Numerical Modelling for System-Level Structural Performance of 3D Printed Concrete Structures
Bibliographic record
Abstract
3D printing of concrete is a promising technical revolution of the construction industry aimed at bringing in the ease of construction, sustainability alongside the architectural intricacies.Given the novelty of 3D printing, the R&D focus has primarily been on aspects such as plastic state properties of concrete, printability and automation, with structural system-level performance and structural design basis of 3D printed structural components yet to receive the necessary focus.This study deals with the post construction analysis of 3DPC structures to examine their static and dynamic behavior at structural system-level.Dynamic Identification (DI) of a functional structure (3D-Printed) was carried non-destructively through ambient vibration testing (AVT) to quantify its dynamic behaviour, develop a calibrated numerical model, and study its response to gravity and lateral loads.Subsequently, this study developed a finite element based numerical model that could be used to perform structural analysis to develop design guidelines for structures built using this technology.
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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 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".