PATENT CLAIM ANALYSIS

Application Number: 15984850
Application Type: Utility
Filing Date: 2018-05
Publication Date: 2018-09
Patent Classification: ["106", "273100"]

Abstract:
Methods are provided for predicting the properties of an asphalt fraction that contains two or more asphalt components based on measurements of the viscosity versus temperature profile for the components of the asphalt fraction. The viscosity versus temperature profile for each component can be used to determine characteristic (such as limiting) values for the viscosity and temperature for a components. Examples of characteristic values for an asphalt component are the asymptotic values of viscosity at infinite temperature (η inf ) and the finite temperature at which the viscosity diverges (T 0 ). Once these characteristic values are determined, the characteristic values for each component can be combined in a weighted average to determine η inf  and T 0  for the asphalt blend. Based on this ability to determine characteristic values for an asphalt blend based on the properties of individual blend components, appropriate blends of asphalts can be selected in order to arrive at an asphalt blend with desired properties.

Claim (Index 18):
The method of  claim 16 , wherein the characteristic temperature is selected from T 0  or T g  and the characteristic viscosity is \u03b7 inf .

Metadata:
- Claim Count in Document: 5.0
- Percentile: 93.0
- Lexical Diversity: 2.31081
- Patent Class: 106.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['14576281', '13723399', '13723463', '13674461', '14364862']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.7118618152153323
- 35 USC 102 Novelty (BERT): 0.5424541147660383
- Combined Prediction Score: 0.6949210451704029
- Mean Citation Score: 248.16490400000004
- Max Citation Score: 408.25177
- Similarity Product: 287.70302530362665

Labels:
- Claim Label 101: 1
- Claim Label 102: 1
- Claim Label 103: 0
- Claim Label 112: 0
- Combined Label: 1
- Label 101 Adjusted: 1

Dataset: test