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Sitka Airport IC Project Lessons-Learn By Amanda Gilliland Knik Construction Presented By Dr. George Chang Transtec Group.

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Presentation on theme: "Sitka Airport IC Project Lessons-Learn By Amanda Gilliland Knik Construction Presented By Dr. George Chang Transtec Group."— Presentation transcript:

1 Sitka Airport IC Project Lessons-Learn By Amanda Gilliland Knik Construction Presented By Dr. George Chang Transtec Group

2 Sitka-Rocky Gutierrez Airport Runway Overlay Alaska, May 2013

3 IC Specification Provide one IC roller per paver Provide on-site training for contractor and agency Provide manufacturer representative for IC support IC test section Provide Veda files to agency Operations Criteria – 95% meet optimum passes – 70% meet target ICMV values (HMV) 10% deduction from item 401 when IC is not functioning properly

4 Night Paving

5 Hamm HCQ System Accelerometer GPS Receiver HCQ GPS Navigator Temperature Sensors Control Panel

6 Hamm IC Roller Operation Front drum vibratory Rear drum oscillatory Two amplitude settings Two frequency settings

7 IC Training QC Manager – Setup, software/ analysis (data management), trouble shooting Roller Operator – Use on-board display, setup Owner Representatives – Basic training

8 Hamm HCQ Software

9 On HAMM HCQ Software Limitations – Passes are not viewed individually – Limited analysis – Base maps are time consuming to import

10 Veda Software

11 Veda Temperature Map

12 Veda Analysis

13 Veda Point Tests

14 Veda HMV Map

15 Veda Software HMV Comparison Property“End”“Middle” Frequency - vpm , 3000 Amplitude - in Speed - mph Temperature – degrees F HMV Average Mat Density - % 96

16 Veda Software vs. Thermal Camera

17 Veda Recap Base maps View individual passes View roller settings Extensive analysis

18 Strengths and Limitations Strength – Real time data useful – particularly for night paving – Records everything for troubleshooting (if required) – Helps with density consistency – Verifies 100% coverage Limitation – Does not predict density – ICMV and density do not correlate at this project – Room for error in data analysis

19 Thank You !


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