LTPP InfoPave TM Extracting Information out of LTPP Data
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1 LTPP InfoPave TM Extracting Information out of LTPP Data Jane Jiang PE, LTPP Database Manager, FHWA Riaz Ahmad, President, iengineering Jerome Daleiden PE, Director Pavement Engineering, Fugro Jonathan Groeger, Principal, AMEC Wednesday, March 11, 2015
2 Overview PART 1: Introduction to LTPP PART 2: Data visualization in LTPP InfoPave Summary of major visualization tools in LTPP InfoPave Visualization approaches to data access and data analysis PART 3: Extracting information out of the data Extraction of meaningful information out of the collected pavement performance data for asset management Utilizing LTPP InfoPave to specific problem statements PART 4: Question and answer session 2
3 Introduction to LTPP Jane Jiang PE, LTPP Database Manager, FHWA
4 LTPP s GOAL is to provide answers to HOW and WHY pavements perform as they do! 4
5 LTPP Program Illustration 2509 in-service pavement sections Field data collection Q&A Production Database Materials testing Send Data Data Analysis Data QC/QA Database Security Training Educate 5 5
6 LTPP Data All Encompassing, 500+ tables; 12,000+ data elements Moisture Radiation ENVIRONMENT Temperature (Min., Max, 0 Days, etc.) Freeze-thaw Cycles Layer Thicknesses Layer Types & Properties STRUCTURE Subgrade Type & Properties Variations in Thickness & Properties Measure(s) of Serviceability or Deterioration Timing CONSTRUCTION Methods As-Built Quality Variance Axle Group Loads Tire Types & Pressures TRAFFIC Axle Spacing, Speed, Repetitions Age Treatments Timing MAINTENANCE Methods Quality 6
7 Enhance Access & Understanding Improve Utilization Disseminate Information 7
8 Data Visualization in InfoPave Riaz Ahmad, President, iengineering Please register to access LTPP data.
9 Home: Getting Started 9
10 Search 10
11 Find Sections: Advanced Filters 11
12 Map 12
13 Toggle (Go To ) 13
14 LTPP Data Visualization 14
15 Section Timeline 15
16 Manual Distress Survey Viewer 16
17 Pavement Cross-Section Viewer 17
18 Access LTPP Data 18
19 Section Summary Report 19
20 Visual Data Selection 20
21 Data Selection and Download 21
22 Data Selection and Download 22
23 Interactive Help (Guided Tour) 23
24 Data Bucket 24
25 InfoPave Tools 25
26 InfoPave Library 26
27 InfoPave Help 27
28 LTPP InfoPave Mobile 28
29 Extracting Information out of LTPP Data Jerome Daleiden PE, Director Pavement Engineering, Fugro
30 Extracting Information out of LTPP Data Proposed MAP-21 requirements Establish performance targets Develop a data quality management program Develop pavement performance models Set performance-based pay adjustment factors Evaluate effectiveness of maintenance and rehabilitation Generate the inputs for AASHTOWare Pavement ME Design Software 30
31 Sample Applications Sample Application 1: IRI trends following various rehabilitation treatments on AC Sample Application 2: Cracking trends on JPCP pavements with various structural properties Sample Application 3: Comparison of AC pavement profiles following various maintenance treatments 31
32 Problem Statement #1 Objective: Investigate effects of rehabilitation treatments on flexible pavement performance using International Roughness Index (IRI) data Approach: compare IRI trends on various sections of one SPS-5 site Selection Criteria: SPS-5 experiment AADTT < 1000 trucks/day Wet-no freeze climatic zone 32
33 Downloaded Data 33
34 Rehabilitation Treatments Data Section Surface Preparation Overlay Materials Overlay Thickness 0501 Control Section No Overlay No Overlay 0502 None Recycled None Recycled None Virgin None Virgin Milling Virgin Milling Virgin Milling Recycled Milling Recycled 3 34
35 IRI Trends on SPS-5 in Oklahoma 3 AC Overlay July Control Section: No Overlay Control, No Overlay thin RAP, no milling IRI (m/km) 2 Thin RAP Overlay, No Milling thick RAP, no milling thick AC, no milling 1.5 thin AC, no milling Thick RAP Overlay, After Milling thin AC, with milling thick AC, with milling thick RAP, with milling 0 Oct-95 Jul-98 Apr-01 Jan-04 Oct-06 Jul-09 Apr-12 thin RAP, with milling Survey Date 35
36 Sample Application Findings On Oklahoma SPS-5 site: Milling existing pavement surface resulted in more effective treatments in reducing the IRI Thicker overlays resulted in lower IRI increase rates Thin overlay with recycled asphalt pavement and without milling had the highest rate of increase in IRI There is no difference between the performance of overlays with recycled and virgin asphalt materials 36
