods Transportation Model Using Multi-Optimality by MODI Method 认领 引用
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作者 Md. Ashraful Babu Jahira Tabassum Md. Nazmul Hassan 《Open Journal of Applied Sciences》 2016年第8期539-551,共13页
Transport risk management is one of the predominant issues to any industry for supplying their goods safely and in time to their beneficiaries. Damaging goods or delaying the shipping both make penalty to the company ... Transport risk management is one of the predominant issues to any industry for supplying their goods safely and in time to their beneficiaries. Damaging goods or delaying the shipping both make penalty to the company and also reduce the goodwill of the company. Every way of transportation routes has to be comfy which can make sure the supplies will attain without damaging goods and in time and additionally cost efficiently. In this paper, we find a few not unusual risks which might be concerned about all types of way of routes which include Highway, Waterway, Airway, Railway and so forth. Additionally, we proposed a technique to attain multiple optimal solutions by using Modified Distribution Method (MODI) of a transportation problem. Finally, we reduce the risks by minimizing the possible number of transportation routes using multi-optimality technique of the transportation problem. 展开更多
关键词 Transportation Problem Multi-Optimality Modified Distribution Method (MODI) Risk Factors Transport Risk Management
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Improved Electro Search Algorithm with Intelligent Controller Control System:ESPID Algorithm 认领 引用
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作者 Inayet Hakki Cizmeci Adem Alpaslan Altun 《Intelligent Automation & Soft Computing》 SCIE 2023年第3期2555-2572,共18页
Studies have established that hybrid models outperform single models.The particle swarm algorithm(PSO)-based PID(proportional-integral-derivative)controller control system is used in this study to determine the parame... Studies have established that hybrid models outperform single models.The particle swarm algorithm(PSO)-based PID(proportional-integral-derivative)controller control system is used in this study to determine the parameters that directly impact the speed and performance of the Electro Search(ESO)algorithm to obtain the global optimum point.ESPID algorithm was created by integrating this system with the ESO algorithm.The improved ESPID algorithm has been applied to 7 multi-modal benchmark test functions.The acquired results were compared to those derived using the ESO,PSO,Atom Search Optimization(ASO),and Vector Space Model(VSM)algorithms.As a consequence,it was determined that the ESPID algorithm’s mean score was superior in all functions.Additionally,while comparing the mean duration value and standard deviations,it is observed that it is faster than the ESO algorithm and produces more accurate results than other algorithms.ESPID algorithm has been used for the least cost problem in the production of pressure vessels,which is one of the real-life pro-blems.Statistical results were compared with ESO,Genetic algorithm and ASO.ESPID was found to be superior to other methods with the least production cost value of 5885.452. 展开更多
关键词 Electro search algorithm intelligent PID optimization multi-optimization
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