A Weighted-graph Optimization Approach for Automatic by Jurg Andreas Stuckelberger PDF

By Jurg Andreas Stuckelberger

ISBN-10: 3728132179

ISBN-13: 9783728132178

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Extra resources for A Weighted-graph Optimization Approach for Automatic Location of Forest Road Networks

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9. 9 are analogously applicable for negative slope gradients (η < 0). However, in these cases cut-slope and fill-slope angles (φcut and φf ill ) had to be more negative than ground slope angle (η) because of geometrical constraints. When one knows the relation of wcut to wf ill , one can then calculate self-balanced cut-andfill volumes for each location in the project area. However, such a cross-section design is not always the most appropriate. 2. METHODS AND MODEL DEVELOPMENT 25 embankment stability in steep terrain or unstable subsoil conditions by shifting the road structure horizontally in the uphill direction.

In this current study, validation was performed for projects on two different geological formations. The first covered an area in the molasse zone; the second, in limestone. Both were located on the northern slopes of the Swiss Alps. The first part of the validation compared the excavation volumes produced by the model with those values obtained from actual, detailed road projects, as engineered by students in the molasse zone. The second part occurred in the limestone zone, and was mainly focused on investigating rock excavation volumes and costs.

Pour repr´esenter des liaisons de routes possibles, la plupart des mod`eles d´evelopp´es jusqu’`a ce jour utilisent une repr´esentation en trame et ne consid`erent que les 8 cellules voisines. Cette publication pr´esente un mod`ele qui permet d’am´eliorer la conception des routes foresti`eres et rurales et qui repr´esente toutes les conditions sur un graphe math´ematique. Le mod`ele de routes est affin´e en tenant compte de 48 liaisons d’une cellule aux cellules voisines et en introduisant 16 classes de directions.

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A Weighted-graph Optimization Approach for Automatic Location of Forest Road Networks by Jurg Andreas Stuckelberger

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