相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。System reliability analysis based on dependent Kriging predictions and parallel learning strategy
Ning-Cong Xiao et al.
RELIABILITY ENGINEERING & SYSTEM SAFETY (2022)
AK-SESC: a novel reliability procedure based on the integration of active learning kriging and sequential space conversion method
Ala Ameryan et al.
RELIABILITY ENGINEERING & SYSTEM SAFETY (2022)
Active learning for structural reliability: Survey, general framework and benchmark
Maliki Moustapha et al.
STRUCTURAL SAFETY (2022)
Data-driven determination of sample number and efficient sampling locations for geotechnical site investigation of a cross-section using Voronoi diagram and Bayesian compressive sampling
Yu Wang et al.
COMPUTERS AND GEOTECHNICS (2021)
A failure boundary exploration and exploitation framework combining adaptive Kriging model and sample space partitioning strategy for efficient reliability analysis
Kunling Song et al.
RELIABILITY ENGINEERING & SYSTEM SAFETY (2021)
Error Quantification and Control for Adaptive Kriging-Based Reliability Updating with Equality Information
Chi Zhang et al.
RELIABILITY ENGINEERING & SYSTEM SAFETY (2021)
A variable and mode sensitivity analysis method for structural system using a novel active learning Kriging model
Qing Guo et al.
RELIABILITY ENGINEERING & SYSTEM SAFETY (2021)
Adaptive approaches in metamodel-based reliability analysis: A review
Rui Teixeira et al.
STRUCTURAL SAFETY (2021)
Efficient CPT locations for characterizing spatial variability of soil properties within a multilayer vertical cross-section using information entropy and Bayesian compressive sensing
Tengyuan Zhao et al.
COMPUTERS AND GEOTECHNICS (2021)
A fast-convergence algorithm for reliability analysis based on the AK-MCS
Yifang Xiong et al.
RELIABILITY ENGINEERING & SYSTEM SAFETY (2021)
Principal component analysis and sparse polynomial chaos expansions for global sensitivity analysis and model calibration: Application to urban drainage simulation
Joseph B. Nagel et al.
RELIABILITY ENGINEERING & SYSTEM SAFETY (2020)
System reliability analysis by combining structure function and active learning kriging model
Kai Yuan et al.
RELIABILITY ENGINEERING & SYSTEM SAFETY (2020)
First-order reliability method based on Harris Hawks Optimization for high-dimensional reliability analysis
Changting Zhong et al.
STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION (2020)
Smart sampling strategy for investigating spatial distribution of subsurface shallow gas pressure in Hangzhou Bay area of China
Zheng Guan et al.
ENGINEERING GEOLOGY (2020)
EEK-SYS: System reliability analysis through estimation error-guided adaptive Kriging approximation of multiple limit state surfaces
Chen Jiang et al.
RELIABILITY ENGINEERING & SYSTEM SAFETY (2020)
A Two-Level Kriging-Based Approach with Active Learning for Solving Time-Variant Risk Optimization Problems
H. M. Kroetz et al.
RELIABILITY ENGINEERING & SYSTEM SAFETY (2020)
Non-parametric simulation of non-stationary non-gaussian 3D random field samples directly from sparse measurements using signal decomposition and Markov Chain Monte Carlo (MCMC) simulation
Tengyuan Zhao et al.
RELIABILITY ENGINEERING & SYSTEM SAFETY (2020)
REAK: Reliability analysis through Error rate-based Adaptive Kriging
Zeyu Wang et al.
RELIABILITY ENGINEERING & SYSTEM SAFETY (2019)
REIF: A novel active-learning function toward adaptive Kriging surrogate models for structural reliability analysis
Xufang Zhang et al.
RELIABILITY ENGINEERING & SYSTEM SAFETY (2019)
Statistical inference of random field auto-correlation structure from multiple sets of incomplete and sparse measurements using Bayesian compressive sampling-based bootstrapping
Yu Wang et al.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2019)
Simulation of non-stationary non-Gaussian random fields from sparse measurements using Bayesian compressive sampling and Karhunen-Loeve expansion
Silvana Montoya-Noguera et al.
STRUCTURAL SAFETY (2019)
Sample size determination in geotechnical site investigation considering spatial variation and correlation
Yu Wang et al.
CANADIAN GEOTECHNICAL JOURNAL (2019)
Determination of efficient sampling locations in geotechnical site characterization using information entropy and Bayesian compressive sampling
Tengyuan Zhao et al.
