Predicting the technical reusability of load-bearing building components: A probabilistic approach towards developing a Circular Economy framework

Rakhshan, Kambiz; Morel, Jean‐Claude; Daneshkhah, Alireza

doi:10.1016/j.jobe.2021.102791

Cited by 18 publications

(18 citation statements)

References 52 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Recently, several scholars have investigated CE as an enabler to sustainable development (Borg et al , 2021; Camana et al , 2021; Dantas et al , 2021). Some studies explored material and design efficiency in terms of reuse and recycling (Borg et al , 2021; Honic et al , 2021; Karakutuk et al , 2021; Rakhshan et al , 2021; Sanchez et al , 2019). Several studies conducted consider the MP method for construction materials.…”

Section: Circular Economy and Materials Recycling Predictionmentioning

confidence: 99%

“…Similarly, Charef and Emmitt (2021) proffer that BIM has the inherent potential to support CE implementation in disparate areas such as: sustainable end-of-life; material passport (MP) development; circularity assessment and material banks. Other scholars explored deep learning applications for demolition waste and reuse potential prediction of building’s elements (Akanbi et al , 2020; Dong et al , 2022; Rakhshan et al , 2021; Xue et al , 2021). Furthermore, blockchain potential as a CE enabler in the built environment was explored by Shojaei et al (2021).…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Applications of Industry 4.0 digital technologies towards a construction circular economy: gap analysis and conceptual framework

Elghaish

Matarneh

Edwards

et al. 2022

View full text Add to dashboard Cite

Purpose This paper aims to explore the emerging relationship between Industry 4.0 (I4.0) digital technologies (e.g. blockchain, Internet of Things (IoT) and artificial intelligence (AI)) and the construction industry’s gradual transition into a circular economy (CE) system to foster the adoption of circular economy in the construction industry. Design/methodology/approach A critical and thematic analysis conducted on 115 scientific papers reveals a noticeable growth in adopting digital technologies to leverage a CE system. Moreover, a conceptual framework is developed to show the interrelationship between different I4.0 technologies to foster the implantation of CE in the construction industry. Findings Most of the existing bodies of research provide conceptual solutions rather than developing workable applications and the future of smart cities. Moreover, the coalescence of different technologies is highly recommended to enable tracking of building assets’ and components’ (e.g. fixtures and fittings and structural components) performance, which enables users to optimize the salvage value of components reusing or recycling them just in time and extending assets’ operating lifetime. Finally, circular supply chain management must be adopted for both new and existing buildings to realise the industry's CE ambitions. Hence, further applied research is required to foster CE adoption for existing cities and infrastructure that connects them. Originality/value This paper investigates the interrelationships between most emerging digital technologies and circular economy and concludes with the development of a conceptual digital ecosystem to integrate IoT, blockchain and AI into the operation of assets to direct future practical research applications

show abstract

Section: Circular Economy and Materials Recycling Predictionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Applications of Industry 4.0 digital technologies towards a construction circular economy: gap analysis and conceptual framework

Elghaish

Matarneh

Edwards

et al. 2022

View full text Add to dashboard Cite

show abstract

“…For instance, Huuhka and Hakanen (2015) used four categories for their barriers namely, economic, social, ecological and technological. Rakhshan et al (2021) added two more categories namely organizational and political barriers. Paletta et al (2019) used Technical-technological, Legislative, Economic and Sociocultural barriers, whereas Kirchherr et al (2018) used Technological, Regulatory, Market and Cultural Barriers.…”

Section: Scientometric Analysismentioning

confidence: 99%

“…The extra costs accruing from deconstruction prevent building owners and clients from seeking out this sustainable option. Other related economic/financial barriers such as the difficulty of reclaimed materials to break into established markets dominated by newly manufactured products inhibit market entry for such materials (Rakhshan et al, 2021). This is to say, the market prefers to spend on newly manufactured products rather than "second-hand" or reclaimed materials, preventing the entry of these recycled or reclaimed materials.…”

Section: Economic/financial Barriersmentioning

confidence: 99%

“…Under this category, limited design codes focusing on reclaimed materials, lack of building design standards for reducing CDW and lack of policy incentives (Veleva et al, 2017;Ghisellini et al, 2018;Gupta and Chaudhary, 2020;Kledynski et al, 2020;Rakhshan et al, 2021) were seen as the highest-occurring barriers. Some studies have shown that there is scanty information as to how buildings can be designed using reclaimed materials Charef and Emmitt, 2021).…”

Section: Technical Barriersmentioning

confidence: 99%

See 1 more Smart Citation

Barriers impeding circular economy (CE) uptake in the construction industry

Osei-Tutu¹,

Ayarkwa

Osei‐Asibey

et al. 2022

SASBE

View full text Add to dashboard Cite

PurposeThis study aimed to identify barriers impeding circular economy (CE) uptake in the construction industry in literature, categorize them for the development of a framework and to seek the interrelationships among the categorized barriers. This allowed for identifying integrated solutions to holistically address the barriers. The study also sought to identify the “hot” themes, the knowledge gaps and future research directions on barriers impeding CE.Design/methodology/approachForty-eight relevant articles were desk reviewed from different construction peer-reviewed journals and published conference papers. A scientometric analysis allowed for co-occurrence of keywords relating to CE. A content analysis enabled the identification of 79 barriers impeding the uptake of CE in the construction industry which were further categorized into six distinct categories for the development of a framework showing the interrelationships among the categorized barriers.FindingsThe identified barriers include construction sector inertia, lack of design standards, lack of knowledge, awareness and understanding, design cost, and perception of second-hand materials as substandard among others. The study categorized the identified barriers for better understanding into six different groups: cultural barriers, social barriers, environmental barriers, economic barriers, technical barriers and technological barriers. Strategies to address the barriers were also proposed. The interrelationships among the various barriers were also shown in a proposed framework to educate professionals on the interconnectivity of the barriers.Practical implicationsCategorization of the various barriers impeding CE uptake contributes to the body of knowledge. Also, the interrelationships among the various categorized barriers in the framework will enable construction professionals make informed decisions regarding the successful integration of CE in the industry, better appreciate the barriers that impede CE uptake and apply strategies to holistically address the barriers. This will expand current knowledge outside the narrow scope of isolated barriers.Social implicationsTo the global construction industry, the review presents a list of barriers and their interrelationships that could provide implementation strategies for the uptake of CE in the industry.Originality/valueThe geographical scope of this study is not limited, and therefore encourages wide applicability of the findings to the global construction industry.

show abstract

Application of Predictive Analytics in Built Environment Research: A Comprehensive Bibliometric Study to Explore Knowledge Domains and Future Research Agenda

Halder

Batra

2023

Arch Computat Methods Eng

View full text Add to dashboard Cite

Predicting the technical reusability of load-bearing building components: A probabilistic approach towards developing a Circular Economy framework

Cited by 18 publications

References 52 publications

Applications of Industry 4.0 digital technologies towards a construction circular economy: gap analysis and conceptual framework

Applications of Industry 4.0 digital technologies towards a construction circular economy: gap analysis and conceptual framework

Barriers impeding circular economy (CE) uptake in the construction industry

Application of Predictive Analytics in Built Environment Research: A Comprehensive Bibliometric Study to Explore Knowledge Domains and Future Research Agenda

Contact Info

Product

Resources

About