Dieses Bild zeigt Sinan Xiao

Sinan Xiao

Herr Dr.

Postdoktorand
Institut für Wasser- und Umweltsystemmodellierung (LS3/SimTech)

Kontakt

Pfaffenwaldring 5a
D-70569 Stuttgart
Raum: 2.31

  1. 2024

    1. Xiao S, Nowak W. Failure probability estimation with failure samples: An extension of the two-stage Markov chain Monte Carlo simulation. Mechanical Systems and Signal Processing [Internet]. Februar 2024;212:111300. Verfügbar unter: https://www.sciencedirect.com/science/article/pii/S0888327024001985
  2. 2021 (submitted)

    1. Cheng K, Lu Z, Xiao S, Oladyshkin S, Nowak W. Unified Bayesian inference framework for surrogate modelling: connection between existing techniques and their common fundamentals. Reliability Engineering and System Safety.
  3. 2021

    1. Cheng K, Xiao S, Zhang X, Oladyshkin S, Nowak W. Resampling method for reliability-based design optimization based on thermodynamic integration and parallel tempering. Mechanical Systems and Signal Processing. 2021;156:107630.
    2. Xiao S, Praditia T, Oladyshkin S, Nowak W. Global sensitivity analysis of a CaO/Ca(OH)2 thermochemical energy storage model for parametric effect analysis. Applied Energy [Internet]. 2021;285:116456. Verfügbar unter: https://www.sciencedirect.com/science/article/pii/S0306261921000222
  4. 2020

    1. Xiao S, Oladyshkin S, Nowak W. Forward-reverse switch between density-based and regional sensitivity analysis. Applied Mathematical Modelling. 2020;84:377–92.
    2. Erdal D, Xiao S, Nowak W, Cirpka O. Sampling Behavioral Model Parameters for Ensemble-based Sensitivity Analysis using Gaussian Process Emulation and Active Subspaces. Stochastic Environmental Research and Risk Assessment. 2020;34:1813–30.
    3. Xiao S, Oladyshkin S, Nowak W. Reliability analysis with stratified importance sampling based on adaptive Kriging. Reliability Engineering & System Safety. 2020;197:106852.
  5. 2019

    1. Xiao S, Oladyshkin S, Nowak W. Reliability sensitivity analysis with subset simulation: application to a carbon dioxide storage problem. In: International Conference of Euro Asia Civil Engineering Forum. Stuttgart, Germany: International Conference of Euro Asia Civil Engineering Forum; 2019. (International Conference of Euro Asia Civil Engineering Forum).
    2. Xiao S, Reuschen S, Köse G, Oladyshkin S, Nowak W. Estimation of small failure probabilities based on thermodynamic integration and parallel tempering. Mechanical Systems and Signal Processing. 2019;133:106248.
    3. Wang Y, Xiao S, Lu Z. An efficient method based on Bayes’ theorem to estimate the failure-probability-based sensitivity measure. Mechanical Systems and Signal Processing. 2019;115:607–20.
  6. 2018

    1. Wang Y, Xiao S, Lu Z. A new efficient simulation method based on Bayes’ theorem and importance sampling Markov chain simulation to estimate the failure-probability-based global sensitivity. Aerospace Science and Technology. 2018;79:364–72.
    2. Xiao S, Lu Z, Wang P. Global sensitivity analysis based on distance correlation for structural systems with multivariate output. Engineering Structures. 2018;167:74–83.
    3. Xiao S, Lu Z. Global sensitivity analysis based on Gini’s mean difference. Structural and Multidisciplinary Optimization. 2018;58(4):1523–35.
    4. Xiao S, Lu Z, Wang P. Multivariate Global Sensitivity Analysis Based on Distance Components Decomposition. Risk Analysis. Dezember 2018;38(12):2703–21.
    5. Xiao S, Lu Z. Reliability analysis by combining higher-order unscented transformation and fourth-moment method. ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering. 2018;4(1):04017034.
    6. Wang P, Lu Z, Xiao S. Variance-based sensitivity analysis with the uncertainties of the input variables and their distribution parameters. Communication in Statistics-Simulation and Computation. 2018;47(4):1103–25.
    7. Xiao S, Lu Z, Wang P. Multivariate global sensitivity analysis for dynamic models based on energy distance. Structural and Multidisciplinary Optimization. 2018;57(1):279–91.
    8. Wang P, Lu Z, Zhang K, Xiao S, Yue Z. Copula-based decomposition approach for the derivative-based sensitivity of variance contributions with dependent variables. Reliability Engineering & System Safety. 2018;169:437–50.
  7. 2017

    1. Xiao S, Lu Z, Qin F. Estimation of the generalized Sobol’s sensitivity index for multivariate output model using unscented transformation. Journal of Structural Engineering. 2017;143(5):06016005.
    2. Xiao S, Lu Z, Xu Liyang. Multivariate sensitivity analysis based on the direction of eigen space through principal component analysis. Reliability Engineering & System Safety. 2017;165:1–10.
    3. Xiao S, Lu Z. Structural reliability sensitivity analysis based on classification of model output. Aerospace Science and Technology. 2017;71:52–61.
    4. Wang P, Lu Z, Xiao S. A generalized separation for the variance contributions of input variables and their distribution parameters. Applied Mathematical Modelling. 2017;47:381–99.
  8. 2016

    1. Xiao S, Lu Z. Structural reliability analysis using combined space partition technique and unscented transformation. Journal of Structural Engineering. 2016;142(11):04016089.
    2. Xiao S, Lu Z, Xu Liyang. A new effective screening design for structural sensitivity analysis of failure probability with the epistemic uncertainty. Reliability Engineering & System Safety. 2016;156:1–14.

06/2013 Bachelor of Engineering, Honors College, Northwestern Polytechnical University (China)
09/2013- 06/2018 Doktorand, School of Aeronautics, Northwestern Polytechnical University (China)
Seit 08/2018 Postdoktorand, Institut für Wasser- und Umweltsystemmodellierung, Universität Stuttgart

Globale Sensibilitätsanalysen, Zuverlässigkeitsanalysen

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