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multidisciplinary design optimization on production scale of underground metal mine

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Journal of Central South University 2013年第5期20卷 1332-1340页

作者：左红艳罗周全管佳林王益伟 School of Resource and Safety Engineering Central South University

In order to ensure overall optimization of the underground metal mine production scale, multidisciplinary design optimization model of production scale which covers the subsystem objective function of income of production, safety and environmental impact in the underground metal mine was established by using multidisciplinary design optimization method. The coupling effects from various disciplines were fully considered, and adaptive mutative scale chaos immunization optimization algorithm was adopted to solve multidisciplinary design optimization model of underground metal mine production scale. Practical results show that multidisciplinary design optimization on production scale of an underground lead and zinc mine reflect the actual operating conditions more realistically, the production scale is about 1.25 Mt/a (Lead and zinc metal content of 160 000 t/a), the economic life is approximately 14 a, corresponding coefficient of production profits can be increased to 15.13%, safety factor can be increased to 5.4% and environmental impact coefficient can be reduced by 9.52%.

关键词： underground metal mines production scale multidisciplinary design optimization adaptive mutative scale chaosoptimization algorithm immunization

Uncertain multidisciplinary design optimization on Next Generation Subsea Production System by Using Surrogate Model and Interval Method

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China Ocean Engineering 2021年第4期35卷 609-621页

作者： WU Jia-hao ZHEN Xing-wei LIU Gang HUANG Yi School of Naval Architecture and Ocean Engineering Dalian University of TechnologyDalian 116024China

The innovative Next Generation Subsea Production System(NextGen SPS)concept is a newly proposed petroleum development solution in ultra-deep water *** definition of NextGen SPS involves several disciplines,which makes the design process *** this paper,the definition of NextGen SPS is modeled as an uncertain multidisciplinary design optimization(MDO)*** deterministic optimization model is formulated,and three concerning disciplines—cost calculation,hydrodynamic analysis and global performance analysis are *** model technique is applied in the latter two *** optimization(CO)architecture is utilized to organize the concerning disciplines.A deterministic CO framework with two disciplinelevel optimizations is proposed *** the uncertainties of design parameters and surrogate models are incorporated by using interval method,and uncertain CO frameworks with triple loop and double loop optimization structure are established *** optimization results illustrate that,although the deterministic MDO result achieves higher reduction in objective function than the uncertain MDO result,the latter is more reliable than the former.

关键词： next generation subsea production system multidisciplinary design optimization uncertain optimization collaborative optimization surrogate model interval method

Effect of Variable Selection on multidisciplinary design optimization:a Flight Vehicle Example

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Chinese Journal of Aeronautics 2007年第1期20卷 86-96页

作者： J.Roshanian Z.Keshavarz MDO Laboratory Aerospace Engineering Department of K.N. Toosi University of Technology East Vafadar blvd 4th Tehranpars sq. 16579 Tehran Iran.

Different multidisciplinary design optimization （MDO） problems are formulated and compared. Two MDO formulations are applied to a sounding rocket in order to optimize the performance of the rocket. In the MDO of the referred vehicle, three disciplines have been considered, which are trajectory, propulsion and aerodynamics. A special design structure matrix is developed to assist data exchange between disciplines. This design process uses response surface method （RSM） for multidisciplinary optimization of the rocket. The RSM is applied to the design in two categories： the propulsion model and the system level. In the propulsion model, RSM determines an approximate mathematical model of the engine output parameters as a function of design variables. In the system level, RSM fits a surface of objective function versus design variables. In the first MDO problem formulation, two design variables are selected to form propulsion discipline. In the second one, three new design variables from geometry are added and finally, an optimization method is applied to the response surface in the system level in order to find the best result. Application of the first developed multidisciplinary design optimization procedure increased accessible altitude （performance index） of the referred sounding rocket by twenty five percents and the second one twenty nine.

关键词： multidisciplinary design optimization sounding rocket central composite design response surface method equation of motion of a rocket

Aircraft robust multidisciplinary design optimization methodology based on fuzzy preference function

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Chinese Journal of Aeronautics 2018年第12期31卷 2248-2259页

作者： Ali Reza BABAEI Mohammad Reza SETAYANDEH Hamid FARROKHFAL Department of Mechanical and Aerospace Engineering Malek-Ashtar University of Technology

This paper presents a Fuzzy Preference Function-based Robust multidisciplinary design optimization(FPF-RMDO) methodology. This method is an effective approach to multidisciplinary systems, which can be used to designer experiences during the design optimization process by fuzzy preference functions. In this study, two optimizations are done for Predator MQ-1 Unmanned Aerial Vehicle(UAV):(A) deterministic optimization and(B) robust optimization. In both problems, minimization of takeoff weight and drag is considered as objective functions, which have been optimized using Non-dominated Sorting Genetic Algorithm(NSGA). In the robust design optimization, cruise altitude and velocity are considered as uncertainties that are modeled by the Monte Carlo Simulation(MCS) method. Aerodynamics, stability and control, mass properties, performance, and center of gravity are used for multidisciplinary analysis. Robust design optimization results show 46% and 42% robustness improvement for takeoff weight and cruise drag relative to optimal design respectively.

