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Record W7008020834

Aplicação de ferramentas de análise do ciclo de vida na sustentabilidade da construção : estudo de caso

2008· dissertation· pt· W7008020834 on OpenAlexaboutno aff

Bibliographic record

VenuePortuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT) · 2008
Typedissertation
Languagept
FieldEngineering
TopicRecycled Aggregate Concrete Performance
Canadian institutionsnot available
Fundersnot available
KeywordsDe factoEuropean unionWork (physics)Context (archaeology)
DOInot available

Abstract

fetched live from OpenAlex

A construção e exploração de edifícios consome energia, materiais e água em grandes quantidades, que se torna legitimo dizer que o seu desenvolvimento sustentável depende, de alguma forma, do sector da construção. A União Europeia tem empreendido grandes esforços no sentido de desenvolver estratégias para a minimização de impactos ambientais resultantes da actividade da construção e promover as condições necessárias para que a indústria da construção se torne cada vez mais competitiva. Para tal foram identificados três factores tidos como fundamentais para o desenvolvimento sustentável da construção: a utilização de materiais “amigos do ambiente”, a eficiência energética dos edifícios e a gestão dos resíduos resultantes da construção como da demolição de estruturas. O objectivo principal deste trabalho é a apresentação de um caso de estudo que caminhe para uma solução final pensada e definida tendo em consideração os objectivos principais da construção sustentável, aplicando uma ferramenta de análise do ciclo de vida. A opção por uma moradia unifamiliar resultou em grande parte do facto deste sector da construção ser um sector estratégico para o crescimento das construções metálica e madeira a nível global e onde, em Portugal, imperam ainda as soluções de betão. Após definido o modelo de moradia, foi inserido no software Canadiano de análise do ciclo de vida ATHENA, as três soluções construtivas para o estudo comparativo: betão, aço e madeira. Dos resultados obtidos do programa, a principal conclusão a tirar foi que, comparativamente a outros estudos já realizados nesta área, a solução de madeira é a solução mais adequada do ponto de vista ambiental com menor consumo de energia, de materiais e gerando menos resíduos sólidos. A utilização de soluções construtivas que constam na base de dados do programa condicionou as escolhas a adoptar, podendo levar a conclusões um pouco distorcidos da realidade Portuguesa. ABSTRACT: Constructing and exploring buildings demands high quantities of energy, materials and water, which makes it legitimate to say that their sustainable development depends, to some extent, on the building trade. The European Union has been deeply involved in the development of novel strategies aimed at diminishing building environmental impacts and at promoting the necessary conditions for the building trade to become more and more competitive. To achieve such objectives, three factors have been considered as fundamental for the building sustainable development, namely the use of environment-friendly materials, the energetic efficiency of buildings and the management of wastes resulting from construction and structure demolitions. The main goal of this study is to present a study case, which may lead to a final solution based on the main principles of sustainable building. The option for a one-family house is due to the fact that building is strategically still very important for the growing of the metallic and wood building sector, bearing in mind that in Portugal concrete solutions still reign. After defining the house model, the three building solutions (concrete, steel and wood) were inserted in the Canadian software of life cycle analysis ATHENA. From the results obtained with the software, the main conclusion was that, in comparison with previous studies in the same field, the wood solution is the most adequate in terms of environment, with less energy and materials consumption and producing thus less solid wastes. The use of the building solutions, that exist in the software database, has restricted the options to take, leading eventually to a distort view of the Portuguese reality.

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 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)0.007
metaresearch head score (Gemma)0.005
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity
Consensus categoriesScience and technology studies, Research integrity
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.502
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0070.005
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0060.007
Science and technology studies0.0030.003
Scholarly communication0.0010.001
Open science0.0020.000
Research integrity0.0010.003
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 head0.051
GPT teacher head0.368
Teacher spread0.316 · 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; both teacher heads agree on what is shown here.

Study designBench or experimental
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

Citations0
Published2008
Admission routes1
Has abstractyes

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