Recent Technological Advancements in BIM and LCA Integration for Sustainable Construction: A Review

Chen, Zhonghao; Chen, Lin; Zhou, Xingyang; Huang, Lepeng; Sandanayake, Malindu; Yap, Pow-Seng

doi:10.3390/su16031340

Cited by 32 publications

(4 citation statements)

References 143 publications

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“…For point instantaneous occupancy, the moment and rotation values were 1.65 kNm and 0.0026 radians, respectively. For preventing point collapse, the moment and rotation values were 1.9344 kNm and 0.0356 radians, respectively [22][23][24]. According to the assessing the existing building findings, weak beams caused existing buildings to collapse first in the ordinate.…”

Section: Formation Of Plastic Hingesmentioning

confidence: 99%

Assessing and enhancing the seismic performance of existing RCC buildings

Arumugam,

Natarajan,

Veeramani

et al. 2024

Matéria (Rio J.)

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Due to collapse of buildings, the earthquakes in India and other countries have resulted in the death of people and damage to property. While it is impossible to prevent earthquakes, it is possible to lessen the damage they cause to existing structures by taking the necessary measures. It becomes crucial to perform an assessment first, then identify the weak members, and finally, carry out the necessary strengthening. Using pushover analysis, this study aims to evaluate the existing R.C. building in Zone-III. The analysis research shows the building's performance levels, component behaviour, failure mechanism, and hinge formation. Externally wrapped GFRP sheets were used to strengthen the existing member's deficiency.

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Section: Formation Of Plastic Hingesmentioning

confidence: 99%

Assessing and enhancing the seismic performance of existing RCC buildings

Arumugam,

Natarajan,

Veeramani

et al. 2024

Matéria (Rio J.)

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“…These studies also offer critical reviews of district-scale energy performance analysis and positive energy district approaches, highlighting their potential for decarbonization, their contribution to the ongoing conversation about sustainable urban development and their provision of valuable perspectives and approaches from which to achieving more resilient and livable cities. Numerous studies conducted by different researchers have explored a wide range of topics, encompassing the integration of building information modeling and life cycle assessment for sustainable construction, the role of natural resources and green innovations in the Chinese economy, and the influence of institutional investor ESG activism on corporate green innovation [53][54][55][56][57]. Furthermore, investigations have been conducted on various subjects, including credit rating algorithms, rural rooftop photovoltaics, urban heat prediction, and material stock analysis of urban roads [58][59][60][61][62].…”

Section: Study Limitationsmentioning

confidence: 99%

Exploring the Influence of Dynamic Indicators in Urban Spaces on Residents’ Environmental Behavior: A Case Study in Shanghai Utilizing Mixed-Methods Approach and Artificial Neural Network (ANN) Modeling

Lyu

2024

Sustainability

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The main aim of this article is to evaluate the impact of dynamic indicators associated with urban spaces on the environmental behavior of residents in Shanghai, China. With the city experiencing rapid urbanization and increasing environmental concerns, it is crucial to understand how the design and management of urban spaces can encourage pro-environmental attitudes and actions among the population. The study specifically focuses on dynamic indicators, namely vitality, accessibility, quality, and walkability, to develop a comprehensive understanding of the utilization and experience of urban spaces. The research outcomes will make valuable contributions towards Shanghai’s objectives of achieving environmental sustainability, while also providing insights that have broader relevance to sustainable urban development globally. As the built environment significantly influences energy consumption, resource utilization, pollution generation, and overall human wellbeing, attaining urban sustainability is of paramount importance. The findings of this study will aid in informing strategies and policies that promote sustainable practices, not only benefiting Shanghai but also serving as a valuable resource for urban development initiatives worldwide. Sustainable urban design principles, including compactness, density, mixed land use, greening, and walkability, have been associated with pro-environmental behaviors, including reduced reliance on automobiles, increased walking and cycling, and heightened environmental consciousness. Nevertheless, the relationship between the built environment and sustainability behaviors is intricate and is influenced by multiple factors. Consequently, further research is necessary to comprehend how specific spatial and temporal dynamics impact environmental behaviors within urban settings. In this study, an artificial neural network (ANN) was developed to estimate the quality and walkability of an area and environmental behaviors by considering the augmented vitality and accessibility factors. The ANN’s predictions demonstrate that higher levels of vitality and accessibility positively contribute to improved walkability and environmental behaviors. The accuracy of the ANN’s predictions was assessed using linear regression, which yielded acceptable error rates when compared with experimental results.

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“…Utilizing BIM also facilitates the evaluation of environmental impacts and the selection of sustainable alternatives [5]. Recent studies in sustainable construction emphasize the integration of BIM, life-cycle assessment (LCA), and CE principles to enhance environmental performance throughout all stages of a building's life cycle [6,7]. This combination facilitates thorough environmental assessments, optimizes designs to address environmental issues early on, and manages complex data efficiently, thereby saving time and costs.…”

Section: Introductionmentioning

confidence: 99%

An Integrated Building Information Modeling and Life-Cycle Assessment Approach to Facilitate Design Decisions on Sustainable Building Projects in Canada

Namaki,

Vegesna,

Bigdellou

et al. 2024

Sustainability

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In the context of the digital and sustainable transformation of building projects, the integrated approach of Building Information Modeling (BIM) and life-cycle assessment (LCA) has been widely studied. Recent advancements in such integrated modeling processes and techniques have not yet provided reliable and robust decision-making capabilities for designers to intuitively choose between material alternatives. This study develops a new design framework that integrates BIM, LCA, and multi-criteria decision-making (MCDM) algorithms to facilitate sustainable design processes in building projects. A case study using a single-family housing project in the British Columbia province of Canada was implemented to test the designs to demonstrate the effectiveness of the proposed integrated framework, including a three-way comparison of design scenarios—conventional hot-roll steel, recycled steel, and timber. The results indicate a significant performance improvement with the adoption of recycled structural steel materials, surpassing conventional steel designs and demonstrating a similar performance to that of timber designs. The study underscores the importance of informed decision-making in material selection, driven by the quantitative analysis of digital designs and multi-criteria evaluation (e.g., social carbon cost). This integrated framework offers a valuable tool for designers, engineers, and builders to achieve sustainability when designing building projects through the systematic and rapid comparison of environmental performance.

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Recent Technological Advancements in BIM and LCA Integration for Sustainable Construction: A Review

Cited by 32 publications

References 143 publications

Assessing and enhancing the seismic performance of existing RCC buildings

Assessing and enhancing the seismic performance of existing RCC buildings

Exploring the Influence of Dynamic Indicators in Urban Spaces on Residents’ Environmental Behavior: A Case Study in Shanghai Utilizing Mixed-Methods Approach and Artificial Neural Network (ANN) Modeling

An Integrated Building Information Modeling and Life-Cycle Assessment Approach to Facilitate Design Decisions on Sustainable Building Projects in Canada

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