A double loop optimization method for gasoline online blending

Author(s):  
Weiheng Chen ◽  
Jun Yang
Author(s):  
Xi Zhang ◽  
Haicheng Tu ◽  
Jianbo Guo ◽  
Shicong Ma ◽  
Zhen Li ◽  
...  

2020 ◽  
Author(s):  
Yanggan Feng ◽  
Chengqiang Mao ◽  
Qining Wang

AbstractGait asymmetry due to the loss of unilateral limb increases the risk of injury or progressive joint degeneration. The development of wearable robotic devices paves a way to improve gait symmetry of unilateral amputees. Moreover, the state-of-the-art studies on human-in-the-loop optimization strategies through decreasing the metabolic cost as the optimization task, have met several challenges, e.g. too long period of optimization and the optimization feasibility for unilateral amputees who have the deficit of gait symmetry. Here, in this paper, we proposed gait-symmetry-based human-in-the-loop optimization method to decrease the risk of injury or progressive joint degeneration for unilateral transtibial amputees. The experimental results (N = 3 unilateral transtibial subjects) demonstrate that only average 9.0±4.1min of convergence was taken. Compared to gait symmetry while wearing prosthetics, after optimization, the gait symmetry indicator value of the subjects wearing the robotic prostheses was improved by 21.0% and meanwhile the net metabolic energy consumption value was reduced by 9.2%. Also, this paper explores the rationality of gait indicators and what kind of gait indicators are the optimization target. These results suggest that gait-symmetry-based human-in-the-loop strategy could pave a practical way to improve gait symmetry by accompanying the reduction of metabolic cost, and thus to decrease the risk of joint injury for the unilateral amputees.


Author(s):  
Bo Yang ◽  
Changzheng Cheng ◽  
Xuan Wang ◽  
Zeng Meng ◽  
Abbas Homayouni-Amlashi

Currently, most of the piezoelectric structures are designed under deterministic conditions, where the influence of uncertain factors on the output motion accuracy is ignored. In this work, a probabilistic reliability-based topology optimization method for piezoelectric structure is proposed to deal with the working voltage uncertainty. A nested double-loop optimization algorithm of minimizing the total volume while satisfying the reliability requirement of the displacement performance is established, where the PEMAP-P (piezoelectric material with penalization and polarization) model is used for parameterization of stiffness matrix, piezoelectric coupling matrix, and polarization direction. This strategy consists of an inner loop for reliability analysis and an outer loop for topology optimization. The reliability index approach based on most probable point (MPP) is used for realizing the evaluation of reliability constraint in reliability analysis. The sensitivities of reliability constraint with respect to the random variables and design variables are detailed using the adjoint variable method. Typical examples are performed to illustrate the effectiveness of the proposed RBTO method. A comparison of the optimization results for different reliability indexes, standard deviations of the voltage, spring stiffnesses, and displacement limits are conducted, as well as the deterministic topology optimization results.


2018 ◽  
Vol 33 (1) ◽  
pp. 116-130 ◽  
Author(s):  
Xu Tan ◽  
Xiao-Chun Ye ◽  
Xiao-Wei Shen ◽  
Yuan-Chao Xu ◽  
Da Wang ◽  
...  

Author(s):  
Ondřej Slowik ◽  
Drahomír Novák

Abstract The paper presents newly developed university software FNPO designed for reliability-based optimization. The program works with a newly proposed optimization method called Aimed Multilevel Sampling (AMS) in the optimization cycle of reliability-based optimization. For simulation at different levels of the algorithm AMS and reliability calculations program uses cyclic calls of program FReET - so called double-loop approach. The developed software enables to optimize model of general complexity with consideration of deterministic and/or reliability constraints.


2016 ◽  
Vol 52 (3) ◽  
pp. 1-4 ◽  
Author(s):  
Dong-Wook Kim ◽  
Byungsu Kang ◽  
K. K. Choi ◽  
Dong-Hun Kim

Sign in / Sign up

Export Citation Format

Share Document