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    Design Optimization with Variable Screening by Interval-Based Sensitivity Analysis 

    Source: ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering:;2024:;Volume ( 010 ):;issue: 003:;page 04024039-1
    Author(s): Qi Chang; Changcong Zhou; Matthias G. R. Faes; Marcos A. Valdebenito
    Publisher: American Society of Civil Engineers
    Abstract: Design optimization problems are very common in engineering practice. Determining their solution may be challenging when many design variables are involved. A means to cope with such large number of design variables consists ...
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    Resilience Assessment under Imprecise Probability 

    Source: ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering:;2024:;Volume ( 010 ):;issue: 002:;page 04024025-1
    Author(s): Cao Wang; Michael Beer; Matthias G. R. Faes; De-Cheng Feng
    Publisher: ASCE
    Abstract: Resilience analysis of civil structures and infrastructure systems is a powerful approach to quantifying an object’s ability to prepare for, recover from, and adapt to disruptive events. The resilience is typically measured ...
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    Limit-State Function Sensitivity under Epistemic Uncertainty: A Convex Model Approach 

    Source: ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering:;2024:;Volume ( 010 ):;issue: 004:;page 04024073-1
    Author(s): Haodong Zhao; Changcong Zhou; Qi Chang; Haotian Shi; Marcos A. Valdebenito; Matthias G. R. Faes
    Publisher: American Society of Civil Engineers
    Abstract: This work proposes a limit-state sensitivity index to identify the input variables of a structure or system which possess a significant impact on its state for the case where the input variables are subject to epistemic ...
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    Interval Fields for Geotechnical Engineering Uncertainty Analysis under Limited Data 

    Source: ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering:;2025:;Volume ( 011 ):;issue: 002:;page 04025004-1
    Author(s): Chengxin Feng; Matteo Broggi; Yue Hu; Matthias G. R. Faes; Michael Beer
    Publisher: American Society of Civil Engineers
    Abstract: Spatial uncertainty is a critical challenge in many engineering fields. To date, probabilistic methods have been applied to describe the uncertainty of engineering parameters with considerable achievements. However, they ...
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    Operator Norm-Based Statistical Linearization to Bound the First Excursion Probability of Nonlinear Structures Subjected to Imprecise Stochastic Loading 

    Source: ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering:;2021:;Volume ( 008 ):;issue: 001:;page 04021086
    Author(s): Peihua Ni; Danko J. Jerez; Vasileios C. Fragkoulis; Matthias G. R. Faes; Marcos A. Valdebenito; Michael Beer
    Publisher: ASCE
    Abstract: This paper presents a highly efficient approach for bounding the responses and probability of failure of nonlinear models subjected to imprecisely defined stochastic Gaussian loads. Typically, such computations involve ...
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