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Record W4416071128 · doi:10.1186/s43065-025-00157-9

Numerical investigation of bonding in stone-clad Façades: comparative analysis with and without mechanical anchorage

2025· article· en· W4416071128 on OpenAlex
Farhood Shahidi, Vahid Shafaie, Oveys Ghodousian, Seyed Ali Emamian, Majid Movahedi Rad

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

VenueJournal of Infrastructure Preservation and Resilience · 2025
Typearticle
Languageen
FieldEngineering
TopicMasonry and Concrete Structural Analysis
Canadian institutionsUniversité Laval
Fundersnot available
KeywordsFinite element methodAdhesiveShear (geology)Fracture (geology)Numerical modelsInterface (matter)Computer simulationElement (criminal law)

Abstract

fetched live from OpenAlex

Abstract Reliable simulation of bond behavior between stone façade panels and concrete substrates is crucial for safe façade design, particularly with mechanical anchorage. Conventional finite element models relying on tie constraints overestimate interface strength, especially in the absence of surface preparation or bonding agents. This study develops and validates a physically motivated, element deletion–based finite element methodology to accurately simulate crack initiation, propagation, and failure at the mortar–stone interface. The three-dimensional numerical models, implemented in ABAQUS and benchmarked against laboratory splitting shear tests, represent the composite system comprising a concrete substrate, sand-cement adhesive mortar, and a Travertine stone façade. Both unanchored and Z-type mechanically anchored configurations were examined. Results demonstrate the approach yields accurate predictions of failure loads and damage evolution: for unanchored specimens, the maximum numerical–experimental deviation was below 2%, while Z-type clip anchorage significantly enhanced the load-bearing capacity and altered the fracture mechanism. Compared to conventional tie or interface-layer models, the element deletion strategy provides a computationally efficient and transparent tool for capturing the failure behavior of stone–mortar–concrete composites. The findings offer insights for optimizing façade anchorage design and provide a validated numerical framework for future research.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.057
Threshold uncertainty score0.298

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 head0.008
GPT teacher head0.251
Teacher spread0.242 · 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