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contributor authorChang Liu
contributor authorMing Lu
date accessioned2017-05-08T22:21:07Z
date available2017-05-08T22:21:07Z
date copyrightMarch 2015
date issued2015
identifier other42874683.pdf
identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/78417
description abstractAs a critical component of planning mass earthworks projects, designing effective haul road networks is conducive to delivering the project on time and under budget. The research reported in this paper proposes a grid-based temporary road network design method applicable to a site for which grading design has been completed. Further adding to the existing body of knowledge, a quantitative methodology is proposed for optimizing the detailed planning of earthmoving jobs based on a particular temporary haul road network design. Each job is defined in terms of the source cell, the destination cell, the earth volume, and the shortest-hauling-time path between source and destination. Through seamless integration of the Floyd-Warshall algorithm and linear programming model, the shortest average haul time for a truckload can be obtained while automatically fulfilling site grading design specifications. Based on the resulting average haul time, cost equations are defined to account for (1) the direct truck-hauling crew cost; and (2) building, maintenance, and removal costs of temporary haul roads. As such, the cost associated with executing the optimized earthmoving job plan over a particular haul road network design can be readily assessed, making it straightforward for project managers to compare alternatives. The proposed methodology is demonstrated in steps using a numerical example and further applied in a case study based on a real-world project in northern Alberta.
publisherAmerican Society of Civil Engineers
titleOptimizing Earthmoving Job Planning Based on Evaluation of Temporary Haul Road Networks Design for Mass Earthworks Projects
typeJournal Paper
journal volume141
journal issue3
journal titleJournal of Construction Engineering and Management
identifier doi10.1061/(ASCE)CO.1943-7862.0000940
treeJournal of Construction Engineering and Management:;2015:;Volume ( 141 ):;issue: 003
contenttypeFulltext


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