Blast Response and Damage Mechanism of Prefabricated Segmental RC Bridge Piers
Bibliographic record
Abstract
Public transportation is vulnerable to terrorist attacks due to its accessibility, especially bridges in the highway and urban systems under blast loading. Prefabricated segmental reinforced concrete (PSRC) piers are one of the popular constructional elements in accelerated bridge construction projects in recent years. Therefore, it is necessary to investigate the dynamic response and damage mechanism of the PSRC pier under close-in blast loading. In this paper, a blast experiment on one conventional square reinforced concrete (RC) pier and one square PSRC pier was conducted in a bottom explosion experiment. Based on the test results, the numerical models were developed and calibrated according to the theoretical prestressing force, experimental displacement history, residual displacement, and failure height. The validated model could be used to reliably and accurately analyze the blast response and the damage mechanism of PSRC piers. Results showed that the PSRC pier had a localized segmental failure in the bottom explosion zone and other segments had vertical cracks and concrete extrusion above the explosion zone resulting from the concrete squeezing stress, and the segmental interface could block the stress flow propagation; the monolithic pier had massive transversal cracks on the upper parts due to the vertical propagation of stress flow; the PSRC pier had small relative segmental slips and rotations with a restored movement due to the restraint of prestressing force under a scaled distance of 0.6 m/kg1/3, while it had large localized slips with irreversible displacements without any restraint of prestressing force under a scaled distance of 0.4 m/kg1/3; the PSRC pier preferentially experienced localized segmental shear failure under surface blast, while it had an overall flexural failure under air burst; and the explosive energy of the PSRC pier was mainly dissipated by the deformation and spalling of concrete.
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 | 0.000 |
| 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 | 0.001 | 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".