BIM-based LCA assessment of seismic strengthening solutions for reinforced concrete precast industrial buildings

Raposo, Cátia; Rodrigues, Francisco; Rodrigues, Hugo

doi:10.1007/s41062-019-0239-7

Cited by 29 publications

(16 citation statements)

References 13 publications

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“…The reuse of steel is the main source of avoided environmental impact when recycled. Raposo et al [41] developed a structural BIM-based LCA assessment method for seismic reinforcement of precast reinforced concrete in industrial buildings to evaluate and compare the environmental impacts of new construction and seismic reinforcement solutions in an existing building. First, analyzing the respective seismic reinforcement solution took place, then accomplishing the corresponding LCA and finally calculating the LCC for each case.…”

Section: Literature Reviewmentioning

confidence: 99%

Parametric Optimization and Decision Support Model Framework for Life Cycle Cost Analysis and Life Cycle Assessment of Flexible Industrial Building Structures Integrating Production Planning

et al. 2022

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Most industrial buildings have a very short lifespan due to frequently changing production processes. The load-bearing structure severely limits the flexibility of industrial buildings and is a major contributor to their costs, carbon footprint and waste. This paper presents a parametric optimization and decision support (POD) model framework that enables automated structural analysis and simultaneous calculation of life cycle cost (LCC), life cycle assessment (LCA), recycling potential and flexibility assessment. A method for integrating production planning into early structural design extends the framework to consider the impact of changing production processes on the footprint of building structures already at an early design stage. With the introduction of a novel grading system, design teams can quickly compare the performance of different building variants to improve decision making. The POD model framework is tested by means of a variant study on a pilot project from a food and hygiene production facility. The results demonstrate the effectiveness of the framework for identifying potential economic and environmental savings, specifying alternative building materials, and finding low-impact industrial structures and enclosure variants. When comparing the examined building variants, significant differences in the LCC (63%), global warming potential (62%) and flexibility (55%) of the structural designs were identified. In future research, a multi-objective optimization algorithm will be implemented to automate the design search and thus improve the decision-making process.

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Section: Literature Reviewmentioning

confidence: 99%

Parametric Optimization and Decision Support Model Framework for Life Cycle Cost Analysis and Life Cycle Assessment of Flexible Industrial Building Structures Integrating Production Planning

et al. 2022

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“…By increase of BIM software interoperability among team members, more than %65 of the overall annual cost paid by clients, operators and building users has been saved. Also, different parties like software vendors had large benefit on their investment for BIM [28][29][30]. Furthermore BIM is capable of making multiple parties, and other benefits could be bring to the project by team member such as: 3D visualization, full understanding of project requirements, time saving, reduction of construction activities period and reduction of design problems [31][32][33].…”

Section: Bim Benefitsmentioning

confidence: 99%

Road Map to BIM Use for Infrastructure Domains: Identifying and Contextualizing Variables of Infrastructure Projects

et al. 2022

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Nowadays, construction activities and projects are becoming much more challenging to manage.Being involve with different stakeholders is a difficult task and information and communication technology (ICT) has been addressed as a solution. On the other hand, Building Information Modeling (BIM) has already taken first steps towards this big revolution and gained a place in the sector. By inspiration from modality of BIM, there can be an adoption to other sub-branch of construction industry such as infrastructure domain. Since BIM has proven benefits in buildings, infrastructure projects might gain similar advantages through proper implementation. The authors of this paper are suggesting the use of a new describing for the purpose of BIM adoption for infrastructure projects, namely; Infrastructure Building Information Modeling (I-BIM). The main aim of conducting this research is to identify and prove the lack of using BIM for infrastructure projects.Within this context, questionnaire survey designed and distributed among 187 participants. These respondents were mostly located at United States of America and Turkey. As a finding of this research, authors clarify the preponderance and impediment components in the path of I-BIM utilization and discuss five main categories to clustered selected 26 variables as benefit or barrier of I-BIM.

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“…Therefore, these tools are often used in the early design stages to identify the most important impacts. Most of the identified studies that used the plug-in approach for the calculation used the Tally tool [46][47][48][49]. Tally is a Revit plug-in, and it enables LCA analysis by the use of the Gabi database.…”

Section: Classification Of the Integration Process/interoperabilitymentioning

confidence: 99%

BIM and LCA Integration: A Systematic Literature Review

et al. 2020

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To foster sustainable development, the environmental impacts of the construction sector need to be reduced substantially. Life cycle assessment (LCA) is the established methodology for the quantification of environmental impacts, and therefore has been increasingly applied to assess the environmental performance of buildings. By coupling LCAs with digital design tools, e.g., building information modeling (BIM), the identification of environmental hotspots and their mitigation is possible during the design process. The objective of the study is to identify the current integration approaches, and determine the pros and cons of the integration process from different viewpoints, namely, technical, informational, organizational and functional issues. Therefore, a comprehensive systematic literature review (SLR) was performed. We identified 60 relevant BIM-LCA case studies and analyzed the applied BIM-LCA workflows in detail. A total of 16 of the reviewed studies applied LCA during the early design stage. These studies used a manual or semiautomatic data exchange between the BIM models and LCA tools. In most cases, contemporary BIM-LCA workflows utilized conventional spreadsheets (e.g., Excel sheets in 16 cases). However, the analysis shows that an automated link between LCA and BIM can be achieved when overcoming the technical, organizational and informational issues discussed in the paper. This could enable the streamlining of LCA applications in design practice, and thus support the necessary improvements in the environmental performance of buildings.

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BIM-based LCA assessment of seismic strengthening solutions for reinforced concrete precast industrial buildings

Cited by 29 publications

References 13 publications

Parametric Optimization and Decision Support Model Framework for Life Cycle Cost Analysis and Life Cycle Assessment of Flexible Industrial Building Structures Integrating Production Planning

Parametric Optimization and Decision Support Model Framework for Life Cycle Cost Analysis and Life Cycle Assessment of Flexible Industrial Building Structures Integrating Production Planning

Road Map to BIM Use for Infrastructure Domains: Identifying and Contextualizing Variables of Infrastructure Projects

BIM and LCA Integration: A Systematic Literature Review

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