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Record W7117673134 · doi:10.52152/heranca.v8i4/1129

Material Analysis, Restoration and Protection of Modern and Contemporary Architectural Relics

2025· article· W7117673134 on OpenAlex

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueHerança · 2025
Typearticle
Language
FieldEngineering
TopicMasonry and Concrete Structural Analysis
Canadian institutionsDurham College
Fundersnot available
KeywordsSustainabilityCultural heritageConservationEnvironmental restorationImplementationCompatibility (geochemistry)Emerging technologies

Abstract

fetched live from OpenAlex

This study explores the potential of Reinforcement Sleeve Concrete Grouting Connection (RSCGC) technology as an innovative solution for restoring modern architectural relics. With the degradation of materials such as concrete, steel, and prefabricated components in contemporary buildings, the study aims to evaluate how this advanced restoration method can enhance the structural integrity and longevity of modern buildings while preserving their historical and cultural value. This research utilizes the systematic review method, examining 21 peer-reviewed journal articles, case studies, and technical reports on restoration methods and prefabricated construction technology. The research aims to analyze the potential of RSCGC in enhancing material compatibility, structural reinforcement, and authenticity preservation. The case studies comprise theoretical implementations and actual instances, providing an overall insight into the effectiveness of the technology across various settings. An analytical framework was employed to group restoration techniques by their compatibility with contemporary materials and their capacity for increasing the longevity of contemporary building structures. The findings suggest that RSCGC offers significant advantages over traditional restoration methods, including improved structural durability, faster application times, and compatibility with modern construction materials. It also offers enhanced sustainability by reducing material waste and minimizing long-term maintenance costs. However, the study also identifies the need for more diverse case studies and long-term empirical data to fully assess the technology’s effectiveness in various contexts. This study contributes to the growing body of knowledge on integrating advanced construction technologies into heritage conservation practices. It highlights the importance of modernizing restoration approaches to preserve modern architectural heritage, offering a potential paradigm shift in conservation strategies.

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.860
Threshold uncertainty score0.843

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.010
GPT teacher head0.212
Teacher spread0.202 · 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