Validation of the Automatic Dynamic Cone Penetrometer

Abstract

The U.S. military requires a rapid means of measuring subsurface soil strength for construction and repair of expeditionary pavement surfaces. Traditionally, a dynamic cone penetrometer (DCP) has served this purpose, providing strength with depth profiles in natural and prepared pavement surfaces. To improve upon this device, the Engineer Research and Development Center (ERDC) validated a new battery-powered automatic dynamic cone penetrometer (A-DCP) apparatus that automates the driving process by using a motor-driven hammering cap placed on top of a traditional DCP rod. The device improves upon a traditional DCP by applying three to four blows per second while digitally recording depth, blow count, and California Bearing Ratio (CBR). An integrated Global Positioning Sensor (GPS) and Bluetooth connection allow for real-time data capture and stationing. Similarities were illustrated between the DCP and the A-DCP by generation of a new A-DCP calibration curve. This curve relates penetration rate to field CBR that nearly follows the DCP calibration with the exception of a slight offset. Field testing of the A-DCP showed less variability and more consistent strength measurement with depth at a speed five times greater than that of the DCP with minimal physical exertion by the operator.

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Document Details

Document Type
Technical Report
Publication Date
Jul 01, 2022
Accession Number
AD1173625

Entities

People

  • Ernest S. Iv Berney
  • Jami L. Daugherty
  • Lulu Edwards

Organizations

  • Engineer Research and Development Center

Tags

Communities of Interest

  • Counter WMD

DTIC Thesaurus Topics

  • Calibration
  • California
  • Classification
  • Construction
  • Engineering
  • Engineers
  • Materials
  • Measurement
  • Military Research
  • Moisture Content
  • Regression Analysis
  • Soil Classification
  • Soil Tests
  • Standards
  • Test And Evaluation
  • Test Beds
  • Test Methods

Readers

  • Computational Modeling and Simulation
  • Computer Science/Computer Engineering/Data Science/Digital Signal Processing.
  • Geotechnical Engineering.

Technology Areas

  • Space