Assessing the Sustainability of Alternative Structural Solutions of a Building: A Case Study

Vilutienė, Tatjana; Kumetaitis, Gvidas; Kiaulakis, Arvydas; Kalibatas, Darius

doi:10.3390/buildings10020036

Cited by 19 publications

(9 citation statements)

References 59 publications

(40 reference statements)

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“…First, analyzing the respective seismic reinforcement solution took place, then accomplishing the corresponding LCA and finally calculating the LCC for each case. Vilutiene et al [42] developed an early-design-stage decision model to assess the sustainability of alternative load-bearing structures, using a BIM-based structural analysis tool, structural BIM software, and two extra pieces of software for cost estimation and LCA calculation. Three types of load-bearing structures for a commercial building have been compared concerning different physical parameters-cost of construction and materials, technological dimensions, and environmental impact.…”

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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“…It is notable that the selected criteria fit into the general sustainability categories (see Figure 4): Economic (compliance with the economic logic), Social (compliance with the psychological and social logic), and Environmental (compliance with the best location option) [88].…”

Section: Criteriamentioning

confidence: 99%

Decision Tree and AHP Methods Application for Projects Assessment: A Case Study

et al. 2021

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This research is dedicated to the modelling of decision process occurring during the implementation of construction projects. Recent studies generally do not assess the robustness of the decisions regarding the possible changes during the construction project implementation. However, such an assessment might increase the reliability of the decision-making process. We addressed this gap through a new model that combines the decision-making process modelling with the AHP method and includes the analysis of model stability concerning stakeholders’ behaviour. We used the Analytic Hierarchy Process (AHP) and Decision tree methods to model the decision-making process. The proposed model was validated on a case study of multiple construction projects. The assessment was performed from individual investor’s and independent expert’s perspectives. The criteria for the assessment were selected according to the principles of sustainability. We performed the sensitivity analysis, making it possible to assess the possible changes of the decisions depending on the potential patterns of the decision-makers’ behaviour. The results of the study show that, sometimes, small fluctuations in the project factors affect the project selection indicating the possible lack of the robustness of the project decisions.

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“…Moreover, the use of sustainable materials in construction has several benefits, but there are also some risks in using environmental management practices. According to Vilutiene T. [7], additional costs, time, commitments, and a lack of available sustainable vendors and information are all regarded as important obstacles. Consequently, there is a variety of strategies that can be used to overcome these obstacles, including investing in the latest technologies and motivating employees through various incentives for thinking outside the box, and implementing sustainable practices within the organization [8].…”

Section: Introductionmentioning

confidence: 99%

Decision Making Toward Sustainable Material during Planning Stage at Construction in Seberang Perai Tengah Pulau Pinang

Musir,

Azlan,

Karim

et al. 2023

IOP Conf. Ser.: Earth Environ. Sci.

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The efficiency of using sustainable materials has been an important issue in ensuring the success of sustainable construction in Pulau Pinang. Unfortunately, the construction sector is one of the most energy-intensive sectors, contributing to global climate change and environmental issues. Thus, this study aims to identify the factor of sustainable materials selection in focusing on Seberang Perai Tengah and to determine the relationship between the decision-making factor and elements in the planning stage toward sustainable construction. The quantitative method was conducted by survey, and the instrument used was an online questionnaire survey. About 54 samples of the questionnaire were collected from those involved in the construction sector in Seberang Perai Tengah, Pulau Pinang. The result shows the factors of decision-making that have the most influence on sustainable material selection are technology and training. Meanwhile, the planning stage element that has the most significant influence on the criteria of sustainable material is the project life cycle. This study could be valuable for all parties in the construction industry, especially to the decision-maker, engineers, clients, employers and staff, academicians, policymakers, researchers, and organizations.

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Assessing the Sustainability of Alternative Structural Solutions of a Building: A Case Study

Cited by 19 publications

References 59 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

Decision Tree and AHP Methods Application for Projects Assessment: A Case Study

Decision Making Toward Sustainable Material during Planning Stage at Construction in Seberang Perai Tengah Pulau Pinang

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