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Testing Report for 2019-02-08-4-2

Note: Fields with no data or with a value of "Unknown" will not be displayed on the print out.

Project Information

Project ID: 212910 DEA: 080K2914 EFIS: 0812000098 QA Service Level: 1
DIST-CO-RTE-PM: 08-SBD-10-30.9/33.3
Work Description: LANE REPLACEMENT
Location Description: SAN BERNARDINO COUNTY IN REDLANDS FROM ORANGE STREET UNDERCROSSING TO REDLANDS BLVD OFF-RAMP UNDERCROSSING
Contractor Name: Unknown
Contractor Address: Unknown
Resident Engineer: Nick Truong Structure Rep.: Ali El-Zaynab

Sample Information

DIME Sample ID: 2019-02-08-4
TL Number from the TL Form:
Sample Submitted By Organization: CT - Southern Regional Laboratory
Sample Organization Contact: 213-792-4794
Type of Sample: Acceptance
Type of Material: Hot Mix Asphalt
Sample Taken Date: 02/08/2019
Date that the sample was received by the laboratory/organization performing the testing: 02/11/2019
The quantity of what the sample constitutes: 2 boxs
A brief description of the sample: HMA-A 3/4" R15 PG64-28M (0.5% LAS)
From where was the sample collected: Source
Laboratory sample identification:
Structure unique identifier:
Structure name:
The fabricator/manufacturer/facility name: Vulcan Corona

Material Information

HMA Type: Type A HMA
HMA Grading: 3/4 inch
Lot number: 1
Sublot number: 1

Test Information

DIME Test ID: 2019-02-08-4-1
Test Method: AASHTO T308-10: Standard Method of Test for Determining the Asphalt Binder Content of Hot Mix Asphalt (HMA) by the Ignition Method (Asphalt Binder Content)
Verified Date: 02/14/2019
Date Tested: 02/12/2019
Submitted By Organization: CT - Southern Regional Laboratory
Organization Address: 13970 Victoria St,
Organization City: Fontana
Organization State: CA
Organization Zipcode: 92336
Organization Email: jose.guzman@dot.ca.gov
Organization Phone: 213-792-4794
General Comments for this Test:
Test Result Compliance: complies
Additional Comments When Verified :

Submitted Test Results

Asphalt Binder Content 4.34 %
Correction Factor (Percent by mass of HMA Specimen) no data