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Robust optimization design of a flying wing using adjoint and uncertainty-based aerodynamic optimization approach
Robust optimization design is significant and urgently required for the fly wings, owing to its unique characteristics. However, there is a lack of...
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A novel polynomial chaos expansion-based method for feedback-coupled multidisciplinary design optimization under metamodel uncertainty
Uncertainty-based multidisciplinary design optimization (UMDO) is a practical methodology to cope with uncertainties in the design of sophisticated...
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Reliability-based optimal tolerance design of mechanical systems including epistemic uncertainty
As an essential step of product design, tolerance design plays a critical role in reducing manufacturing costs while ensuring mechanical assemblies’...
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Multimodal transportation routing optimization based on multi-objective Q-learning under time uncertainty
Multimodal transportation is a modern way of cargo transportation. With the increasing demand for cargo transportation, higher requirements are being...
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Design optimization of external engagement cylindrical gear flowmeter under uncertainty
The purpose of this study is to determine the reasonable structural parameters of the external engagement cylindrical gear flowmeter (EGF) under the...
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A robust-based fatigue optimization method for systems subject to uncertainty
A robust design method based on fatigue for stochastic problems is proposed. In most cases, fatigue analyses of structures are performed by assuming...
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Non-probabilistic reliability-based topology optimization against loading uncertainty field with a bounded field model
This paper presents a non-probabilistic reliability-based topology optimization under the distributed loading uncertainty, in which the loading...
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Cooperative Optimization of Bus-Subway-Shared Bicycle Based on Uncertainty Theory
This research considered the uncertainty of the operation time of shared bicycle, constructed the urban coupling network, and established the...
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Feature-Based Uncertainty Quantification
This chapter demonstrates how the response feature approach can be incorporated into uncertainty quantification procedures, especially for estimation...
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Navigating Uncertainty in Weapon System-of-Systems Planning: A Hybrid Multiobjective Network-Based Optimization and Fuzzy Set Approach
The evaluation of the capability of network-based systems of systems has replaced the simple method that considers return on investment, becoming a...
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Application of Artificial Intelligence on the Uncertainty Quantification Behavior of Creep Rock and Reliability-Based Optimization Design of Deep Tunnel
This work aims at optimizing the support system of deep tunnel constructed in creep rock formation. For this purpose, the probabilistic inversion...
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Constrained efficient global multidisciplinary design optimization using adaptive disciplinary surrogate enrichment
Surrogate-based optimization has become a popular approach for solving problems with computationally expensive disciplinary solvers. Recently, the...
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Design and management of stand-alone turbo-expander-based microgrid with considering the uncertainty of input natural gas
The turbo-expanders (TE) can be used instead of pressure regulators at pressure reduction stations (PRS). In this case, besides reducing the pressure...
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A general integrated procedure for uncertainty-based design optimization of multilevel systems by hierarchical decomposition framework
Several subsystems with hierarchical relationship compose a multilevel system, each of which may have uncertainties in material properties and...
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Reliability-based design optimization of offshore wind turbine support structures using RBF surrogate model
An efficient reliability-based design optimization method for the support structures of monopile offshore wind turbines is proposed herein. First,...
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Flexible-constrained time-variant hybrid reliability-based design optimization
Only the worst-case scenario is considered in most studies when conducting reliability-based design optimization under hybrid uncertainties including...
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Multi-scale approach for reliability-based design optimization with metamodel upscaling
For multi-scale materials, the interplay of material and design uncertainties and reliability-based design optimization is complex and very dependent...
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Uncertainty-Based Performance Prediction and Optimization of High-Fluidization Cement Grouting Material Using Machine Learning and Bayesian Inference
In pavement engineering, cement grouting material is widely used to pour into large void asphalt concrete to prepare semi-flexible composite...
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Multidisciplinary robust and reliability-based design optimization of injection molding system
Even a slight reduction in production cost can make a huge impact in a mass manufacturing domain like injection molding. In this paper, we proposed...
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Improved genetic algorithm based on reinforcement learning for electric vehicle front-end structure optimization design
The structural optimization of electric vehicles involves numerous design variables and constraints, making it a complex engineering optimization...
