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    Estimation of Failure Probability Function under Imprecise Probabilities by Active Learning–Augmented Probabilistic Integration 

    Source: ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering:;2021:;Volume ( 007 ):;issue: 004:;page 04021054-1
    Author(s): Chao Dang; Pengfei Wei; Jingwen Song; Michael Beer
    Publisher: ASCE
    Abstract: Imprecise probabilities have gained increasing popularity for quantitatively modeling uncertainty under incomplete information in various fields. However, it is still a computationally challenging task to propagate imprecise ...
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    Bayesian Model Updating in Time Domain with Metamodel-Based Reliability Method 

    Source: ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering:;2021:;Volume ( 007 ):;issue: 003:;page 04021030-1
    Author(s): Masaru Kitahara; Sifeng Bi; Matteo Broggi; Michael Beer
    Publisher: ASCE
    Abstract: In this study, a two-step approximate Bayesian computation (ABC) updating framework using dynamic response data is developed. In this framework, the Euclidian and Bhattacharyya distances are utilized as uncertainty ...
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    Interval Predictor Model for the Survival Signature Using Monotone Radial Basis Functions 

    Source: ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering:;2024:;Volume ( 010 ):;issue: 003:;page 04024034-1
    Author(s): Jasper Behrensdorf; Matteo Broggi; Michael Beer
    Publisher: American Society of Civil Engineers
    Abstract: This research describes a novel method for approximating the survival signature for very large systems. In recent years, the survival signature has emerged as a capable tool for the reliability analysis of critical ...
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    Risk Assessment of Spent Nuclear Fuel Facilities Considering Climate Change 

    Source: ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering:;2017:;Volume ( 003 ):;issue: 002
    Author(s): Silvia Tolo; Edoardo Patelli; Michael Beer
    Publisher: American Society of Civil Engineers
    Abstract: Natural hazards have the capability to affect technological installations, triggering multiple failures and putting the population and the surrounding environment at risk. Global climate change introduces an additional and ...
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    Softening Duffing Oscillator Reliability Assessment Subject to Evolutionary Stochastic Excitation 

    Source: ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering:;2016:;Volume ( 002 ):;issue: 002
    Author(s): Ioannis A. Kougioumtzoglou; Yuanjin Zhang; Michael Beer
    Publisher: American Society of Civil Engineers
    Abstract: An approximate analytical technique for assessing the reliability of a softening Duffing oscillator subject to evolutionary stochastic excitation is developed. Specifically, relying on a stochastic averaging treatment of ...
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    Softening Duffing Oscillator Reliability Assessment Subject to Evolutionary Stochastic Excitation 

    Source: ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering:;2016:;Volume ( 002 ):;issue: 002
    Author(s): Ioannis A. Kougioumtzoglou; Yuanjin Zhang; Michael Beer
    Publisher: American Society of Civil Engineers
    Abstract: An approximate analytical technique for assessing the reliability of a softening Duffing oscillator subject to evolutionary stochastic excitation is developed. Specifically, relying on a stochastic averaging treatment 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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    Response Determination of Nonlinear Systems with Singular Matrices Subject to Combined Stochastic and Deterministic Excitations 

    Source: ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering:;2021:;Volume ( 007 ):;issue: 004:;page 04021049-1
    Author(s): Peihua Ni; Vasileios C. Fragkoulis; Fan Kong; Ioannis P. Mitseas; Michael Beer
    Publisher: ASCE
    Abstract: A new technique is proposed for determining the response of multi-degree-of-freedom nonlinear systems with singular parameter matrices subject to combined stochastic and deterministic excitations. Singular matrices in the ...
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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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    Estimation of Response Expectation Bounds under Parametric P-Boxes by Combining Bayesian Global Optimization with Unscented Transform 

    Source: ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering:;2024:;Volume ( 010 ):;issue: 002:;page 04024017-1
    Author(s): Chen Ding; Chao Dang; Matteo Broggi; Michael Beer
    Publisher: ASCE
    Abstract: In engineering analysis, propagating parametric probability boxes (p-boxes) remains a challenge because a computationally expensive nested solution scheme is involved. To tackle this challenge, this paper proposes a novel ...
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