data and decisions qa is bigger than a single pipe

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Data and Decisions QA is bigger than a single pipe. Quality Assurance For Trenchless Pipeline Rehabilitation By, Andrew Pinello

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Quality Assurance For Trenchless Pipeline Rehabilitation. Data and Decisions QA is bigger than a single pipe. By, Andrew Pinello. Today I wish to cover Pipe Data Decision Processes Real world CIPP. Service Area – 204 Sq Miles 15 Lift Stations 33,000 Manholes - PowerPoint PPT Presentation

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Page 1: Data and Decisions QA is bigger than a single pipe

Data and DecisionsQA is bigger than a single pipe.

Quality Assurance For Trenchless Pipeline

Rehabilitation

By,Andrew Pinello

Page 2: Data and Decisions QA is bigger than a single pipe

Today I wish to cover

Pipe Data Decision ProcessesReal world CIPP

Page 3: Data and Decisions QA is bigger than a single pipe

• Service Area – 204 Sq Miles• 15 Lift Stations• 33,000 Manholes• 1,640 Miles of collection

system pipe– 18 Miles Interceptors (42” – 84”)– 90 Miles Trunk Lines (18” – 36”)– 160 Miles Collectors (10” – 15”)– 1,400 Miles Local Collector (<10”)

Page 4: Data and Decisions QA is bigger than a single pipe

Manhole Inspection,

CCTV Inspection & Cleaning

Data Quality Review

Rej

ect

Accept

Determine Rehab

Responses

Condition Analysis

Prepare Rehabilitation

Design

Rehabilitation Required

Yes

Define Reinspection

Schedule

Perform Contracting

Perform Construction Management

Rehabilitation QA/QC

Inspection

No

Page 5: Data and Decisions QA is bigger than a single pipe

Gather Data • Methods• NASSCO (PACP)

Guidelines• Closed Circuit

Television (CCTV)• Structural and O&M

Rankings • Consider age of pipe,

material, and maintenance history

Page 6: Data and Decisions QA is bigger than a single pipe

StructuralCracks, Fractures, Holes, Corrosion, etc.

Defect Grades / Response Codes Assigned

O&MGrease, Roots, Obstacles, etc.

Page 7: Data and Decisions QA is bigger than a single pipe

Condition Grades Definitions

1 Excellent: Minor defects (failure unlikely in the foreseeable future)

2 Good: Defects that have not begun to deteriorate (pipe unlikely to fail for at least 20 years)

3 Fair: Moderate defects that will continue to deteriorate (pipe may fail in 10 to 20 years)

4 Poor: Severe defects that will become Grade 5 defects in the near future (pipe may fail in 5 to 10 years)

5 Immediate Attention: Defects requiring immediate attention (pipe has failed or will likely fail within the next five years)

Indicates Severity – Structural Damage or Defects

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Indicates Criticality – Targeted Time Frame for Rehabilitation

Response

Response Codes Schedule

A Requires immediate attention

B Requires near term repairs or maintenance in 90 to 180 days

C Requires repairs or maintenance to be completed within 1-2 years

D Re-inspect within 3-5 years

E Perform a re-inspection within 15 years of the initial inspection.

Page 9: Data and Decisions QA is bigger than a single pipe
Page 10: Data and Decisions QA is bigger than a single pipe

So now that I know “everything” about this line… What do I do?

Page 11: Data and Decisions QA is bigger than a single pipe

Things to consider:SafetyAccessWork timesWhat Will WorkBypass Requirements

Page 12: Data and Decisions QA is bigger than a single pipe

Styrene Are you good with it?

http://www.styrene.org/ http://www.epa.gov/ttnatw01/hlthef/styrene.html http://www.osha.gov/SLTC/styrene/index.html

Can you answer the questions in public

Page 13: Data and Decisions QA is bigger than a single pipe

•Compare to previous similar situations•Use contractor submitted examples•Use consultant submitted examples

Become informed about what the finished product will look like.

•CIPP is NOT the host pipe •CIPP WILL reflect the host pipe in all aspects•CIPP will NOT change grade

CIPP is a new pipe within the constraints of the old pipe

Page 14: Data and Decisions QA is bigger than a single pipe

Replacement can make more problems than it solves

Page 15: Data and Decisions QA is bigger than a single pipe

The camera only shows what the operator looks at…

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CIPP When data and decisions come together a lot can happen.