37 Problem Statement #2 Objective: Investigate effects of structural factors on performance of jointed concrete pavements Approach: compare cracking, faulting and IRI trends on various sections of one SPS-2 site Selection Criteria: SPS-2 experiment AADTT > 2000 trucks/day Wet-freeze climatic zone 37
38 % Slabs Cracked Transversely (SPS-2 Michigan) in. on DGAB % slabs cracked transversely in slab (very thin!) on LCB 8.5 in slab on DGAB 9 in slab on DGAB 8.5 in slab on PATB 8.9 in. on DGAB 11.2 in. on DGAB 11.4 in. on DGAB 8.5 in. on LCB 7.1 in. on LCB 10.9 in. on LCB 11.1 in. on LCB 8.2 in. on PATB 0 Jan-93 Oct-95 Jul-98 Apr-01 Jan-04 Oct-06 Jul-09 Apr-12 Dec-14 Survey Date 8.4 in. on PATB 11 in. on PATB 11.2 in. on PATB DGAB: Dense graded aggregate base LCB: Lean Concrete Base PATB: Permeable asphalt treated base 38
39 Longitudinal Crack Length (SPS-2 Michigan) Total longitudinal crack length (m) in slab (very thin!) on LCB 8.5 in slab on LCB PCC Slab Replacement June in slab on DGAB 0 Jan-93 Oct-95 Jul-98 Apr-01 Jan-04 Oct-06 Jul-09 Apr-12 Dec-14 Survey Date 8.5 in slab on PATB 8.6 in. on DGAB 8.9 in. on DGAB 11.2 in. on DGAB 11.4 in. on DGAB 8.5 in. on LCB 7.1 in. on LCB 10.9 in. on LCB 11.1 in. on LCB 8.2 in. on PATB 8.4 in. on PATB 11 in. on PATB 11.2 in. on PATB DGAB: Dense graded aggregate base LCB: Lean Concrete Base PATB: Permeable asphalt treated base 39
40 Faulting (SPS-2 Michigan) 0.25 inch Average Joint Faulting at Wheel Path (mm) May-90 Jan-93 Oct-95 Jul-98 Apr-01 Jan-04 Oct-06 Jul-09 Apr-12 Dec-14 Survey Date in. on DGAB 8.9 in. on DGAB 11.2 in. on DGAB 11.4 in. on DGAB 8.5 in. on LCB 7.1 in. on LCB 10.9 in. on LCB 11.1 in. on LCB 8.2 in. on PATB 8.4 in. on PATB 0.25 inch -6.4 DGAB: Dense graded aggregate base LCB: Lean Concrete Base PATB: Permeable asphalt treated base 11 in. on PATB 11.2 in. on PATB 40
41 IRI (SPS-2 Michigan) Average IRI (m/km) in/mi 7in. slab on LCB 11.2 in. slab on DGAB 9 in. slab on DGAB 0 May-90 Oct-95 Apr-01 Oct-06 Apr-12 Sep-17 Survey Date 11 in. slab on LCB 11 in. slab on PATB 8.6 in. on DGAB 8.9 in. on DGAB 11.2 in. on DGAB 11.4 in. on DGAB 8.5 in. on LCB 7.1 in. on LCB 10.9 in. on LCB 11.1 in. on LCB 8.2 in. on PATB 8.4 in. on PATB 11 in. on PATB 11.2 in. on PATB DGAB: Dense graded aggregate base LCB: Lean Concrete Base PATB: Permeable asphalt treated base 41
42 Sample Application Findings On Michigan SPS-2 site: The very thin slab (7 ) has exhibited higher amount of transverse and longitudinal cracking Base type does not seem to have affected amount of cracking The amount of faulting is negligible (less than 1/8 ) on all sections Drainage in asphalt treated bases has reduced the amount of roughness compared to other types of base layers 42
43 Problem Statement #3 Objective: Investigate effectiveness of AC maintenance treatments in the wet-freeze climatic zone Approach: compare performance on various sections of one SPS-3 site Selection Criteria: SPS-3 experiment Wet-freeze climatic zone Fine-Grained Subgrade Soils Deflection under the center of 9,000 lb load < 500 microns 43
44 Section Summary Report 44
45 Compare Treatments 45
46 Example Site SPS-3 Site in Pennsylvania: 42-B300 Wet-Freeze, Fine Grained Subgrade Soils, Low Traffic Good Conditions Before Maintenance 42-B340: Control Section, No Maintenance 42-B330: Crack Seal 42-B350: Chip Seal 42-B310: Thin Overlay 46
47 Longitudinal Profile 47
48 Transverse Profile 48
49 Sample Application Findings On Pennsylvania SPS-3 site: the sections with thin overlay and chip seal had the least amount of IRI increase among the four sections the sections with thin overlay and chip seal had the least amount of rutting increase among the four sections the section with thin overlay performed the best with respect to both longitudinal and transverse profiles The control section that had received no maintenance, had the highest rate of increase in IRI The section with crack seal had the highest rate of increase in rutting 49
50 Discussion 1. Any other suggestions to facilitate data visualization? 2. Any suggestions to help new users get familiar with the website? 3. Any other problems that could be solved using LTPP data? 4. Any suggestions to provide preliminary evaluations to identify availability of data for specific analysis topics? Please submit your feedback at or to 50
51 Questions and Feedback LTPP InfoPave: LTPP Customer Support: Jane Jiang: Riaz Ahmad: 51
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