DETECTING LOCALIZED ROUGHNESS USING DYNAMIC SEGMENTATION By Amin - - PowerPoint PPT Presentation

detecting localized roughness using dynamic segmentation
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DETECTING LOCALIZED ROUGHNESS USING DYNAMIC SEGMENTATION By Amin - - PowerPoint PPT Presentation

DETECTING LOCALIZED ROUGHNESS USING DYNAMIC SEGMENTATION By Amin El Gendy & Ahmed Shalaby Department of Civil Engineering University of Manitoba The C-LTPP project The C-LTPP Project includes 24 test sites constructed between 1989 and


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DETECTING LOCALIZED ROUGHNESS USING DYNAMIC SEGMENTATION

By Amin El Gendy & Ahmed Shalaby Department of Civil Engineering University of Manitoba

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SLIDE 2

The C-LTPP project

  • The C-LTPP Project includes 24 test sites constructed between 1989 and 1991.
  • Each site has 2 to 4 adjacent test sections for a total of 65 test sections.

Location and identification of C-SHRP LTPP test sites.

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SLIDE 3

C-LTPP profile data

  • Profile measurements taken manually with a dipstick on annual basis.
  • Dipstick foot spacing is 300 mm for most of the sections.
  • The survey closure error was redistributed over all the measurements

recorded.

5*30 m OWP IWP OWP-IWP IWP-OWP Start Point

Schematic for the dipstick profiling process

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SLIDE 4

Objectives

To develop guidelines for analyzing the measurement of

longitudinal pavement profile using two dynamic segmentation methods;

To demonstrate the benefits of refining the monitoring of

pavement conditions; and

To Propose a model for estimating the required interval

for reporting roughness profiles.

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SLIDE 5

1 2 3 4 5 20 40 60 80 100 120 140 Station [m] IRI [m/km]

  • Min. IRI=1.36
  • Max. IRI=3.82

Average IRI=2.45 Roughness Profile IRI Range

Roughness Profile

The roughness profile for the OWP of the test site 810404 (prior to overlay 09/06/1990)

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SLIDE 6

Significance of Roughness Profile Segmentation

0.05 0.1 0.15 0.2 0.5 1 1.5 2 2.5 3 3.5 4 4.5 5 IRI range [m/km] Percentage of Frequency The frequency distribution of IRI range (1332 section profiles)

12 out of 1332 profiles have an IRI range smaller than 1.0mm/m.

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SLIDE 7

The cumulative difference approach (CDA)

(a) Pavement Response, ri X1 X3 X2 (b) Cumulative Area, Ax X1 X3 X2 (c) Cumulative Difference, Zx X1 X3 X2 X

_ x x x

A A Z − =

_ x

A

x

A

(-) (+) (-)

  • +

Border Border r1 r2 r3 X X X

(a) Response (b) Cumulative Area (c) Cumulative Differences

The cumulative difference approach

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SLIDE 8

The absolute difference approach (ADA)

Segment length Average response X Response range xi xd ri rd

d i i

r r Z − =

The absolute difference approach

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Illustrative Example

(a) ADA Segmentation (b) CDA Segmentation (c) Cumulative Area (d) Cumulative Differences

Segmentation Example

Pavement Response, ri Segment Length Cumulative Area, Ax Segment Length Cumulative Difference, Zx Segment Length (-) (+) (-)

  • +

Border Border CDA Segments Pavement response Pavement Response, ri Segment Length

ADA Segments Pavement response Response range

r1 r2 r3 r1 r2 r3

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SLIDE 10

is the response ri at xi for segment 1. is the response rj at xj for segment 2. xi is any distance within segment 1. xj is any distance within segment 2. rrange is the specified target response range

Combining Segments

j i Range j i

x x all for r r r ,

2 1

≤ −

1 i

r

2 j

r

Each two adjacent segments will be combined into one segment if the difference between the maximum and minimum does not exceed the target range according to the following:

Where;

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Statistical Comparison

TABLE 1 General Statistical Summary for Segment Lengths (m), CDA Approach

9315 9684 10505 12180 15819 24466 Count 835.52 760.57 648.83 478.43 271.26 92.22 Sample Variance 28.90 27.58 25.47 21.87 16.47 9.60 Standard Deviation 0.30 0.28 0.25 0.20 0.13 0.06 Standard Error 18.90 18.17 16.73 14.39 11.01 7.01 Mean of segment lengths 0.7 0.6 0.5 0.4 0.3 0.2 IRI Range (m/km) Statistic

TABLE 2 General Statistical Summary for Segment Lengths (m), ADA Approach

12404 12568 13414 15705 21001 34328 Count 712.56 668.95 572.67 397.18 205.95 64.09 Sample Variance 26.69 25.86 23.93 19.93 14.35 8.01 Standard Deviation 0.24 0.23 0.21 0.16 0.10 0.04 Standard Error 14.12 13.93 13.04 11.09 8.22 4.91 Mean of segment lengths 0.7 0.6 0.5 0.4 0.3 0.2 IRI Range (m/km) Statistic

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Segmented Profiles

0.6 0.8 1 1.2 1.4 27 32 37 42 47 Station [m] IRI [m/km] Roughness Profile CDA Segmentation ADA Segmentation

The roughness profile corresponded with segmentation data for test site 810404

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Relationship between segment length and IRI range

4 8 12 16 20 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 IRI range [m/km] Average of Segment lengths [m] CDA segmentation ADA segmentation

Relationship between segment length and IRI range

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Reporting Interval Model

4 8 12 16 20 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 IRI range [m/km] Reporting interval [m] Average of CDA and ADA Logarithmic Linear Quadratic

0.09 0.99 L= -42.5 IRI2

range + 59.4 IRIrange - 4.3

Quadratic 0.54 0.98 L= 8.8 loge(IRIrange) + 20.4 Logarithmic 1.29 0.92 L= 21.2 IRIrange + 3.1 Linear SE R2 Equation Model

Comparison of three models for reporting interval. TABLE 3 Models for Correlating IRI Range (m/km) and Reporting Interval (m)

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Conclusions and Recommendations

A sample of 1332 roughness profiles has

been analyzed to evaluate the effect of localization of roughness values.

Two methods for segmenting profiles were

used.

ADA method is recommended when IRI

range is required because CDA may provide some segments that have IRI range

  • utside the required range.
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Conclusions and Recommendations (Cont.)

Segments were combined based on

different values of IRI range starting from 0.2 m/km to 0.7 m/km.

The relationship between IRI range and

segment length is estimated.

A quadratic mathematical model is

introduced to estimate the required interval for reporting roughness profiles.

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Thank You