Baseline Condition Assessment
- 1. BASELINE CONDITION DATA COLLECTION FOR PIPES AND PIPELINERS L. Grant Whittle, Sunil K. Sinha, and Jai K. Jung Virginia Tech SWIM Center and David M. Burke, WSSC Paper ID #F-4-04
- 2. The Need • 2005 EPA collaborative working session with 140 water asset management professionals from 12 countries • action item priorities: – #3 was “Development of a central depository of high quality data available to researchers” – #6 was "Develop uniform national standards for condition assessment and asset reporting.“ (Requires #3) Paper ID #F-4-04
- 3. Baseline Condition Assessment Report Should document: •All parties involved, •Technologies utilized, •Design decisions, •Design variables, •“As-built” variables, and •All cost data. Paper ID #F-4-04
- 4. Variables to Monitor • Critical performance variables are identified during design • These should be tracked and confirmed during: – manufacturing, – construction, and – quality assurance testing for commissioning. Paper ID #F-4-04
- 5. Data to Collect for each Variable • The individual responsible for capturing the data, • The method of assessment, including identification of equipment • The standards or equations followed • The accuracy limits of the assessment method • The confidence regarding the assessment of each variable • Comments by the project engineer, as desired. Paper ID #F-4-04
- 6. Required Data is Routinely Available During: •Pre-qualification •Design •Procurement •Manufacturing •Construction •Qualification •Operations and Maintenance •Retirement Paper ID #F-4-04
- 7. BCA Data during Pre-qualification • Utilities have significantly different pre-qualification practices as discussed in the paper. • Pre-qualification provides the opportunity to capture the design claims regarding performance life impacting variables. Digitally link all pre-qual documentation. • Data from Product Qualification Submittal Packages (PQSPs) compliant with the national data structure can be readily imported into any preferred format for product review and for future comparison with project BCA data, and can be perpetually accessible for life-cycle analysis. • Historical BCA data can also be reviewed for qualification. Paper ID #F-4-04
- 8. BCA Data during Design • All design criteria should be recorded in the BCA report for correlation with as-built performance; design documents should be digitally linked to the BCA Report. • Referenced industry consensus standards and selected structural and constructability design controls should be included in the BCA Report. • Many design variables can be better approximated or accessed from pre-existing data accessible via GIS which can be imported into the BCA report. • Historical BCA data can be utilized for performance based design and to drive strategic asset management decisions. Paper ID #F-4-04
- 9. BCA Data during Procurement • The BCA Report should capture all all incidental, direct, and indirect cost data pertaining to the project • All routinely generated procurement documentation should be digitally linked to the BCA report • Such BCA data can be analyzed for actuarial risk of project designs involving specific site conditions, technologies, and even the expertise of specific construction crews. • Actuarial risk expertise can be integrated into the procurement process Paper ID #F-4-04
- 10. BCA Data during Manufacturing • The BCA Report should capture all condition assessment data routinely captured during the manufacturing QA/QC. • All routinely generated manufacturing documentation should be digitally linked to the BCA report. • High volumes of data can be analyzed for compliance against PQSP data by computers. • Manufacturing variance can be correlated with life-cycle performance for continuous process improvement. • Design property consistency and reliability should influence risk management decisions (including QA/QC rates) in design and construction. Paper ID #F-4-04
- 11. BCA Data during Construction • The BCA Report should capture all condition assessment data routinely captured during the construction QA/QC. • All routinely generated construction documentation should be digitally linked to the BCA report. • High volumes of data can be analyzed for compliance against PQSP data by computers. • Construction variance can be correlated with life-cycle performance for continuous process improvement. • Constructability issues should influence risk management decisions (including QA/QC rates) in design and construction. Paper ID #F-4-04
- 12. BCA Data during Qualification • The BCA Report should capture all condition assessment data routinely captured during post-construction QA/QC. • All routinely generated qualification documentation should be digitally linked to the BCA report. • High volumes of data can be analyzed for compliance against PQSP data by computers. • “As-built” variance can be correlated with life-cycle performance for continuous process improvement. • Design property consistency and reliability “as-built” should influence risk management decisions (including QA/QC rates) in design and construction. Paper ID #F-4-04
- 13. How to Achieve • Data standards need to be incorporated into the existing workflow and data needs to be computer extracted, transformed, and loaded (ETL) into the GIS database for aggregation. • Control costs: enter data once, import/export, and reconfirm as utilized • Collect and use data at every level of management • Collect and use data across departments: design, O&M, general management, accounting, legal, etc. Paper ID #F-4-04
- 14. BCA Reporting Standards • Propose establishing data reporting standards for each technology class, compliant with a national data structure. • Data standards should mirror the variables governed within established consensus design, material, product, construction, and maintenance standards • The majority of this data is already generated or “touched” prior to asset commissioning, but it is not being captured for perpetual use. Paper ID #F-4-04
- 15. “Perpetual Use” Data • Spending money for solitary use data is inefficient and very expensive. • Few utilities expend the resources for adequate “solitary use” quality assurance, including construction inspection. • CCTV received relatively limited use when it was employed to acquire “solitary use” data. • With the establishment of national data standards, CCTV data now has “perpetual use” value. • Adequate qualification and construction inspection will increase once such data has “perpetual use” value. Paper ID #F-4-04
- 16. When to Capture Data • No asset should be commissioned without a BCA Report following a national data standard. We recommend this as a requirement on all federally funded projects. • The BCA Report should be associated with the relevant assets through the GIS system. • The BCA Report should include an O&M and Sustainability Plan (OMSP), including projected costs. • The OMSP should be updated during subsequent O&M Condition Assessment Reports. • Forensic Reports should also be captured. Paper ID #F-4-04
- 17. Value of Aggregated BCA Data: • Provides a baseline for time-dependent performance modeling essential to Asset Management. A baseline is required for accurate measurement of change over time. • The record of cumulative experience will enable viable performance based design. • With a sufficient data set, actuarial risk can be determined for a particular design as built by a particular contractor. • With proper allocation of actuarial risk, the procurement process can prospectively ensure that the low bidder actually provides the best opportunity to achieve the lowest life-cycle cost. Paper ID #F-4-04
- 18. Using BCA Data for SAM • SAM has been limited by the high cost of acquiring large volumes of compatible time-dependent data to perform reliable prediction modeling; BCA Reporting as part of the routine workflow will eliminate this barrier to SAM. • Developing, benchmarking, validating, and employing prediction models becomes viable with an affordable and comprehensive aggregated data set. • Analytical methods for SAM should not be specified; standardize the data set, and specify reliability requirements, and then permit academics, consultants, actuaries, and utilities to compete to develop increasingly reliable prediction models. Paper ID #F-4-04
- 19. Conclusions • BCA Data is essential for proper product qualification. • The standardized aggregation and analysis of BCA Data will improve: pre-qualification, design, construction management, post-construction qualification testing, asset commissioning, and O&M. • The BCA data stream can be analyzed against the BCA performance claims within the PQSP via automation. • BCA Data is also critical to prediction modeling for SAM. • The standardized aggregation and analysis of BCA Data will improve: the structural, operational, and financial life- cycle analysis for the assets. Paper ID #F-4-04
- 20. BASELINE CONDITION DATA COLLECTION FOR PIPES AND PIPELINERS L. Grant Whittle, Sunil K. Sinha, and Jai K. Jung Virginia Tech SWIM Center and David M. Burke, WSSC Paper ID #F-4-04