Image based simulation of one-dimensional compression tests on carbonate sand

High factors of safety and conservative methods are commonly used on foundation design on shelly carbonate soils. A better understanding of the behavior of this material is, thus, critical for more sustainable approaches for the design of a number of offshore structures and submarine pipelines. In particular, understanding the physical phenomena taking place at the microscale has the potential to spur the development of robust computational methods. In this study, a one-dimensional compression test was performed inside an X-ray scanner to obtain 3D images of the evolving internal structure of a shelly carbonate sand. A preliminary inspection of the images through five loading increments has shown that the grains rearrange under loading and in some cases cracks develop at the contacts. In order to replicate of the experiments in the numerical domain, the 3D image of the soil prior to loading was imported into a micro Finite Element (µFE) framework. This image-based modelling tool enables measurements of the contact force and stress map inside the grains while making use of the real microstructure of the soil. The potential of the µFE model to contribute insights into yield initiation within the grain is demonstrated here. This is of particular interest to better understand the breakage of shelly grains underpinning their highly compressive behavior

Barbara S. Belmont

Barbara S. Belmont has spent most of her career in association management. She was with the National Association of Home Builders (NAHB) before becoming the executive director of the American School Food Service Association/ School Nutrition Association for eighteen years.https://egrove.olemiss.edu/icn_ohistories/1029/thumbnail.jp

Martha S. Walker

Martha S. Walker is New Orleans native and a graduate of Southern University. She has managed school feeding programs in East Baton Rough Parish for twenty-five years.https://egrove.olemiss.edu/icn_ohistories/1028/thumbnail.jp

Employers\u27 Views on the Value of Older Workers : Final Report

Employers\u27 Views on the Value of Older Workers : Final Report Submitted to: The AARP Andrus Foundation Prepared by: Human Services Development Institute, Edmund S. Muskie Institute of Public Affairs, University of Southern Maine, 96 Falmouth St., Portland, Maine 04103 (August 1991). Contents: Acknowledgements / Executive Summary / Abstract / I. Introduction and Background / II. Project Methodology / III. Findings / IV. Conclusions and Recommendations / Referenceshttps://digitalcommons.usm.maine.edu/me_collection/1102/thumbnail.jp

Gail S. Kavanaugh

Gail S. Kavanaugh has served as a child nutrition director in Mississippi for over twenty-five years. She has also been very active in the state and national school nutrition associations, including testifying before Congress in the early 2000s.https://egrove.olemiss.edu/icn_ohistories/1181/thumbnail.jp

A Bayesian spatio-temporal model of panel design data: airborne particle number concentration in Brisbane, Australia

This paper outlines a methodology for semi-parametric spatio-temporal modelling of data which is dense in time but sparse in space, obtained from a split panel design, the most feasible approach to covering space and time with limited equipment. The data are hourly averaged particle number concentration (PNC) and were collected, as part of the Ultrafine Particles from Transport Emissions and Child Health (UPTECH) project. Two weeks of continuous measurements were taken at each of a number of government primary schools in the Brisbane Metropolitan Area. The monitoring equipment was taken to each school sequentially. The school data are augmented by data from long term monitoring stations at three locations in Brisbane, Australia. Fitting the model helps describe the spatial and temporal variability at a subset of the UPTECH schools and the long-term monitoring sites. The temporal variation is modelled hierarchically with penalised random walk terms, one common to all sites and a term accounting for the remaining temporal trend at each site. Parameter estimates and their uncertainty are computed in a computationally efficient approximate Bayesian inference environment, R-INLA. The temporal part of the model explains daily and weekly cycles in PNC at the schools, which can be used to estimate the exposure of school children to ultrafine particles (UFPs) emitted by vehicles. At each school and long-term monitoring site, peaks in PNC can be attributed to the morning and afternoon rush hour traffic and new particle formation events. The spatial component of the model describes the school to school variation in mean PNC at each school and within each school ground. It is shown how the spatial model can be expanded to identify spatial patterns at the city scale with the inclusion of more spatial locations.Comment: Draft of this paper presented at ISBA 2012 as poster, part of UPTECH projec

Accountants\u27 index. Supplement, a bibliography of accounting literature , January,1921-June, 1923

https://egrove.olemiss.edu/aicpa_accind/1001/thumbnail.jp

An integrated approach to supply chain risk analysis

Despite the increasing attention that supply chain risk management is receiving by both researchers and practitioners, companies still lack a risk culture. Moreover, risk management approaches are either too general or require pieces of information not regularly recorded by organisations. This work develops a risk identification and analysis methodology that integrates widely adopted supply chain and risk management tools. In particular, process analysis is performed by means of the standard framework provided by the Supply Chain Operations Reference Model, the risk identification and analysis tasks are accomplished by applying the Risk Breakdown Structure and the Risk Breakdown Matrix, and the effects of risk occurrence on activities are assessed by indicators that are already measured by companies in order to monitor their performances. In such a way, the framework contributes to increase companies' awareness and communication about risk, which are essential components of the management of modern supply chains. A base case has been developed by applying the proposed approach to a hypothetical manufacturing supply chain. An in-depth validation will be carried out to improve the methodology and further demonstrate its benefits and limitations. Future research will extend the framework to include the understanding of the multiple effects of risky events on different processe