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Item Details
| Title:
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PREDICTING THE REMAINING ECONOMIC LIFE OF WASTEWATER PIPES
PHASE I: DEVELOPMENT OF STANDARD DATA STRUCTURE TO SUPPORT WASTEWATER PIPE CONDITION AND PERFORMANCE PREDICTION |
| By: |
Sunil K. Sinha, Thiti Angkasuwansiri, Richard Thomasson |
| Format: |
Paperback |
| List price:
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£145.00 |
| Our price: |
£130.50 |
| Discount: |
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| You save:
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£14.50 |
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| ISBN 10: |
1843393336 |
| ISBN 13: |
9781843393337 |
| Availability: |
Usually dispatched within 1-3 weeks.
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| Stock: |
Currently 0 available |
| Publisher: |
IWA PUBLISHING |
| Pub. date: |
15 January, 2011 |
| Series: |
WERF Research Report Series |
| Pages: |
120 |
| Synopsis: |
Accurate prediction of wastewater pipe structural and functional deterioration plays an essential role in the utility asset management process and capital investment planning. The key to implementing an asset management strategy is a comprehensive understanding and prediction of asset condition and performance. The primary objective of this research is therefore to develop protocols and methods for predicting the remaining economic life of wastewater pipe assets. The limits of deterioration prediction capabilities are not in mathematical models or statistical analysis methods, but in lack of accurate and consistent data. This report presented the short-term phase-1 which has been completed with results from intensive literature reviews, various interviews with utilities, and pipe associations. In this phase, the research team investigated the life cycle of wastewater pipeline and identified the causes of pipe failure in different phases including design, manufacture, construction, operation and maintenance, and repair/rehabilitation/replacement. The research team has prepared various modes and mechanisms of pipe failure in wastewater infrastructure system as well as identified environmental and societal consequences of the failure. After reviewing all relevant reports and utility databases, the research team has developed a set of standard pipe parameter list (data structure) and pipe data collection methodology. The data structure has been classified into Gold, Silver, Bronze and Wood standard. |
| Publication: |
UK |
| Imprint: |
IWA Publishing |
| Returns: |
Returnable |
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