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SEISMIC ISOLATION OF WHOLE CITY QUARTERS FOR AN EFFECTIVE AND PRESERVATIVE RECONSTRUCTION

2020· article· en· W3049763756 on OpenAlexaboutno aff
Marco Mezzi, Alessandro Fulco

Bibliographic record

VenueProceedings of International Structural Engineering and Construction · 2020
Typearticle
Languageen
FieldEngineering
TopicMasonry and Concrete Structural Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsMasonryQuarter (Canadian coin)ConstructiveBlock (permutation group theory)Civil engineeringConstruct (python library)Forensic engineeringArchitectural engineeringGeologyComputer scienceEngineeringGeographyArchaeologyMathematics

Abstract

fetched live from OpenAlex

The post-earthquake reconstruction should solve the problem to rebuild with safety but preserving the historical aspect of buildings and landscapes. This paper proposes a particular application of seismic isolation for the reconstruction of entire urban quarter or entire small centers with integral seismic protection. This involves the construction of large floating slabs having the size of entire compartments supported by seismic isolators and/or dampers, above which to construct buildings that can present the aesthetic and constructive characteristics of the collapsed traditional ones. The solution is suited for the reconstruction of villages or quarters collapsed or damaged. Buildings of any type (masonry, stone, r/c, steel, wood) and of different characteristics also significantly irregular can be freely built above slabs and all of them will be fully protected from the consequences of future expected quakes. Paper illustrates a case study related to a quarter of a historic town in Central Italy.

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)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.007
Threshold uncertainty score0.025

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0010.000
Open science0.0000.002
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0070.001

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 head0.007
GPT teacher head0.197
Teacher spread0.191 · 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 designNot applicable
Domainnot available
GenreOther

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

Citations2
Published2020
Admission routes1
Has abstractyes

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