Bibliographic record
Abstract
Reinforced concrete (RC) structures exhibit a complex behavior even for low load levels.\nNon-linear compressive stress-strain relations, tensile cracking, post cracking softening and interaction effects between concrete and reinforcing bars are the main sources of a highly nonlinear and complicated response. In order to capture the real structural behavior, sophisticated numerical tools are necessary to take into account all the remarkable phenomena and to perform the time-consuming non-linear calculations.\nIn this doctorate dissertation, the three-dimensional (3D) constitutive model for non-linear analysis of RC structures 3D-PARC – Three-Dimensional Physical Approach for Reinforced Concrete, is presented. The 3D study started some years ago with the author's graduate thesis which laid the foundations of the model [34]. That work was an extension of PARC, a numerical model for membrane elements subjected to plane stress (Figure 1.1) developed at the Department of Civil Engineering of the University of Parma [8, 9]. The PARC formulation is based on some previous works [25, 14].\nIn the author's graduate thesis, the model was implemented in TRE, a computer code which can analyze the behavior of a single material point and therefore, also of simple structures subjected to uniform stress. The good results achieved were an encouragement to keep on working on this topic.\nThe research carried out during the doctorate, deepens the investigation of the model theory and the development of numerical tools to provide efficacy and power to its application. Starting from the work already done, a new approach is developed and implemented. However, the basic philosophy does not change: the model remains as close as possible to the physical reality, without using numerical devices which are often “unphysical”. The starting point for the model formulation is the study of physical phenomena (concrete subjected to multiaxial stresses, aggregate bridging and interlock, tension stiffening, dowel action) through single basic studies which are assembled to build the model.The developed theory is implemented in a FORTRAN code which can be used within the commercial Finite Element (FE) code ABAQUS [1]. In this way, the model can be used to\nanalyze structures subjected to complex stress states. In fact, the FE formulation gives the possibility to model a wide range of structures independently on the geometry.\nSubsequently, the theory formulation as well as the numerical implementation are validated by some significant comparisons with experimental tests taken from the literature.\nDuring a six-month collaboration with the Institute of Structural Engineering (IKI) of the University of Natural Resources and Applied Life Sciences – BOKU in Vienna, the software package SARA, which includes the RC-oriented FE code ATENA and the statistical module FREET, was also used. This research program produced the FE analysis of RC corbels reported in Chapter 5.
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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 | 0.001 |
| Research integrity | 0.001 | 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".