<p>A procedure for calibrating a discrete element (DE) computational soil model for various moisture contents using a conventional Asperity-Spring friction modeling technique is presented in this thesis. The procedure is based on the outcomes of two physical soil experiments:</p> <p>(1) Compression and (2) unconfined shear strength at various levels of normal stress and normal pre-stress. The Compression test is used to calibrate the DE soil plastic strain and elastic strain as a function of Compressive stress. To calibrate the DE inter-particle friction coefficient and adhesion stress as a function of soil plastic strain, the unconfined shear test is used. This thesis describes the experimental test devices and test procedures used to perform the physical terramechanical experiments. The calibration procedure for the DE soil model is demonstrated in this thesis using two types of soil: sand-silt (2NS Sand) and silt-clay(Fine Grain Soil) over 5 different moisture contents: 0%, 4%, 8%, 12%, and 16%. The DE based models response are then validated by comparing them to experimental pressure-sinkage results for circular disks and cones for those two types of soil over 5 different moisture contents. The Mean Absolute  Percentage Error (MAPE) during the compression calibration was 26.9% whereas during the unconfined shear calibration, the MAPE was calculated to be 11.38%. Hence, the overall MAPE was calculated to be 19.34% for the entire calibration phase.</p>

<p>The use of renewable energy systems is ever-growing in today's electricity grid to reduce the carbon footprint on the environment. However, a problem with wind and solar renewable energy systems is availability. Wind and solar energy production are entirely dependent on the weather, whereas global electricity demands have no such limitation. A cost-effective solution to the energy availability problem is to incorporate energy storage systems. The Economic Long-Duration Electricity Storage by Using Low-Cost Thermal Energy Storage and High-Efficiency Power Cycle (ENDURING) system developed at the National Renewable Energy Laboratory (NREL) is a potential  energy storage system. In the ENDURING system, particles are heated via renewable energy or off-peak grid electricity and stored in large silos. When the electricity needs to be regenerated, the hot particles are passed to a Pressurized Fluidized Bed Heat Exchanger (PFB-HX), which heats air, and the hot pressurized air flows to a turbine and generator to produce electricity. The focus of this dissertation is on two components within the ENDURING system: the particle heater and the PFB-HX.</p> <p>First, the heat transfer within the particle heater is investigated numerically via Computational Fluid Dynamics (CFD) coupled with Discrete Element Modeling (DEM). Although heat transfer to traditional molecular fluids such as liquids and gases are well characterized, the heat transfer to flowing particles is less understood. The heater surface angle, particle-particle and particle-wall friction coefficients, and contact resistance are parametrically varied to discover their individual effects on the heat transfer process. A separate set of simulations is conducted to compare against an experimental particle heater built at NREL. In addition to elucidating the heat transfer performance, the simulations also reveal oscillatory flow patterns. It is discovered that such turbulent behavior is related to the geometry of the heater elements.<br> </p> <p>Second, a laboratory-scale experimental setup of the PFB-HX is built. The temperature, pressure drop, and minimum fluidization velocity are used to characterize the heat transfer and assess the capabilities of the PFB-HX. High-temperature fluidized bed experiments with an initial temperature gradient are performed. The bed becomes fluidized, but temperature gradients remain, and the bed is not fully mixed. At sufficient superficial velocity, the bed temperature becomes uniform. CFD-DEM coupled simulations are performed to investigate the temperature distributions more precisely. Initial bed temperature differences of 100, 300, and 500K are simulated with varying superficial velocities to create a regime map. The purpose of the regime map is to determine when the fluidized bed temperature becomes fully mixed for different initial conditions and gas velocities. The overall goal of this work is to understand the heat transfer processes of the flowing particles in both the particle heater and the PFB-HX to aid in the design of the ENDURING system.</p>