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Dimension-reduction integration methods for uncertainty quantification of stochastic systems: a state-of-the-art review on moments estimation
Topical Review | 更新时间:2026-02-13
    • Dimension-reduction integration methods for uncertainty quantification of stochastic systems: a state-of-the-art review on moments estimation

    • 随机系统不确定性量化的降维积分法:矩估计研究现状综述
    • Journal of Reliability Science and Engineering   Issue 4, Pages: 1-25(2025)
    • 作者机构:

      Department of Civil and Environmental Engineering, The Hong Kong Polytechnic University, Hong Kong Special Administrative Region of China 999077, People’s Republic of China

      School of Civil Engineering, Harbin Institute of Technology, Harbin, Heilongjiang 150090, People’s Republic of China

      Department of Civil and Environmental Engineering, Engineering Research Center for Advanced Technology for Large Structural Systems (ATLSS Center), Lehigh University, Bethlehem, PA, United States of America

      School of Transportation Science and Engineering, Harbin Institute of Technology, Harbin, Heilongjiang 150090, People’s Republic of China

    • DOI:10.1088/3050-2454/ae1df9    

      CLC:
    • Received:15 July 2025,

      Revised:2025-10-20,

      Accepted:11 November 2025,

      Online First:02 December 2025,

      Published:2025

    移动端阅览

  • Tao Wang, Da-Gang Lu, You Dong, et al. Dimension-reduction integration methods for uncertainty quantification of stochastic systems: a state-of-the-art review on moments estimation[J]. Journal of Reliability Science and Engineering, 2025, (4): 1-25. DOI: 10.1088/3050-2454/ae1df9.

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