Geotechnical Site Characterization in the Year 2012 and Beyond

Mayne, Paul W.

doi:10.1061/9780784412138.0007

Cited by 2 publications

(2 citation statements)

References 48 publications

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“…where N 60 is the SPT value. According to Mayne et al (2002) manual, the value of N 60 can be estimated by equation 4 as:…”

Section: Earth Dam Propertiesmentioning

confidence: 99%

Displacement and damage analysis of earth dams during the 2023 Turkiye earthquake sequence

Lashgari,

Moss

2024

Earthquake Spectra

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The earthquake sequence that occurred on 6 February 2023 in Turkiye caused significant damage to various infrastructures including geostructures such as dams. A total of 17 earth dams within a 200-km radius of the earthquake epicenter experienced varying degrees of damage, ranging from minor (∼2 cm) to major (up to ∼150 cm) deformations. As study of these reveals that the damaged dams are located within the closest distance to the fault of less than 30 km, with an average value of ∼12 km. This study specifically focuses on the seismic displacement analysis of the 17 damaged dams, utilizing the sliding block methods. The recorded motion data was analyzed using the kriging technique to estimate the spectral response at the dam sites. Moreover, the recorded ground motions were scaled to the resonant period of the dam site to estimate acceleration time history. The findings reveal that the rigid block analysis can provide an average estimation of seismic displacement with a relative error of less than 44%. The results of the damage analysis indicate that seven dams reached the ultimate limit state and two dams experienced the serviceability limit state. Moreover, the univariate and multivariate fragility functions are developed to estimate seismic probabilistic analysis of earth dams based on the observed data and the limit states. The results show that the selection of a single intensity measure (IM) and a combination of IMs can affect the predicted probability of failure. The findings provide an insight into the resilience assessment of dams and other geosystems during this strong earthquake.

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“…where N 60 is the SPT value. According to Mayne et al (2002) manual, the value of N 60 can be estimated by equation 4 as:…”

Section: Earth Dam Propertiesmentioning

confidence: 99%

Displacement and damage analysis of earth dams during the 2023 Turkiye earthquake sequence

Lashgari,

Moss

2024

Earthquake Spectra

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“…It is well known that the value ranges of the relevant parameters of different copula functions are often different, and the calculation also involves the iteration of the dual integration, which has a high computational cost. Generally speaking, the characterization of geotechnical parameters in coal mine engineering relies on a priori information such as engineering experience and preliminary exploration tests [18,19]. Due to the complexity of the underground space and the spatial variability of the soil, researchers are confronted with the challenge of probabilistically de-integrating the prior information from small-sample data, often failing to generate meaningful statistics to probabilistically characterize the roof structure [20].…”

Section: Introductionmentioning

confidence: 99%

Identification Method of Optimal Copula Correlation Characteristic for Geological Parameters of Roof Structure

Cao,

Wang,

Zhu

et al. 2023

Sustainability

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Limited by the actual investigation of coal mine engineering, the measured data obtained are often based on small sample characteristics. How to probabilistically de-integrate the prior information to obtain meaningful statistical values has received increasing attention from geotechnical engineers. In this study, an optimal copula function identification method for multidimensional geotechnical structures of coal mine roofs under the Bayesian approach is proposed. Firstly, the characterization method of multidimensional roof parameter correlation structures is proposed based on copula theory, and 167 sets of measured data from 24 coal mines at home and abroad are collected to study the measured identification results using the Bayesian method. Secondly, Monte Carlo simulation is utilized to compare the correct recognition rates of the commonly used AIC criterion and the Bayesian approach under different correlation structures. Finally, the influencing factors affecting the successful recognition rate of the Bayesian approach are analyzed. The results show that compared with the traditional AIC criterion, the Bayesian approach has more marked advantages in correctly recognizing the multidimensional parameter structures of roofs, and the number of measured samples, the strength of correlation coefficients, and the prior information have a major effect on the correct recognition rate of the optimal copula function under different real copula functions. In addition, the commonly used Gaussian copula has a better characterization effect in characterizing the multidimensional parameter correlation structure of the coal mine roofs, which can be prioritized to be used as a larger prior probability function in the evaluation process.

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Geotechnical Site Characterization in the Year 2012 and Beyond

Cited by 2 publications

References 48 publications

Displacement and damage analysis of earth dams during the 2023 Turkiye earthquake sequence

Displacement and damage analysis of earth dams during the 2023 Turkiye earthquake sequence

Identification Method of Optimal Copula Correlation Characteristic for Geological Parameters of Roof Structure

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