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    Advanced Robust Optimization With Interval Uncertainty Using a Single Looped Structure and Sequential Quadratic Programming 

    Source: Journal of Mechanical Design:;2014:;volume( 136 ):;issue: 002:;page 21008
    Author(s): Zhou, Jianhua; Li, Mian
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Uncertainty is inevitable and has to be taken into consideration in engineering optimization; otherwise, the obtained optimal solution may become infeasible or its performance can degrade significantly. Robust optimization ...
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    Redundancy Allocation for Reliability Design of Engineering Systems With Failure Interactions 

    Source: Journal of Mechanical Design:;2015:;volume( 137 ):;issue: 003:;page 31403
    Author(s): Wang, Jing; Li, Mian
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Optimal allocation of redundancies is one of the most important ways of improving system reliability. Generally, in these redundancy allocation problems, it is assumed that failures of components are independent. However, ...
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    Redundancy Allocation Optimization for Multistate Systems With Failure Interactions Using Semi Markov Process 

    Source: Journal of Mechanical Design:;2015:;volume( 137 ):;issue: 010:;page 101403
    Author(s): Wang, Jing; Li, Mian
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Failure interactions and multiple states are two common phenomena in engineering systems. However, most of the redundancy allocation problems assume binary states and ignore failure interactions, which will cause inaccurate ...
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    Redundancy Allocation for Multistate Systems With Component Dependencies and Load Sharing 

    Source: Journal of Mechanical Design:;2016:;volume( 138 ):;issue: 011:;page 111403
    Author(s): Wang, Jing; Li, Mian
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Binary-state and component independent assumptions will lead to doubtful and misleading redundancy allocation schemes which may not satisfy the reliability requirements for real engineering applications. Most published ...
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    Robust Tolerance Optimization for Internal Combustion Engines Under Parameter and Model Uncertainties Considering Metamodeling Uncertainty From Gaussian Processes 

    Source: Journal of Computing and Information Science in Engineering:;2018:;volume( 018 ):;issue: 004:;page 41011
    Author(s): Zhang, Yanjun; Li, Mian
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: As the core component of an automobile, the internal combustion engine (ICE) nowadays is still a typical complex engineering system. Tolerance design for ICEs is of great importance since small changes in the dimensions ...
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    A Sequential Approach for Robust Multidisciplinary Design Optimization Under Mixed Interval and Probabilistic Uncertainties 

    Source: ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part B: Mechanical Engineering:;2019:;volume( 005 ):;issue:002:;page 20905
    Author(s): Xia, Tingting; Li, Mian
    Publisher: American Society of Mechanical Engineers (ASME)
    Abstract: Uncertainties cannot be ignored in the design process of complex multidisciplinary systems. Robust multidisciplinary design optimization methods (RMDOs) can treat uncertainties as specified probabilistic distributions when ...
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    An Efficient Multi-Objective Robust Optimization Method by Sequentially Searching From Nominal Pareto Solutions 

    Source: Journal of Computing and Information Science in Engineering:;2021:;volume( 021 ):;issue: 004:;page 041010-1
    Author(s): Xia, Tingting; Li, Mian
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Multi-objective optimization problems (MOOPs) with uncertainties are common in engineering design. To find robust Pareto fronts, multi-objective robust optimization (MORO) methods with inner–outer optimization structures ...
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    A Circle Intersection Method for Bi-Objective Optimization 

    Source: Journal of Computing and Information Science in Engineering:;2021:;volume( 021 ):;issue: 006:;page 061004-1
    Author(s): Zhou, Jianhua; Li, Mian; Fu, Xiaojin
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Multi-objective optimization (MOO) problems are encountered in many applications, of which bi-objective problems are frequently met. Despite the computational efforts, the quality of the Pareto front is also a considerable ...
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    Low-Cycle Fatigue Lifetime Estimation and Predictive Maintenance for a Gas Turbine Compressor Vane Carrier Under Varying Operating Conditions 

    Source: Journal of Mechanical Design:;2021:;volume( 143 ):;issue: 007:;page 072003-1
    Author(s): Han, Zixi; Jiang, Zixian; Ehrt, Sophie; Li, Mian
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: In the age of Industry 4.0, the capability of health management is critical to the design and maintenance of gas turbines. This study presents a probabilistic method to estimate the low-cycle fatigue (LCF) life of a gas ...
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    A New Hybrid Algorithm for Multi Objective Robust Optimization With Interval Uncertainty 

    Source: Journal of Mechanical Design:;2015:;volume( 137 ):;issue: 002:;page 21401
    Author(s): Cheng, Shuo; Zhou, Jianhua; Li, Mian
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Uncertainty is a very critical but inevitable issue in design optimization. Compared to singleobjective optimization problems, the situation becomes more difficult for multiobjective engineering optimization problems under ...
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