Computing Pit Excavation Volume

Yanalak, Mustafa

doi:10.1061/(asce)0733-9453(2005)131:1(15)

Cited by 15 publications

(11 citation statements)

References 14 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The data of Example 2 of Chen and Lin (1991), which was the benchmark example used by Easa (1998;Yanalak, 2005;Mukherji, 2012;Khalil, 2014) were used for this application, because the purpose of this paper was to compare volumes resultant from GIS gridding methods with exact volume and with the volume of average end area. The example in Chen and Lin (1991) involved a pit whose ground surface is expressed with the function:…”

Section: Applicationmentioning

confidence: 99%

“…Reliable and accurate earthwork volume calculation was the target of many authors through the past 30 years. Different mathematical models were suggested by Easa (1988;Chambers, 1989;Chen and Lin, 1991;Davis, 1994;Easa, 1998;Yanalak, 2005;Yilmaz, 2010;Mukherji, 2012;Khalil, 2014) to estimate the volume of pit excavation. Earthwork calculation for roadway construction was also investigated by many researchers.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Credibility of 3D Volume Computation Using GIS for Pit Excavation and Roadway Constructions

Khalil¹

2015

American Journal of Engineering and Applied Sciences

View full text Add to dashboard Cite

Volume estimation and earthworks calculation of borrow pits and roadway constructions are typical applications in civil Engineering. Although several methods for volume estimation were introduced, the average end area method still the common method used by owners and contractors. Average end area method is tedious and time consuming. Volume of terrains that do not have regular geometric structure can be obtained more accurately by using 3D models of surfaces with respect to developing technology such as GIS. The gridding method and point distribution are important factors in modeling earth surfaces used for volume estimation. In this study the credibility of 3D volume estimation based on raster GRID or Triangular Irregular Network (TIN) using GIS was investigated. The effects of interpolation method and point distribution in defining a terrain surface were also investigated. For this purpose, an artificial surface with a known volume that used by Chen and Lin in their paper is employed. The 3D surface and volume are calculated for both surfaces represented by TIN and GRIDs generated by using 6 different interpolation methods. The resultant volumes were compared to the exact volume and to that estimated by using average end area method. Moreover a comparison between cut and fill volumes needed for grading the study cases at a certain elevation was done. The results show that for gentle slope surface, TIN and all interpolation techniques gave results very close to the exact except Kriging and Trend interpolation. For steep slope terrain, Kriging interpolation gave the best results. Comparing earthwork volume to the average end area method, TIN surface, IDW, Topo to raster and Nearest Neighbor methods gave the best results.

show abstract

Section: Applicationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Credibility of 3D Volume Computation Using GIS for Pit Excavation and Roadway Constructions

Khalil¹

2015

American Journal of Engineering and Applied Sciences

View full text Add to dashboard Cite

show abstract

“…Earthwork volume is calculated by comparing surface models of a project from measurements taken before and after construction. Various approaches for calculating borrow pit volumes are presented in the literature (Chambers, 1989;Chen & Lin, 1991;Easa, 1998;Yanalak, 2005). This capability is available in many commercial software packages; however, these sometimes just provide total quantities of cut and fill, making verification difficult.…”

Section: Finite Element Based Surface Generation Proceduresmentioning

confidence: 99%

Modeling Earth Surfaces for Highway Earthwork Computation Using Terrestrial Laser Scanning

Slattery

2013

International Journal of Construction Education and Research

View full text Add to dashboard Cite

Research was performed for the Illinois Department of Transportation (IDOT) to evaluate the feasibility of using terrestrial laser scans (TLS) on road construction projects as a cost-effective means of measuring earthwork quantities. A scanning workflow was developed that included detailed planning of pre-construction scan locations to capture point cloud data efficiently. Customized software was developed to allow users to view the large data sets in familiar station=offset coordinates in order to eliminate extraneous points and generate the ground surface. This surface was converted to a Triangulated Irregular Network (TIN) and earthwork quantities were calculated and compared to quantities computed using traditional crosssections and average end area (AEA) method. The results indicated that TLS yields earthwork quantities consistent with AEA, provides additional data that may alleviate the need for return field work, and requires comparable field time for data collection.

show abstract

“…for data collection and quantity calculation in earthwork process. However, these methods are time consuming and labor intensive as they take a lot of time and labor to get the data from the field and one has to go through a tedious method of quantity calculation (Yanalak 2005). As stated before, there is a lot more advancement in technologies for earthwork data collection and quantity calculation compared to the rest of the construction industry.…”

Section: List Of Tablesmentioning

confidence: 99%

Acquisition and Analysis of Earthwork Pay Quantity Verification Data

Shah¹,

Hastak²

2008

View full text Add to dashboard Cite

Computing Pit Excavation Volume

Cited by 15 publications

References 14 publications

Credibility of 3D Volume Computation Using GIS for Pit Excavation and Roadway Constructions

Credibility of 3D Volume Computation Using GIS for Pit Excavation and Roadway Constructions

Modeling Earth Surfaces for Highway Earthwork Computation Using Terrestrial Laser Scanning

Acquisition and Analysis of Earthwork Pay Quantity Verification Data

Contact Info

Product

Resources

About