Effect of Variable Selection on Multidisciplinary Design Optimization: a Flight Vehicle Example

Roshanian, Jafar; Keshavarz, Z

doi:10.1016/s1000-9361(07)60012-0

Cited by 20 publications

(10 citation statements)

References 10 publications

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“…V I can be expressed as (9) where I si is the vacuum specific impulse of the engine in the ith stage, μ ki is the propellant mass ratio in the ith stage, namely, the ratio of propellant mass m pi in the ith sub-stage to initial mass m 0i in the ith stage.…”

Section: Calculation Of Propellant Mass Of Each Stagementioning

confidence: 99%

Multidisciplinary integrated design of long-range ballistic missile using PSO algorithm

Gao

Jing

et al. 2020

J. of Syst. Eng. Electron.

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In the case of the given design variables and constraint functions, this paper is concerned with the rapid overall parameters design of trajectory, propulsion and aerodynamics for long-range ballistic missiles based on the index of the minimum takeoff mass. In contrast to the traditional subsystem independent design, this paper adopts the research idea of the combination of the subsystem independent design and the multisystem integration design. Firstly, the trajectory, propulsion and aerodynamics of the subsystem are separately designed by the engineering design, including the design of the minimum energy trajectory, the computation of propulsion system parameters, and the calculation of aerodynamic coefficient and dynamic derivative of the missile by employing the software of missile DATCOM. Then, the uniform design method is used to simplify the constraint conditions and the design variables through the integration design, and the accurate design of the optimized variables would be accomplished by adopting the uniform particle swarm optimization (PSO) algorithm. Finally, the automation design software is written for the three-stage solid ballistic missile. The takeoff mass of 29 850 kg is derived by the subsystem independent design, and 20 constraints are reduced by employing the uniform design on the basis of 29 design variables and 32 constraints, and the takeoff mass is dropped by 1 850 kg by applying the combination of the uniform design and PSO. The simulation results demonstrate the effectiveness and feasibility of the proposed hybrid optimization technique.

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Section: Calculation Of Propellant Mass Of Each Stagementioning

confidence: 99%

Multidisciplinary integrated design of long-range ballistic missile using PSO algorithm

Gao

Jing

et al. 2020

J. of Syst. Eng. Electron.

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“…According to the structural characteristics of crane boom [10] to determine the design variables as shown in table 3, variable interval is determined based on original structure size. (1):…”

Section: Figure 4 Multi-objective Optimization Design Flow Chartmentioning

confidence: 99%

Light-weight Design of Tower Crane Boom Structure Based on Multi-objective Optimization

Jia¹,

Wan²

2016

Proceedings of the 2015 International Conference on Mechanical Science and Engineering

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A finite element model of QTZ5010 tower arm is established by using ANSYS parameter design language (APDL), through static simulation, the stress and strain distribution and its strength and stiffness margin is obtained. With the cross sectional dimensions as the design variables and stress and strain of boom under extreme working conditions as restrain conditions, the mathematical optimization model is established. The fuzzy algorithm and genetic algorithm are used to calculate iteratively for minimal mass. Analysis results show that boom mass reduces by 309kg and realizes its structural light-weighting design. Compares with the original structure, the optimized structure strength no significant drop, still meet the requirements of the specification and design of tower crane.

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“…Nowadays, many complex MEMS devices are designed and fabricated thanks to the advances in microfabrication techniques [ 26 ]. A proper optimization process of MEMS devices is challenged by the increase in design complexity and the coupling in multiple physical domains [ 27 ]. The analysis and optimization of a MEMS device is computationally expensive.…”

Section: Sensitivity Analysis Of Output Capacitance and Resonance mentioning

confidence: 99%

Robust Optimization of a MEMS Accelerometer Considering Temperature Variations

Liu

Feng

Bao

et al. 2015

Sensors

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A robust optimization approach for a MEMS accelerometer to minimize the effects of temperature variations is presented. The mathematical model of the accelerometer is built. The effects of temperature variations on the output performance of the accelerometer are determined, and thermal deformation of the accelerometer is analyzed. The deviations of the output capacitance and resonance frequency due to temperature fluctuations are calculated and discussed. The sensitivity analysis method is employed to determine the design variables for robust optimization and find out the key structural parameters that have most significant influence on the output capacitance and resonance frequency of the accelerometer. The mathematical model and procedure for the robust optimization of the accelerometer are proposed. The robust optimization problem is solved and discussed. The robust optimization results show that an optimized accelerometer with high sensitivity, high temperature robustness and decoupling structure is finally obtained.

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Effect of Variable Selection on Multidisciplinary Design Optimization: a Flight Vehicle Example

Cited by 20 publications

References 10 publications

Multidisciplinary integrated design of long-range ballistic missile using PSO algorithm

Multidisciplinary integrated design of long-range ballistic missile using PSO algorithm

Light-weight Design of Tower Crane Boom Structure Based on Multi-objective Optimization

Robust Optimization of a MEMS Accelerometer Considering Temperature Variations

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