Uncertainty quantification and statistical model validation for an offshore jacket structure panel given limited test data and simulation model

Moon, Min-Yeong; Lee, Kangsu; Park, Byoung-Jae; Choi, Kyung K.

doi:10.1007/s00158-020-02520-8

Cited by 10 publications

(4 citation statements)

References 32 publications

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“…In the case where the first four moments of g are obtained, Equations ( 2)-( 4) are brought into (8) to obtain…”

Section: Principles Of Fourth-moment Methodsmentioning

confidence: 99%

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An Adaptive Kriging-Based Fourth-Moment Reliability Analysis Method for Engineering Structures

Wang,

Xie

et al. 2024

Applied Sciences

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The fourth-moment method can accurately perform a reliability analysis when it is challenging to determine the distribution of the random variable due to limited available samples. This method only utilizes the first four moments of the random variable and constructs the fourth-moment reliability index. However, it cannot be applied in engineering cases where the state function cannot be expressed explicitly, as it becomes difficult to establish a correlation between the first four moments of the random variable and the state function. Simplifying the state function forcefully may result in significant reliability prediction errors. To address this limitation, this study proposes an adaptive Kriging-based fourth-moment method for reliability analysis under complex state equations. The proposed method demonstrates better applicability and efficiency compared to existing methods. Several numerical examples are provided to validate the effectiveness and accuracy of the proposed method.

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“…In the case where the first four moments of g are obtained, Equations ( 2)-( 4) are brought into (8) to obtain…”

Section: Principles Of Fourth-moment Methodsmentioning

confidence: 99%

“…However, in practice, a reliability analysis of structures is usually performed on the basis of limited data [7,8]. In this case, the question of how to fully utilize the limited available samples and perform an accurate reliability analysis has aroused the interest of researchers.…”

Section: Introductionmentioning

confidence: 99%

An Adaptive Kriging-Based Fourth-Moment Reliability Analysis Method for Engineering Structures

Wang,

Xie

et al. 2024

Applied Sciences

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“…Because of its capability on uncertainty, probabilistic analysis is suitable for simulating wave characteristics related to randomness mechanisms such as geometry, material properties, and measurement (i.e., wave load-induced responses) [71][72][73]. As reported by Karadeniz [74],Reid and Naess [75], Moon, et al [76], uncertainty is a significant aspect that influences the accuracy of simulations in order to estimate the numerous simulated data of extreme structural responses.…”

Section: Probabilistic Approaches For Fixed Offshore Structural Response Analysesmentioning

confidence: 99%

Offshore Structural Reliability Assessment by Probabilistic Procedures—A Review

Ahmad

Husain²,

Zaki³

et al. 2021

JMSE

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Offshore installations must be built to resist fatigue as well as extreme forces caused by severe environmental conditions. The structural reliability analysis is the popular practise to assess a variety of natural waves determined by the long-term probability distribution of wave heights and corresponding periods on the site. In truth, however, these structures are subjected to arbitrary wave-induced forces in the open ocean. Hence, it is much more reasonable to account for the changed loading characteristics by determining the probabilistic characteristics of the random loads and outcomes responses. The key challenges are uncertainties and the non-linearity of Morison’s drag element, which results in non-Gaussian loading and response distributions. This study would analyze advances achieved to date in a comprehensive probabilistic review of offshore fixed jacket-type platforms.

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“…Materials 2023, 16, 5854 2 of 14 Engineers focus on the accuracy of degradation models due to the importance of deterioration. Generally speaking, the simulation model must be verified using experimental data [14,15], and a validated deterioration model can be regarded as a credible representation of the actual deterioration phenomenon. Moreover, information gained from validation also aids in simulating the deterioration process and refining the model.…”

Section: Introductionmentioning

confidence: 99%

Optimal Design of Validation Experiment for Material Deterioration

Song,

Sun,

Liang

2023

Materials

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For the deterioration model of a material, it is crucial to design a validation experiment to determine the ability of the deterioration model to simulate the actual deterioration process. In this paper, a design method of a validation experiment for a deterioration model is proposed to obtain the experiment scheme with low cost and satisfactory credibility. First, a normalized area metric based on probability density functions for the deterioration model is developed for validation results quantification. Normalized area metrics of different state variables in an engineering system can be applied to a unified evaluation standard. In particular, kernel density estimation is used to obtain smooth probability density functions from discrete experimental data, which can reduce the systematic error of the validation metric. Furthermore, a design method for the validation experiment for the deterioration model is proposed, in which the number of experimental samples and observation moments in each experimental sample are design variables, while the credibility of the validation experiment is the constraint. For the experiment design, the problem with varying dimensions of design variables occurred in the optimal design. Thus, a collaborative optimization method using the Latin hypercube sampling was developed to solve this problem. Finally, the results of the two examples showed the characteristics of the proposed metric and also reflected the correlation between the design variables and experimental credibility.

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Uncertainty quantification and statistical model validation for an offshore jacket structure panel given limited test data and simulation model

Cited by 10 publications

References 32 publications

An Adaptive Kriging-Based Fourth-Moment Reliability Analysis Method for Engineering Structures

An Adaptive Kriging-Based Fourth-Moment Reliability Analysis Method for Engineering Structures

Offshore Structural Reliability Assessment by Probabilistic Procedures—A Review

Optimal Design of Validation Experiment for Material Deterioration

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