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    Analytic Probabilistic Safety Analysis under Severe Uncertainty 

    Source: ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering:;2020:;Volume ( 006 ):;issue: 001
    Author(s): Jonathan Sadeghi; Marco de Angelis; Edoardo Patelli
    Publisher: ASCE
    Abstract: Exact analytic expressions are given to evaluate the reliability of systems consisting of components, connected in parallel or series, subject to imprecise failure distributions. We also proposed a simplified version of ...
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    Forced Monte Carlo Simulation Strategy for the Design of Maintenance Plans with Multiple Inspections 

    Source: ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering:;2017:;Volume ( 003 ):;issue: 002
    Author(s): Marco de Angelis; Edoardo Patelli; Michael Beer
    Publisher: American Society of Civil Engineers
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    Uncertainty Propagation of Missing Data Signals with the Interval Discrete Fourier Transform 

    Source: ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering:;2023:;Volume ( 009 ):;issue: 003:;page 04023022-1
    Author(s): Marco Behrendt; Marco de Angelis; Michael Beer
    Publisher: ASCE
    Abstract: The interval discrete Fourier transform (DFT) algorithm can propagate signals carrying interval uncertainty. By addressing the repeated variables problem, the interval DFT algorithm provides exact theoretical bounds on the ...
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