Video summary
The Ideal Rutting Test with Dr. Fujie Zhou, PhD, P.E., of TTI
Main summary
Key takeaways
Main ideas and lessons conveyed
-
Why a new rutting test is needed
- Existing rutting/cracking-related testing in the U.S. is dominated by:
- Hamburg Wheel Tracking (HWT)
- Asphalt Pavement Analyzer (APA)
- These tests can be too slow and/or not practical for routine QC/QA, especially when:
- HWT may take ~6 hours (or more) and is not suited for daily plant QC.
- APA is practical for production QC/QA but may still be time-consuming.
- Cracking/durability concerns are not as dominant in this context as they once were, so there is a need for a rutting-resistance-focused test that is:
- Fast
- Simple
- Repeatable
- Sensitive to mix design variables
- Correlated to field performance
- Existing rutting/cracking-related testing in the U.S. is dominated by:
-
What “Ideal RT” is intended to do
- Ideal RT is presented as a rutting resistance companion test to Ideal CT (cracking test).
- It aims to directly measure rutting-related mechanical response using a fixture that creates shear-dominant stresses (contrasted with a tension cracking-dominant setup in Ideal CT).
-
Core testing concept
- Ideal CT
- Based on IDT (Indirect Tensile Strength) concepts, meant for tension-related cracking.
- Ideal RT
- Inspired by three-point bending concepts, but adapted into a fixture intended to generate a symmetrical shear stress state in the specimen.
- The fixture geometry and support conditions are designed to shift the dominant stress mechanism toward shear, which is relevant for rutting.
- Ideal CT
Methodology / instructions (test development and use framework)
1) Development goals / selection criteria for Ideal RT (explicit criteria)
Dr. Zhou lists “8 criteria” the Ideal RT test was designed to satisfy:
-
Mechanism relevance
- Must address the rutting shear mechanism (measure shear-related response relevant to rutting).
-
Simplicity
- Must be simple with:
- No advanced instrumentation
- No coring
- No gluing/notching
- Must be simple with:
-
Practicality
- Must require minimal training; should be runnable in a typical plant lab.
-
Efficiency
- Must complete in minutes (target ~1–2 minutes per run).
-
Cost constraint
- Must fit typical lab budgets (stated as under ~$10,000 for specialized equipment).
-
Repeatability
- Coefficient of variation should be:
- < 15% target
- Later shown to be often < 10% and frequently around < 5–6%.
- Coefficient of variation should be:
-
Sensitivity
- Results must be sensitive to:
- Binder content
- Binder type
- Aging condition
- Moisture/aging-related condition (as applicable)
- Aggregate type
- Air voids
- Results must be sensitive to:
-
Correlation to field performance
- Rutting resistance from Ideal RT must correlate with field rutting; repeatability and sensitivity alone are not enough.
2) Suggested test conditions and specimen consistency
- Ideal RT uses the same specimen size as other companion tests:
- 150 mm diameter
- 62 mm height
- Test temperature
- Recommended to use the same temperature as the Hamburg Wheel Tracking test (example given):
- 50°C
- Recommended to use the same temperature as the Hamburg Wheel Tracking test (example given):
- Loading rate
- Example given:
- 15 mm/min
- Example given:
- High-temperature test context
- Rutting evaluation is tied to high-temperature conditions (example: 50°C, referenced repeatedly).
3) How the rutting parameter is extracted from the force–displacement curve
Under rutting loading, the test produces a curve with three conceptual stages:
- Stage 1: non-damaging / early stage
- Stage 2: damaging / deformation stage
- Includes increasing permanent deformation
-
Stage 3: post-peak / cracking-related stage
- Not the primary focus for rutting resistance
-
Key rutting parameter selection
- The presentation emphasizes using the peak/max load (and related quantities) rather than relying only on post-peak cracking behavior.
-
Rutting Tolerance Index (RT index)
- RT index is defined/derived from the measured response (illustrated in terms of shear strength and derived peak-based metrics).
- The test can use measured peak/shear-related quantities to compute the RT index.
4) Sensitivity study plan (what variables are tested)
Ideal RT sensitivity was evaluated against multiple mix variables, including:
-
Binder content sensitivity
- Compare mixes at/around optimum binder content.
- Increasing binder content expected to:
- increase shear strength
- improve rutting resistance
-
Binder type sensitivity
- Compare different binders (including polymer-modified binders).
- Expected:
- polymer modification can increase shear strength / improve rutting behavior
-
Ramping/grade changes
- Example sensitivity to changes in binder formulation/response under loading conditions (as described in the subtitle text).
-
Aggregate type sensitivity
- Compare different aggregates (example described: granite vs blends).
- Expected:
- aggregate type changes shear response and rutting resistance
-
Aging condition sensitivity
- Compare plant-aged or lab-aged mix conditioning times.
- Example conditioning durations mentioned:
- 4, 8, 24 hours (in oven conditioning)
- Expected:
- longer/lower mobility aging increases shear strength (improved rutting resistance)
-
Air void sensitivity
- Compare mixes at different air voids levels.
- Expected trend:
- higher air voids → lower shear strength → worse rutting resistance
- QC implication:
- compaction target is critical; avoid insufficient compaction.
5) Correlation testing plan (how Ideal RT is validated)
Dr. Zhou presents validation in three tiers:
-
Correlation with other rutting tests
- Compare Ideal RT vs:
- APA
- Hamburg Wheel Tracking
- Reported:
- strong correlation with APA (shear strength vs rutting parameter)
- good correlation with Hamburg (rutting index vs RT response)
- Compare Ideal RT vs:
-
Correlation with field performance
- Use multiple field sites (Texas, Minnesota, West track-related) with measured rut depths after trafficking.
- For a given Ideal RT response value, field rut depth is shown to align directionally, but magnitude may vary by region/material and conditioning.
6) How to use the test in Balanced Mix Design + QC/QA (framework)
A proposed workflow is described using four main controls:
-
Rutting control
- Use Ideal RT results (RT index / shear-related measure) to control rutting performance.
-
Cracking control
- Use Ideal CT results (CT index) to control cracking resistance.
-
Air void / density control
- Control air voids (example target mentioned: do not let air voids fall below a low threshold; the talk also mentions a density limit such as 98% maximum density).
-
Moisture damage control
- Use Hamburg Wheel Tracking moisture-related evaluation as an insurance/quality step (since rutting/cracking mechanisms alone may not ensure moisture durability).
Example “production plant” batching/QC sampling workflow (as described)
- For a given design within a “balance zone/window”:
- Produce multiple specimens for:
- CT (cracking)
- RT (rutting)
- Ensure:
- density/air void compliance
- moisture-related requirements are met (via Hamburg or combined state requirements)
- Produce multiple specimens for:
-
Then:
- Use Ideal CT + Ideal RT results to confirm the mix is within both cracking and rutting performance targets without needing to re-run slower full wheel tracking for each iteration.
-
Standardization effort
- The test procedure is being pursued for ASTM standardization (D426 mentioned).
Speakers / sources featured (identified)
- Dr. Fujie (Fuji) Zhou, PhD, P.E. — primary technical speaker; author/developer of the Ideal RT test and related framework
- Amy — webinar host/moderator who introduces the talk and manages Q&A logistics
- Marty — referenced as part of prior discussion (named during the talk, likely involved in earlier IDEAL CT discussion)
- UC Berkeley / Professor Moisness — referenced as associated with development of the Simple Shear Test (SST) (contextual source attribution in history section)
- ASTM Subcommittee D 426 — referenced as the group working to standardize the Ideal RT procedure