Behavior and Performance of Liner Pipe in Trenchless and Trenched Portions of Sliplining Rehabilitation
Bibliographic record
Abstract
Although the majority length of a liner pipe in sliplining rehabilitation is installed without excavation, some portions of the pipe are installed by the open-cut method at locations where connections cannot be made otherwise. The pipe undergoes a sudden change in loading condition, bedding condition and pipe ring composition when it passes through installation pits. A thorough understanding of these changes and how they affect the behaviour and performance of the installed pipe is necessary for effective designs that lead to satisfactory long-term performance. This paper presents an analysis of trenched and trenchless portions of grouted and ungrouted sliplined pipes. Liner pipe materials investigated include HDPE, PVC and reinforced fibreglass. Comparison are made between the trenchless and the trenched portions of the liner pipe in terms of loading, responses to load, effect of bedding and service life. A critical length is defined for the trenched portion in which joints should be avoided, and a practical formula is proposed for determining the critical length. The approach is illustrated by an example of a 915 mm (36) HDPE sliplined watermain. ######### behaviour, performance, sliplining, liner pipe, loading, trenchless, trenched portion, rehabilitation, joining
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".