Closure

Article Abstract:

Connecting the rubber tire wall to the geotextile reinforcement would not improve the wall's stability because the stability of the wall is dependent only on the tensile strength of the geotextile. The role of the rubber tires is to protect the geotextile from vandalism and fire and as support to the backfill between each anchor level. An alternative to placing the drainage system behind the geotextile is to put the drainage layers below the geotextile. The geotextile would then function as a filter for water that might clog the drainage layers.

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Discussion

Article Abstract:

The use of rubber tires in stabilizing soils would gradually solve the problem of disposing used tires. Consumers in the US throw away 237,000,000 tires annually. Fourteen-percent of these used tires are recycled as fuel, 5% are used as rubberized asphalt, and another 10% are used for erosion control structures and highway barriers. The tires are used together with geotextiles that are wrapped at the slope face. However, the standard practice is to use the tires as the face without wrapping the geotextiles against the soil.

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Closure (2)

Article Abstract:

The RMS classification error (CE) was deliberately used to predict the prediction accuracy of the neural network because a higher CE value would mean a greater prediction error. For example, a CE value of 0.905 can predict with less than one classification away from the actual classification. A CE value of 1.225 would predict with more than one classification away from the actual classification. Further analysis reveals that the CE value of 1.802 would be obtained through the Monte Carlo method.

Models, Construction industry, Computer networks, Finance, Neural networks, Business budgets

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