Asphalt Quality Testing via Light Reflection Color Index
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Solution Overview
Problem
Current methods for assessing the adhesion strength between asphalt binder and aggregate in asphalt mixture design are subjective and lack reproducibility, leading to inconsistent results due to visual quantification of binder loss during tests like the boil test.
Innovation Solution
A method and system utilizing a light source and detector to determine a color index of the asphalt sample, which correlates with binder loss and allows for quantitative and reproducible measurement of adhesion quality, including a calibration process to account for aggregate variability and temperature effects.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If visual quantification method is used to assess binder loss, then the test can be performed quickly and simply, but the measurement precision and reproducibility deteriorate due to subjective evaluation
Solution Approach 1:
The patent replaces the manual visual assessment method with an automated image processing system. A camera captures images of the boiled asphalt sample, and software algorithms automatically analyze the images to quantify binder loss percentage. This substitution eliminates human subjectivity while maintaining rapid testing capability, thereby improving measurement precision without sacrificing productivity.
Solution Approach 2:
The patent creates a digital copy (image) of the physical asphalt sample after boiling. Instead of directly observing and evaluating the physical sample, the system captures an image copy and performs quantitative analysis on the digital representation. This allows for precise, repeatable measurement of binder loss by analyzing pixel values and color variations in the image, eliminating the subjectivity of direct visual assessment.
2Measurement precision
If automated image processing system is implemented, then measurement precision and reproducibility improve, but device complexity increases
Solution Approach 1:
The patent employs a standard digital camera, which is a multi-functional device already widely available in laboratories. Rather than designing a specialized complex imaging system, the invention utilizes the universal camera device for its specific purpose of capturing asphalt sample images. This approach achieves high measurement precision while minimizing the increase in device complexity by leveraging existing versatile equipment.
Solution Approach 2:
The image processing software automatically performs calibration, analysis, and quantification without requiring manual intervention. The system self-calibrates using reference standards and automatically calculates binder loss percentages from captured images. This automation reduces the need for complex manual procedures and specialized equipment, achieving high precision while keeping the operational complexity low.
3Reliability
If calibration process is added to account for aggregate variability and temperature effects, then measurement reliability improves, but testing time and procedure complexity increase
Solution Approach 1:
The patent implements a calibration procedure that is performed once for each aggregate type, creating a reference lookup table that stores the relationship between image characteristics and actual binder loss. This preliminary action accounts for aggregate variability and temperature effects in advance, allowing subsequent tests to use the pre-established calibration data without repeating the calibration process, thereby maintaining high reliability while minimizing additional testing time.
Solution Approach 2:
The system incorporates feedback mechanisms where the image processing algorithm compares measured values against calibrated reference data and automatically adjusts measurements to compensate for temperature variations and aggregate differences. This feedback loop ensures measurement reliability without requiring manual intervention or extended testing time, as the correction is performed automatically by the software.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
The method provides a rapid, repeatable, and quantitative assessment of asphalt quality, enabling prediction of indirect tensile strength and optimizing anti-strip additive dosage, thereby improving the reliability of asphalt mixture design and reducing production time.
Implementation Method 1
detecting light reflected or refracted from the at least one surface of the asphalt
Implementation Method 2
detecting light reflected or refracted from the at least one surface of the asphalt
Data Source
AI summary
A method for quality testing asphalt includes: directing light from a light source to at least one surface of asphalt; detecting light reflected or refracted from the at least one surface of the asphalt using a light detector; and assigning a number indicating the quality of the asphalt in response to detecting light reflected or refracted from the at least one surface of the asphalt.