关键词： Fuzzy logic multidisciplinary design optimization Preference function Robust design Unmanned Aerial Vehicle(UAV)

Aerodynamic/Stealthy/Structural multidisciplinary design optimization of Unmanned Combat Air Vehicle

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Chinese Journal of Aeronautics 2009年第4期22卷 380-386页

作者： Hu Tianyuan,Yu Xiongqing Key Laboratory of Fundamental Science for National Defense-Advanced design Technology of Flight Vehicle,Nanjing University of Aeronautics and Astronautics,Nanjing 210016,China Key Laboratory of Fundamental Science for National Defense-Advanced design Technology of Flight Vehicle Nanjing University of Aeronautics and Astronautics Nanjing 210016 China

An optimization strategy is proposed to deal with the aerodynamic/stealthy/structural multidisciplinary design optimization （MDO） issue of unmanned combat air vehicle （UCAV）. In applying the strategy, the MDO process is divided into two levels, i.e. system level optimization and subsystem level optimization. The system level optimization is to achieve optimized system objective （or multi-objective） through the adjustment of global external configuration design variables. The subsystem level optimization consists of the aerodynamic/stealthy integrated design and the structural optimization. The aerodynamic/stealthy integrated design aims at achieving the minimum aerodynamic drag coefficient under the constraint of stealthy requirement through the adjustment of local external configuration design variables. The structural optimization is to minimize the structural weight by adjusting the dimefisions of structural components. A flowchart to implement this strategy is presented. The MDO for a flying-wing configuration of UCAV is employed to illustrate the detailed process of the optimization. The results indicate that the overall process of the surrogate-based two-level optimization strategy can be implemented automatically, and quite reasonable results are obtained.

关键词： aircraft design multidisciplinary design optimization aerodynamics radar cross section structure

APPLICATION OF HYBRID GENETIC ALGORITHM IN AEROELASTIC multidisciplinary design optimization OF LARGE AIRCRAFT

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Transactions of Nanjing University of Aeronautics and Astronautics 2013年第2期30卷 109-117页

作者：唐长红万志强 School of Mechanical and Engineering Northwestern Polytechnical University School of Aeronautic Science and Engineering Beijing University of Aeronautics and Astronautics

The genetic/gradient-based hybrid algorithm is introduced and used in the design studies of aeroelastic optimization of large aircraft wings to attain skin distribution,stiffness distribution and design *** program of genetic algorithm is developed by the authors while the gradient-based algorithm borrows from the modified method for feasible direction in MSC/NASTRAN *** the hybrid algorithm,the genetic algorithm is used to perform global search to avoid to fall into local optima,and then the excellent individuals of every generation optimized by the genetic algorithm are further fine-tuned by the modified method for feasible direction to attain the local optima and hence to get global ***,the application effects of hybrid genetic algorithm in aeroelastic multidisciplinary design optimization of large aircraft wing are discussed,which satisfy multiple constraints of strength,displacement,aileron efficiency,and flutter *** application results show that the genetic/gradient-based hybrid algorithm is available for aeroelastic optimization of large aircraft wings in initial design phase as well as detailed design phase,and the optimization results are very ***,the design modifications can be decreased using the genetic/gradient-based hybrid algorithm.

关键词： aeroelasticity multidisciplinary design optimization genetic/gradient-based hybrid algorithm large aircraft

multidisciplinary design optimization OF MECHANISM WITH COORDINATION METHOD BASED ON SENSITIVITY ANALYSIS OF CONSTRAINTS

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MULTIDISCIPLINARY DESIGN OPTIMIZATION OF MECHANISM WITH COOR...

EFFICIENT METHOD FOR multidisciplinary design optimization BY CONSIDERING UNCERTAINTY

2006年中国机械工程学会年会暨中国工程院机械与运载工程学部首届年会

作者： ZHANG Jing, HE Chaoming, LI Bailin School of Mechanical Engineering, Southwest Jiaotong University, Chengdu 610031, China

The optimization of mechanisms is generally done in the field of mechanism itself. In this paper, a multidisciplinary design optimization (MDO) concept is applied to synthesize optimum mechanism. Two

关键词： multidisciplinary design optimization genetic algorithm control.

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Transactions of Nanjing University of Aeronautics and Astronautics 2010年第3期27卷 213-218页

作者：贺谦李元生敖良波温志勋岳珠峰西北工业大学工程力学系

A new reliability-based multidisciplinary design optimization （RBMDO） framework is proposed by combining the single-loop-based reliability analysis （SLBRA） method with multidisciplinary feasible （MDF） method. The Kriging approximate model with updating is introduced to reduce the computational cost of MDF caused by the complex structure. The computational efficiency is remarkably improved as the lack of iterative process during reliability analysis. Special attention is paid to a turbine blade design optimization by adopting the proposed method. Results show that the method is much more efficient than the commonly used double-loop based RBMDO method. It is feasible and efficient to apply the method to the engineering design.

关键词： multidisciplinary design optimization multidisciplinary feasible method single loop method reliability analysis Kriging approximate model

Robust Multiobjective and multidisciplinary design optimization of Electrical Drive Systems

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CES Transactions on Electrical Machines and Systems 2018年第4期2卷 409-416页

作者： Gang Lei Tianshi Wang Jianguo Zhu Youguang Guo School of Electrical and Data Engineering University of Technology SydneySydney2007Australia School of Electrical and Information Engineering The University of SydneyAustralia

design and optimization of electrical drive systems often involve simultaneous consideration of multiple objectives that usually contradict to each other and multiple disciplines that normally coupled to each *** paper aims to present efficient system-level multiobjective optimization methods for the multidisciplinary design optimization of electrical drive *** the perspective of quality control,deterministic and robust approaches will be investigated for the development of the optimization models for the proposed ***,two approximation methods,Kriging model and Taylor expansion are employed to decrease the computation/simulation *** illustrate the advantages of the proposed methods,a drive system with a permanent magnet synchronous motor driven by a field oriented control system is *** and robust Pareto optimal solutions are presented and compared in terms of several steady-state and dynamic performances(like average torque and speed overshoot)of the drive *** robust multiobjective optimization method can produce optimal Pareto solutions with high manufacturing quality for the drive system.

关键词： Electrical drive systems electrical machines multidisciplinary design optimization multiobjective optimization robust design optimization