XX. Spango Granite

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A load estimation algorithm based on k-means cluster analysis was developed. The algorithm applies cluster centres – of previously clustered load profiles – and distance functions to estimate missing and future measurements. Canberra, Manhattan, Euclidean, and Pearson correlation distances were investigated. Several case studies were implemented using daily and segmented load profiles of aggreg...

Rr Xx-xx

The growing availability of low-power sensors, microprocessors, and transmitters makes it increasingly attractive to use distributed sensor networks for track-health monitoring. Widespread implementation of these networks will require robust and low-maintenance methods for powering the electronics. This research investigates two principal methods of harvesting mechanical power from passing rail...

Emanation from Granite Countertops

Emanation of radon ( 222 Rn) from granite countertops was measured using continuous and integrating radon monitors, and in air collected from encapsulated pieces of the countertops. A majority of the countertops emitted a measurable amount of radon. Although the granites contained the precursors, no thoron ( 220 Rn) emanation was detected. Gamma-ray spectroscopy was used to determine amounts of...

Submitted xxxx; Revised xxxx; Published xx/xx

Weathering of Stone Mountain Granite

The weathering of Stone Mountain Granite (adamellitc) forms kaolinite, endcllite, allophane and gibbsite of which kaolinite is the most stable. Bulk density ranges from 2.65 in fresh rock to a minimum of 1.48 in saprolite. It is a good index of weathering. Abrasion pH ranges from 5.0 in saprolite to 9.3 in fresh rock, and is direct]y related to bulk density and the amount of clay mineral. Among...