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Consecutive adaptive Kriging method for high-dimensional reliability analysis based on multi-fidelity framework
Reliability is a critical factor in the design of engineering systems. Consequently, numerous adaptive Kriging methods have been investigated to...
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An efficient adaptive kriging refinement method for reliability analysis with small failure probability
Estimating the small failure probability of highly reliable structures is often computationally expensive in reliability analysis. The adaptive...
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A novel adaptive sampling strategy for the Kriging surrogate-based control co-design method in the dynamic system
When solving the physical-control collaborative optimization problem, referred to as control co-design (CCD) problem, in dynamic system, it is...
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On efficient time-dependent reliability analysis method through most probable point-oriented Kriging model combined with importance sampling
Time-dependent reliability analysis (TRA) has attracted widespread attention due to its viability in evaluating the reliability of structures during...
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An adaptive dual-Kriging method based on parameter sensitivity analysis and application to vibration reduction optimization of helicopter rotor test-bed
The surrogate-based model optimization method has been successfully applied in various engineering optimization problems across multiple fields....
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A new empirical chart for coal burst liability classification using Kriging method
Coal burst is a catastrophic event that induced by a large variety of certainty and uncertainty factors, and many methods have been proposed to...
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A Kriging-assisted two-stage adaptive radial-based importance sampling method for random-interval hybrid reliability analysis
For uncertain structures with the coexisting random and interval inputs, effectively estimating the lower and upper bounds of failure probability is...
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Optimization of aero-engine combustion chambers with the assistance of Hierarchical-Kriging surrogate model based on POD downscaling method
In view of the long calculation cycle, high processing test and cost of the traditional aero-engine combustion chamber design process, which...
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An adaptive Kriging reliability analysis method based on novel condition likelihood function
To carry out the reliability analysis, whose performance functions are presented in a nonlinear form, many studies propose the reliability analysis...
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A high-dimensional optimization method combining projection correlation-based Kriging and multimodal parallel computing
In surrogate-based optimization (SBO), the recognized issues associated with the high-dimensional surrogate models focus on the prohibitive...
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A robust prediction method based on Kriging method and fuzzy c-means algorithm with application to a combine harvester
In real-world problems, engineering data often suffer from outliers due to deficiencies in measurement techniques, recording errors, or other...
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Novel reliability evaluation method combining active learning kriging and adaptive weighted importance sampling
To ensure the reliability of complex structures, a novel reliability assessment method combining an active learning kriging (ALK) model with adaptive...
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A new reliability method combining adaptive Kriging and active variance reduction using multiple importance sampling
This article describes a new adaptive Kriging method combined with adaptive importance sampling approximating the optimal auxiliary by iteratively...
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An innovative adaptive Kriging-based parallel system reliability method under error stop** criterion for efficiently analyzing the global reliability sensitivity index
Global reliability sensitivity index measures the effect of uncertainty of model input on model failure probability, which is critical for...
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Soft Tissue Deformation Modeling in the Procedure of Needle Insertion: A Kriging-Based Method
The simulation and planning system (SPS) requires accurate and real-time feedback regarding the deformation of soft tissues during the needle...
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Application of Adaptive Kriging Method in Bridge Girder Reliability Analysis
Monte Carlo Simulation (MCS) is typically employed to calculate the reliability of nonlinear limit states. Millions of trials are required in MCS to...
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An iterative interval analysis method based on Kriging-HDMR for uncertainty problems
In recent years, growing attention has been paid to the interval investigation of uncertainty problems. However, the contradiction between accuracy...
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Post-buckling Reliability and Sensitivity Analysis of Composite Stiffened Plates Based on Adaptive Kriging Method
Based on the active learning Kriging (ALK) model and the Hashin failure criterion, this paper proposes a new reliability evaluation model for...
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SBSC+SRU: an error-guided adaptive Kriging method for expensive system reliability analysis
In this paper, SBSC+SRU: an error-guided adaptive Kriging modeling method is proposed for the system reliability analysis with multiple failure...
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Multi-fidelity Modeling via Regression-Based Hierarchical Kriging
Advances in computational technology have enabled engineers to obtain large amounts of data efficiently. However, generating datasets from a single...