Cost and duration estimation of autonomous grading algorithm by simulation

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dc.contributor.authorBettemir, Onder Halis
dc.date.accessioned2024-08-04T20:57:33Z
dc.date.available2024-08-04T20:57:33Z
dc.date.issued2024
dc.departmentİnönü Üniversitesien_US
dc.description.abstractEstimation of cost and duration of grading a particular area provides important information for contractors and construction machine manufacturers. In this study, cost and duration of excavation by dozer is estimated by simulating the movements of the dozer. Specifications of the dozer, soil conditions and site conditions are defined to the simulator. The simulation considers tire penetration, rolling, grade, hauling, as well as cutting resistances and estimates the necessary force to be applied. The simulation implements an autonomous grading algorithm established for electric powered dozers which starts grading from a local highest point to prevent uphill excavation and hauling. The algorithm determines the necessary maneuvers to reach local highest point, excavate or haul the earth pile to the dump area. The simulation runs until the objected elevation is obtained at each portion of the excavation site. The simulator calculates the consumed energy, time, and total cost of the excavation. The excavations of 30x45 square meter area by one existing electric dozer and five updated versions of it are simulated. The simulation of the excavation is computed in 23 seconds for the smallest and 10 seconds for the largest dozer. The cost of grading and pushing the excavated material at most 20 meters away is estimated as less than 5 cents/m3 for the lead-acid battery powered dozer and 8 cents/m3 in the average for the lithium-ion battery powered dozers. The simulation revealed that electric powered dozers have less unit excavation cost than diesel powered ones, also larger dozers consumes less energy than the smaller ones. The developed simulation technique is implemented without any numerical errors and the technique can be beneficial for the construction machine manufacturers to optimize their designs and for the contractors to select the most suitable construction machine among the present alternatives.en_US
dc.description.sponsorshipTUBITAK [110M396]en_US
dc.description.sponsorshipThis study is granted by TUBITAK with the grant no 110M396.en_US
dc.identifier.endpage844en_US
dc.identifier.issn1304-7205
dc.identifier.issn1304-7191
dc.identifier.issue3en_US
dc.identifier.startpage831en_US
dc.identifier.urihttps://hdl.handle.net/11616/102716
dc.identifier.volume42en_US
dc.identifier.wosWOS:001253916300006en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.language.isoenen_US
dc.publisherYildiz Technical Univen_US
dc.relation.ispartofSigma Journal of Engineering and Natural Sciences-Sigma Muhendislik Ve Fen Bilimleri Dergisien_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectAutonomous Gradingen_US
dc.subjectCost Estimationen_US
dc.subjectEarthworken_US
dc.subjectSimulationen_US
dc.subjectSoil Cuttingen_US
dc.titleCost and duration estimation of autonomous grading algorithm by simulationen_US
dc.typeArticleen_US

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