This image shows Sinan Xiao

Sinan Xiao

Dr.

Postdoc
Institute for Modelling Hydraulic and Environmental Systems (LS3/SimTech)

Contact

+49 711 685 60979

Pfaffenwaldring 5a
D-70569 Stuttgart
Room: 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]. 2024 Feb;212:111300. Available from: 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. Available from: 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, 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.
    2. 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).
    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, Wang P. Multivariate Global Sensitivity Analysis Based on Distance Components Decomposition. Risk Analysis. 2018 Dec;38(12):2703–21.
    4. Xiao S, Lu Z. Global sensitivity analysis based on Gini’s mean difference. Structural and Multidisciplinary Optimization. 2018;58(4):1523–35.
    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. 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.
    8. 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.

  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 PhD student, School of Aeronautics, Northwestern Polytechnical University (China)
Since 08/2018 Postdoc, Institute for Modelling Hydraulic and Environmental Systems, University of Stuttgart

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ResearchGate

Reliability analysis, global sensitivity analysis

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