CANADIAN GEOTECHNICAL JOURNAL (2019)
Direct simulation of random field samples from sparsely measured geotechnical data with consideration of uncertainty in interpretation
Yu Wang et al.
CANADIAN GEOTECHNICAL JOURNAL (2018)
An innovative adaptive sparse response surface method for structural reliability analysis
Hugo Guimaraes et al.
STRUCTURAL SAFETY (2018)
Statistical interpretation of spatially varying 2D geo-data from sparse measurements using Bayesian compressive sampling
Tengyuan Zhao et al.
ENGINEERING GEOLOGY (2018)
Interpolation of spatially varying but sparsely measured geo-data: A comparative study
Yu Wang et al.
ENGINEERING GEOLOGY (2017)
Statistical interpretation of soil property profiles from sparse data using Bayesian compressive sampling
Y. Wang et al.
GEOTECHNIQUE (2017)
LIF: A new Kriging based learning function and its application to structural reliability analysis
Zhili Sun et al.
RELIABILITY ENGINEERING & SYSTEM SAFETY (2017)
Compressive sensing with an adaptive wavelet basis for structural system response and reliability analysis under missing data
L. Comerford et al.
COMPUTERS & STRUCTURES (2017)
Interpretation of soil property profile from limited measurement data: a compressive sampling perspective
Yu Wang et al.
CANADIAN GEOTECHNICAL JOURNAL (2016)
Bayesian compressive sensing for approximately sparse signals and application to structural health monitoring signals for data loss recovery
Yong Huang et al.
PROBABILISTIC ENGINEERING MECHANICS (2016)
Compressive sensing based stochastic process power spectrum estimation subject to missing data
Liam Comerford et al.
PROBABILISTIC ENGINEERING MECHANICS (2016)
Assessing small failure probabilities by AK-SS: An active learning method combining Kriging and Subset Simulation
Xiaoxu Huang et al.
STRUCTURAL SAFETY (2016)
A new learning function for Kriging and its applications to solve reliability problems in engineering
Zhaoyan Lv et al.
COMPUTERS & MATHEMATICS WITH APPLICATIONS (2015)
POLYNOMIAL-CHAOS-BASED KRIGING
Roland Schoebi et al.
INTERNATIONAL JOURNAL FOR UNCERTAINTY QUANTIFICATION (2015)
DiceKriging,DiceOptim: TwoRPackages for the Analysis of Computer Experiments by Kriging-Based Metamodeling and Optimization
Olivier Roustant et al.
Journal of Statistical Software (2015)
Robust Bayesian Compressive Sensing for Signals in Structural Health Monitoring
Yong Huang et al.
COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING (2014)
Assessment of the efficiency of Kriging surrogate models for structural reliability analysis
B. Gaspar et al.
PROBABILISTIC ENGINEERING MECHANICS (2014)
An improved adaptive kriging-based importance technique for sampling multiple failure regions of low probability
F. Cadini et al.
RELIABILITY ENGINEERING & SYSTEM SAFETY (2014)
Probabilistic characterization of Young's modulus of soil using equivalent samples
Yu Wang et al.
ENGINEERING GEOLOGY (2013)
Application of the Kriging-Based Response Surface Method to the System Reliability of Soil Slopes
J. Zhang et al.
JOURNAL OF GEOTECHNICAL AND GEOENVIRONMENTAL ENGINEERING (2013)
A combined Importance Sampling and Kriging reliability method for small failure probabilities with time-demanding numerical models
B. Echard et al.
RELIABILITY ENGINEERING & SYSTEM SAFETY (2013)
AK-MCS: An active learning reliability method combining Kriging and Monte Carlo Simulation
B. Echard et al.
STRUCTURAL SAFETY (2011)
Multitask Compressive Sensing
Shihao Ji et al.
IEEE TRANSACTIONS ON SIGNAL PROCESSING (2009)
Efficient Global Reliability Analysis for Nonlinear Implicit Performance Functions
B. J. Bichon et al.
AIAA JOURNAL (2008)
An introduction to compressive sampling
Emmanuel J. Candes et al.
IEEE SIGNAL PROCESSING MAGAZINE (2008)
Bayesian compressive sensing
Shihao Ji et al.
IEEE TRANSACTIONS ON SIGNAL PROCESSING (2008)
Signal recovery from random measurements via orthogonal matching pursuit
Joel A. Tropp et al.
IEEE TRANSACTIONS ON INFORMATION THEORY (2007)
Compressed sensing
DL Donoho
IEEE TRANSACTIONS ON INFORMATION THEORY (2006)