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Record W1562186033 · doi:10.1002/stab.201410171

Integrale Analyse von Bestandsbaumaßnahmen und vergleichende Nachhaltigkeitsbewertung

2014· article· de· W1562186033 on OpenAlexaff
Dieter Ungermann, Alena Patschin, Anja Pätzold, Eva Preckwinkel, Paul Floerke, Sonja Weiß, Mike Gralla, Tim Brandt, Thomas Ummenhofer, Manfred Hermann, Tim Zinke, Christoph Herrmann, Tina Dettmer, Karsten Tichelmann, Bastian Ziegler

Bibliographic record

VenueStahlbau · 2014
Typearticle
Languagede
FieldEngineering
TopicCivil and Structural Engineering Research
Canadian institutionsToronto Metropolitan University
Fundersnot available
KeywordsHumanitiesEngineeringArchitectural engineeringArt

Abstract

fetched live from OpenAlex

Abstract Bauen im Bestand beschreibt im Allgemeinen die Verdichtung, Modernisierung und Sanierung von bestehenden Gebäuden. Unter dem Aspekt der Nachhaltigkeit liegt der Schwerpunkt des Bauens der nächsten Jahrzehnte im Bestand. Hierbei ergeben sich große Chancen für den Stahl(leicht)bau, die im Rahmen der vorgestellten Forschungsergebnisse aufgezeigt werden. Die interdisziplinäre Planung von Gebäudeerweiterungen in Form von Aufstockungen aus Stahl erfolgt für ausgewählte, repräsentative Referenzgebäude und liefert eine Basis für weitere, allgemeine Erkenntnisse zum Bauen im Bestand unter Berücksichtigung von stadtplanerischen und architektonischen sowie bauphysikalischen Aspekten, statisch‐konstruktiven Anforderungen, des Baubetriebs, der Immobilienbewertung und lebenszyklusübergreifenden Nachhaltigkeitsbewertungen. Im Ergebnis liegen erstmalig detaillierte Ökobilanzergebnisse für spezifische Bestandsbaumaßnahmen vor, die eine Vorteilhaftigkeit gegenüber Abriss und Neubau ausweisen. Integral analysis of building projects dealing with existing structures including comparative assessments of sustainability – Exemplified through investigations of the building for the physics institute at the TU Dortmund, Germany. Building in existing contexts and structures considers urban densification, modernization and redevelopment of the existing building stock in general. Aspects of sustainability will primarily be focusing on refurbishment and restoration of existing buildings; they will be the challenge of future. These future developments unfold many opportunities for the application for steel and steel‐lightweight structures, which are highlighted through this presented research project. The interdisciplinary planning approach of roof top extensions for existing buildings with steel structures is simulated for selected, representative reference buildings and can be used to facilitate a basis for further insights in respect to building with existing structures. This approach considers city planning and architectural requirements, aspects of building physics, structural solutions, building process concerns, real estate assessment, sustainability and life cycle assessments. As a result, for the first time detailed outcomes regarding the life cycle assessments for specific projects dealing with the composition of existing structures in contrast to the process of demolition and new development are available. An advantage of building in existing context can be determined.

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 imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.014
Threshold uncertainty score0.027

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0040.006
Science and technology studies0.0010.001
Scholarly communication0.0030.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0060.001

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.

Opus teacher head0.011
GPT teacher head0.259
Teacher spread0.248 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSimulation or modeling
Domainnot available
GenreEmpirical

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".

Quick stats

Citations1
Published2014
Admission routes1
Has abstractyes

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