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Record W4385628971 · doi:10.1007/s10924-023-02982-z

Recycling Construction, Renovation, and Demolition Plastic Waste: Review of the Status Quo, Challenges and Opportunities

2023· article· en· W4385628971 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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueJournal of Polymers and the Environment · 2023
Typearticle
Languageen
FieldEnvironmental Science
TopicMicroplastics and Plastic Pollution
Canadian institutionsNational Research Council CanadaMcGill University
FundersNational Research Council Canada
KeywordsDemolition wasteStatus quoDemolitionCircular economyPlastic wasteWaste managementBusinessEngineeringCivil engineering

Abstract

fetched live from OpenAlex

Abstract End-of-life treatment of construction, renovation, and demolition (CRD) plastic waste generated from day-to-day applications of plastics in the construction industry can negatively impact the environment if not handled properly. Addressing this issue is crucial considering the current unprecedented increasing rate of the use of plastics in the construction industry all over the world. Globally, the current option for managing CRD plastic waste is mainly landfill due to inadequate guidelines and standards, avoidance of risk, and lack of knowledge and experience in recycling CRD plastic waste. This trend counteracts the efforts towards a circular economy and crude oil independency. Therefore, developing commercially feasible end-of-use recycling technologies is indispensable to guarantee a sustainable future for the plastics employed in the construction sector. Despite the high theoretical recyclability of the plastics, recycling CRD plastic waste is economically unattractive since the material is contaminated and difficult to sort and separate. In addition, the cost of recycling is hardly recovered because of the material’s low value. This paper reviews the status quo, technologies, challenges, barriers, opportunities and recent initiatives on recycling CRD plastic waste. The paper identifies the framework and technology modifications required to overcome the current obstacles to implementing commercial-scale recycling. It emphasizes the importance of establishing an effective collection network, imposing price signals by authorities to impress landfilling of CRD plastic waste, and developing policies and regulations to enforce manufacturers to take end-of-life responsibilities by up-designing the product considering facilitated recycling. The paper concludes with a focus on investigating recent global state-of-art measures taken to tackle barriers against CRD plastic waste recycling. This study will assist the plastic construction sector with manufacturing, recycling, policymaking, benchmarking purposes, and implementation considering environmental and economic benefits.

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)0.001
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: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.906
Threshold uncertainty score0.204

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
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 head0.021
GPT teacher head0.204
Teacher spread0.183 · 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