Probabilistic Analysis of a Rock Salt Cavern with Application to Energy Storage Systems

Mahmoudi, Elham; Khaledi, Kavan; Miro, Shorash; König, Diethard; Schanz, Tom

doi:10.1007/s00603-016-1105-y

Cited by 33 publications

(9 citation statements)

References 133 publications

(176 reference statements)

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“…An accurate numerical simulation of a mechanised tunnelling process in urban areas must consider SASBE 10,3 the complex interactions between subsoil and the tunnel boring machine (Zhang et al, 2021). Due to the subsoil's natural origin, their characteristics deal with randomness (Mahmoudi et al, 2017). Depending on the geological formation's complexity, the model's uncertainty is not always spatially uniform.…”

Section: Introductionmentioning

confidence: 99%

Optimisation of geotechnical surveys using a BIM-based geostatistical analysis

Mahmoudi

Stepien

König

2021

SASBE

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PurposeA principle prerequisite for designing and constructing an underground structure is to estimate the subsurface's properties and obtain a realistic picture of stratigraphy. Obtaining direct measure of these values in any location of the built environment is not affordable. Therefore, any evaluation is afflicted with uncertainty, and we need to combine all available measurements, observations and previous knowledge to achieve an informed estimate and quantify the involved uncertainties. This study aims to enhance the geotechnical surveys based on a spatial estimation of subsoil to customised data structures and integrating the ground models into digital design environments.Design/methodology/approachThe present study's objective is to enhance the geotechnical surveys based on a spatial estimation of subsoil to customised data structures and integrating the ground models into digital design environments. A ground model consisting of voxels is developed via Revit-Dynamo to represent spatial uncertainties employing the kriging interpolation method. The local arrangement of new surveys are evaluated to be optimised.FindingsThe visualisation model's computational performance is modified by using an octree structure. The results show that it adapts the structure to be modelled more efficiently. The proposed concept can identify the geological models' risky locations for further geological investigations and reveal an optimised experimental design. The modifications criteria are defined in global and local considerations.Originality/valueIt provides a transparent and repeatable approach to construct a spatial ground model for subsequent experimental or numerical analysis. In the first attempt, the ground model was discretised by a grid of voxels. In general, the required computing time primarily depends on the size of the voxels. This issue is addressed by implementing octree voxels to reduce the computational efforts. This applies especially to the cases that a higher resolution is required. The investigations using a synthetic soil model showed that the developed methodology fulfilled the kriging method's requirements. The effects of variogram parameters, such as the range and the covariance function, were investigated based on some parameter studies. Moreover, a synthetic model is used to demonstrate the optimal experimental design concept. Through the implementation, alternative locations for new boreholes are generated, and their uncertainties are quantified. The impact of the new borehole on the uncertainty measures are quantified based on local and global approaches. For further research to identify the geological models' risky spots, the development of this approach with additional criteria regarding the search neighbourhood and consideration of barriers and trends in real cases (by employing different interpolation methodologies) should be considered.

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Section: Introductionmentioning

confidence: 99%

Optimisation of geotechnical surveys using a BIM-based geostatistical analysis

Mahmoudi

Stepien

König

2021

SASBE

Self Cite

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“…Khaledi et al [25] applies numerical modelling for salt caverns and used global sensitivity analysis to investigate the influence of material parameters on the mechanical behaviour of the salt cavern. Mahmoudi et al [26] provides a reliability-based analysis of a typical renewable energy storage cavern in rock salt, and sensitivity analysis for different variables involved in the mechanical response of cavern is conducted by global sensitivity method. Miro et al [27] conducted Variance-based global sensitivity analysis for quantifying the impact of each uncertain parameter on different system responses.…”

Section: Sensitivity Analysismentioning

confidence: 99%

Modelling of a Large Landslide Problem under Water Level Fluctuation—Model Calibration and Verification

Zhao

Hölter

et al. 2019

Geosciences

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In past centuries, reservoir landslides have been always a threat that brought a big loss in lives and properties. The phenomena that have decisive influence on the landslide instability are quite complex and the importance of each of them for the stability of a particular landslide differs. Therefore, it is extremely important to distinguish between the effects that different phenomena have and to identify those that dominate the behaviour of the studied landslide. The aim of the present study is to investigate the behaviour under the river level fluctuation of a large landslide in China, namely the Huangtupo landslide. A 2D numerical model of a selected part of the Huangtupo landslide is created and a series of fully coupled hydro-mechanical simulations have been conducted to investigate the landslide behaviour under different influencing factors (e.g., mechanical incidents, water head, soil water permeability, etc.). Furthermore, both local and global sensitivity analyses are performed to assess the importance of these influencing factors and to select the most influential model parameters. Thereafter, back analysis is employed to calibrate the model against real field data. Finally, the capability of the calibrated model is evaluated and the results show that it can simulate appropriately the long-term behaviour of the landslide after the river level reaches its maximal level.

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“…This system is much less widespread. The first plant was built in 1978 in Huntorf, Germany, in an abandoned salt mine (Raju & Kumar Khaitan, 2012;Mahmoudi et al, 2016). A second unit is in operation in Alabama since 1991.…”

Section: List Of Symbols αmentioning

confidence: 99%

Validation of a New Elastoplastic Constitutive Model Dedicated to the Cyclic Behaviour of Brittle Rock Materials

et al. 2017

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Old mines or caverns may be used as reservoirs for fuel/gas storage or in the context of large scale energy storage. In the first case, oil or gas is stored on annual basis. In the second case pressure due to water or compressed air varies on a daily basis or even faster. In both cases a cyclic loading on the cavern's/mine's walls must be considered for the design. The complexity of rockwork geometries or coupling with water flow requires finite element modelling and then a suitable constitutive law for the rock behaviour modelling. This paper presents and validates the formulation of a new constitutive law able to represent the inherently cyclic behaviour of rocks at low confinement. The main features of the behaviour evidenced by experiments in the literature depict a progressive degradation and strain of the material with the number of cycles. A constitutive law based on a boundary surface concept is developed. It represents the brittle failure of the material as well as its progressive degradation. Kinematic hardening of the yield surface allows the modelling of cycles. Isotropic softening on the cohesion variable leads to the progressive degradation of the rock strength. A limit surface is introduced and has a lower opening than the bounding surface. This surface describes the peak strength of the material and allows the modelling of a brittle behaviour. In addition a fatigue limit is introduced such that no cohesion degradation occurs if the stress state lies inside this surface. The model is validated against three different rock materials and types of experi-

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Probabilistic Analysis of a Rock Salt Cavern with Application to Energy Storage Systems

Cited by 33 publications

References 133 publications

Optimisation of geotechnical surveys using a BIM-based geostatistical analysis

Optimisation of geotechnical surveys using a BIM-based geostatistical analysis

Modelling of a Large Landslide Problem under Water Level Fluctuation—Model Calibration and Verification

Validation of a New Elastoplastic Constitutive Model Dedicated to the Cyclic Behaviour of Brittle Rock Materials

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