Copula-based reliability and sensitivity analysis of aging dams: Adaptive Kriging and polynomial chaos Kriging methods

Amini, Ali; Abdollahi, Azam; Hariri-Ardebili, Mohammad Amin; Lall, Upmanu

doi:10.1016/j.asoc.2021.107524

Cited by 62 publications

(11 citation statements)

References 30 publications

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“…Blasting experiment test results often have certain randomness, which is due to uncertainty and variability factors affecting the experimental results [43][44][45]. ere will inevitably be differences between actual size and design size in the manufacturing process of specimens, and the length of water jet slot and radius of blast hole are two very important parameters, which determine the size of the stress intensity factor at the tip of water jet slot, and then affect the initiation and propagation of blast-induced crack, and ultimately affect the blasting experimental results.…”

Section: Uncertainty Quantification Of Experiments Resultmentioning

confidence: 99%

Study on the Combined Effect of Inclined Natural Fracture and Water Jet Slot on the Blast-Induced Crack Propagation Law

Jia

Zhu

et al. 2022

Shock and Vibration

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For the purpose of uncovering the influence law on the explosion stress wave transmission and blast-induced crack propagation by inclined natural fracture and water jet slot, the influential mechanism for the transmission law of explosion stress wave due to inclined natural fracture was analyzed based on stress wave theory in this article. Next, the evolution law of explosion stress wave and blast-induced crack propagation affected by inclined natural fracture and water jet slot were simulated by ANSYS/LS-DYNA, and an experiment was conducted to understand the crack propagation law under explosion shock wave loading. The results indicate that the existence of inclined natural fracture will affect the “guiding effect” of water jet slot on blast-induced crack propagation by changing the propagation path and mechanical properties of the explosion stress wave. When the distance between inclined natural fracture and blast hole is too small, the water jet slot cannot play a guiding role in propagation process of blast-induced main crack. With the increase of the distance, the propagation direction of blast-induced crack is affected by both inclined natural fracture and water jet slot. When the distance increases further and exceeds a certain value, inclined natural fracture cannot affect the guiding effect of water jet slot in propagation process of blast-induced main crack.

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Section: Uncertainty Quantification Of Experiments Resultmentioning

confidence: 99%

Study on the Combined Effect of Inclined Natural Fracture and Water Jet Slot on the Blast-Induced Crack Propagation Law

Jia

Zhu

et al. 2022

Shock and Vibration

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“…Figure 9 shows the different porosities as a function of the effective pressure. The sensitivity analysis method like Sobol's indices can be used to analyze the interactions between the parameters, which can be applied with the given forward modeling equation or method/procedure [48]. In this work, sensitivity analysis to the total and mi- The sensitivity analysis method like Sobol's indices can be used to analyze the interactions between the parameters, which can be applied with the given forward modeling equation or method/procedure [48].…”

Section: Ultrasonic Experiments and Sensitivity Analysismentioning

confidence: 99%

“…The sensitivity analysis method like Sobol's indices can be used to analyze the interactions between the parameters, which can be applied with the given forward modeling equation or method/procedure [48]. In this work, sensitivity analysis to the total and mi- The sensitivity analysis method like Sobol's indices can be used to analyze the interactions between the parameters, which can be applied with the given forward modeling equation or method/procedure [48]. In this work, sensitivity analysis to the total and microcrack porosities as inputs is performed based on the actually measured data from the experiments and well logs as puts, without considering the detailed modeling equations (or procedures).…”

Section: Ultrasonic Experiments and Sensitivity Analysismentioning

confidence: 99%

Microcrack Porosity Estimation Based on Rock Physics Templates: A Case Study in Sichuan Basin, China

Ruan

Carcione

et al. 2021

Energies

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Low porosity-permeability structures and microcracks, where gas is produced, are the main characteristics of tight sandstone gas reservoirs in the Sichuan Basin, China. In this work, an analysis of amplitude variation with offset (AVO) is performed. Based on the experimental and log data, sensitivity analysis is performed to sort out the rock physics attributes sensitive to microcrack and total porosities. The Biot–Rayleigh poroelasticity theory describes the complexity of the rock and yields the seismic properties, such as Poisson’s ratio and P-wave impedance, which are used to build rock-physics templates calibrated with ultrasonic data at varying effective pressures. The templates are then applied to seismic data of the Xujiahe formation to estimate the total and microcrack porosities, indicating that the results are consistent with actual gas production reports.

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“…For example, Hariri-Ardebili et al [13] proposed an e cient sensitivity analysis framework based on polynomial chaos expansion metamodel to nd the most critical elements of infrastructures and capture the spatial uncertainty using random eld theory; the results show the impact of uncertainty quanti cation in system identi cation of infrastructures. Amini et al [14] introduced an efficient reliability and sensitivity methodology considering nonlinear dependency among random variables via copula theory and compared the effects of vine copula (i.e., the nonlinear correlation between random variables) and Gaussian copula (linear correlation) on the sensitivity analysis results. Zhou et al [15] developed a GSA approach based on the theory of active subspaces and Kriging surrogate metamodeling to find the most significant inputs of a radome structure in fiber-reinforced composites.…”

Section: Introductionmentioning

confidence: 99%

Importance Analysis of Structural Seismic Demand Based on Support Vector Machine

Wang¹,

Xu²,

Jiang³

et al. 2022

Mathematical Problems in Engineering

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Seismic demand analysis of structures plays an important role in the structural seismic calculation; however, studies on the importance analysis of seismic demand are limited. A new method based on a support vector machine (SVM) is proposed to analyze the importance of structural seismic demand and study the influence of random variables on structural seismic demand in this study, where the linear kernel function, Gauss kernel function, and polynomial kernel function are used in SVM. The time history analysis of the steel-reinforced concrete (SRC) frame structures has been carried out by the finite element software OpenSees under the action of different seismic records. Four kinds of seismic demand of the SRC frame structure are analyzed in this study, which are top displacement, maximum floor acceleration, base shear, and maximum interstory drift angle, respectively. Importance indexes of the four kinds of structural seismic demand are in good agreement with those of the Monte Carlo (MC) numerical simulation method and Tornado graphic method, which verify the accuracy of the proposed method. Moreover, the sample size of the proposed method is greatly smaller than that of the MC method. Therefore, the computation efficiency has been improved significantly by the proposed method.

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Copula-based reliability and sensitivity analysis of aging dams: Adaptive Kriging and polynomial chaos Kriging methods

Cited by 62 publications

References 30 publications

Study on the Combined Effect of Inclined Natural Fracture and Water Jet Slot on the Blast-Induced Crack Propagation Law

Study on the Combined Effect of Inclined Natural Fracture and Water Jet Slot on the Blast-Induced Crack Propagation Law

Microcrack Porosity Estimation Based on Rock Physics Templates: A Case Study in Sichuan Basin, China

Importance Analysis of Structural Seismic Demand Based on Support Vector Machine

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