A Building Information Modeling Approach for Adaptive Reuse Building Projects
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Adaptive reuse of buildings is considered a visionary practice and a superior alternative for new construction, in terms of sustainability. It is considered key for transitioning from a resource-based construction economy towards a circular one. Current approaches to support project design, planning, and execution with building information modelling (BIM) are insufficient to support adaptive reuse projects. BIM is insufficient when we think of adaptive reuse as a flow of building materials and components through a circular value chain, and when we conceive of existing assets as the future source of construction materials. In this paper, we show with examples that current BIM models do not support important project activities of adaptive reuse projects. Then, we identify needs and requirements for information models that support these activities. The requirements focus on how to effectively represent parts, materials, and systems, as well as, interfaces between them. We will also suggest additional properties that need to be defined in BIM models for adaptive reuse projects. The main contribution of this study is the development of a framework for an integrative BIM approach for improving adaptive reuse projects outcomes inside of a circular economy (CE) context.
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.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it