Constant head tests are commonly used for field measurements of fracture transmissivity. As a bulk transmissivity is measured each test section, it frequently unclear how this relates to the hydraulic properties individual fractures. The goal study determine if constant conducted at scales larger than average spacing can be generate discrete network (DFN) models that describe transport. methodo...

We demonstrate the predictive power of a parametrised Doyle-Fuller-Newman (DFN) model commercial cylindrical (21700) lithium-ion cell with NCA/Gr-SiOx chemistry. Model parameters result from deconstruction fresh to determine/confirm chemistry and micro-structure, also electrochemical experiments half-cells built electrode samples. The simulations predict voltage profiles for (i) galvanostatic d...

This presentation provides an overview of a major field focused program of studies aimed at improved investigation methods and understanding organic contaminant source zones and plumes in fractured porous sedimentary rock. This research began in 1997, when intensive field studies were initiated at a TCE contaminated site on steeply dipping and faulted sandstone in California. Now, with collabor...

The stability of a rock slope is strongly influenced by the pattern groundwater flow through fracture system, which may lead to an increase in water pressure partly open joints and consequent decrease wall strength. comprehension challenging but vital aspect engineering geology since fractures’ spatial distribution, connectivity, aperture guide both movement quantity within volume. In literatur...

The widely used Doyle-Fuller-Newman (DFN) model for lithium-ion batteries is too computationally expensive certain applications, which has motivated the appearance of a plethora simpler models. These models are usually posed in an ad hoc manner, leading to inconsistencies with DFN and multiple formulations same model, Single Particle Model (SPM) being very good example latter. In this work, we ...

We consider flows in fractured media, described by Discrete Fracture Network (DFN) models. We perform an Uncertainty Quantification analysis, assuming the fractures’ transmissivity coefficients to be random variables. Two probability distributions (log-uniform and log-normal) are used within different laws that express the coefficients in terms of a family of independent stochastic variables; t...