BIM-based life-cycle environmental assessment of prefabricated buildings

Ji, Yingbo; Qi, Kai; Qi, Yuan; Li, Yan; Li, Hong Xian; Lei, Zhen; Liu, Yan

doi:10.1108/ecam-01-2020-0017

Cited by 57 publications

(28 citation statements)

References 42 publications

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“…The clusters and connecting lines between keyword nodes in Figure 5 show these main research areas in EAT related to MPC: (1) EAT research in MPC is often linked to BIM [8,24], which is in the same cluster with RFID [10][11][12]22,[45][46][47][48][49][50] and energy saving [51]; (2) EAT in MPC does not simply apply to modular construction [52,53] but involves off-site construction [54]; (3) EAT in MPC is also widely used in prefabricated construction for construction project management [55], supply chain management [56] and digital construction using IoT [57], and literature review is one of the main research methods used in investigating EAT related to MPC. Some scholars have also studied the status quo of EAT research in the MPC field through the form of literature review [58,59]; (4) Point cloud [60], laser scanning using lidar and photogrammetry [61,62] and machine learning [63] are used in the construction progress monitoring [64] and quality control [65] of prefabricated construction; (5) Genetic algorithm is also used to optimise structural design and sustainable design in prefabrication [66,67]; (6) 3D printing and deep learning are also gradually applied in the MPC field for digital construction, promoting the transformation of the traditional construction industry to construction automation [58,68,69]; (7) Simulation is also often used in the MPC field for life cycle assessment to improve energy efficiency and sustainability, better guide construction and further promote innovation in the technical field [70]…”

Section: Co-occurrence Of Abstractmentioning

confidence: 99%

“…(1) Factory production of prefabricated components, so that the quality of components can be better controlled and labour costs can be reduced [6,70];…”

Section: Research Topics Within Eat In the Mpc Field 411 Prefabricationmentioning

confidence: 99%

“…(2) The characteristics of prefabricated construction determine a shorter construction period, which can greatly improve construction efficiency [70];…”

Section: Research Topics Within Eat In the Mpc Field 411 Prefabricationmentioning

confidence: 99%

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Mapping the Knowledge Domains of Emerging Advanced Technologies in the Management of Prefabricated Construction

Xiao

et al. 2021

Sustainability

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Emerging advanced technologies (EAT) have been regarded as significant technological innovations which can greatly improve the transforming construction industry. Given that research on EAT related to the management of prefabricated construction (MPC) has not yet been conducted, various researchers require a state-of-the-art summary of EAT research and implementation in the MPC field. The purpose of this paper is to provide a systematic literature review by analysing the selected 526 related publications in peer-reviewed leading journals during 2009–2020. Through a thorough review of selected papers from the state-of-the-art academic journals in the construction industry, EAT is recognised as the key area affecting the development of the MPC discipline. This study has value in offering original insights to summarise the advanced status quo of this field, helping subsequent researchers gain an in-depth understanding of the underlying structure of this field and allowing them to continue future research directions.

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Section: Co-occurrence Of Abstractmentioning

confidence: 99%

“…(1) Factory production of prefabricated components, so that the quality of components can be better controlled and labour costs can be reduced [6,70];…”

Section: Research Topics Within Eat In the Mpc Field 411 Prefabricationmentioning

confidence: 99%

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Mapping the Knowledge Domains of Emerging Advanced Technologies in the Management of Prefabricated Construction

Xiao

et al. 2021

Sustainability

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“…In recent years, prefabricated buildings have rapidly developed due to their low cost [1], high industrialization [2], and environment-friendly [3] characteristics, which are contrary to the traditional cast-in-situ constructions' inefficiency and waste of resources [4]. Moreover, research demonstrates the energy-saving potential of prefabrication based on life cycle analysis and thermal performance evaluation [5].…”

Section: Introductionmentioning

confidence: 99%

IFC-Based 4D Construction Management Information Model of Prefabricated Buildings and Its Application in Graph Database

et al. 2021

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Effective data interoperability and schedule analysis play a significant role in improving the management of prefabricated buildings. However, there is a lack of efficient strategies and comprehensive approaches for data interoperability and data-based automated schedule analysis. This paper intends to promote prefabricated buildings’ management by solving these two problems via developing an IFC-based framework consisting of three parts. Firstly, this framework proposed a mechanism to establish an IFC-based 4D construction management information model of prefabricated buildings. Furthermore, a non-relational database—graph database—is introduced to twin this model into a task-centered network to realize the interoperation of construction information among different participants. Finally, graph database-based strategies to update data, automatically analyze construction schedules and visualize the 4D construction management information model are described. The proposed framework is validated in a prefabricated engineering case. In this case, an IFC-based and graph database-based 4D construction management information model is established through IFC standard’s extension. The graph database-based analysis of the model automatically recognizes the engineering case’s critical path information, delay analysis information, and schedule network analysis information. It is illustrated that this framework can successfully establish a unified IFC-based information model of prefabricated buildings’ construction management to prompt effective data interoperability. In addition, the application of this IFC-based information model in graph database can automatically analyze the construction schedules to prevent possible delays in advance. In short, the significance of this paper is to innovatively propose an IFC-based and graph data-based information model to solve the difficulties of ineffective data interoperation and unautomated schedule analysis in prefabricated buildings’ construction management. This study can be the digital foundation of further IFC-based digital twin.

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“…A similar application is to use BIM to achieve roof sheathing layout optimization [1]. As BIM-related technologies have been developed, the design information from BIM can be incorporated into other analytical purposes in prefabrication, e.g., (1) enhanced manufacturing process and product evaluation in prefabrication [17][18][19], (2) BIM-enabled decision support tools (e.g., Internet of ings and radio frequency identification) in the prefabrication supply chain [6,[20][21][22][23][24], and (3) improvement of productivity and efficiency in the prefabrication processes [3,[25][26][27].…”

Section: Introductionmentioning

confidence: 99%

Building Information Modelling‐ (BIM‐) Based Generative Design for Drywall Installation Planning in Prefabricated Construction

Lobo

Lei

Liu

et al. 2021

Advances in Civil Engineering

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In prefabricated construction, building components are manufactured off-site before shipping to the site for installation. Accurate design and planning are essential for smooth on-site execution and improved efficiency, which requires evaluations of various design options. However, due to the design process’s complexity, such evaluations cannot be achieved without automation and optimization. Meanwhile, the recent advancement of digital design technologies (e.g., building information modelling (BIM)) has enabled flexibility in the design process. The integration of BIM with other analytical algorithms also allows optimization of designs, such as the generative design that can parametrize the design. This study proposes a generative design approach that utilizes the optimization of the drywall installation layout to improve overall project efficiency. The framework includes a decision support module that considers environmental, cost, and aesthetic aspects to identify the optimal layout. The framework’s practical applicability has been successfully demonstrated through a case study. After implementation, three “best” design alternatives were found according to the decision aspects. The design improvements achieved were 37.5%, 7%, and 54% for the environmental, cost, and aesthetic factors, respectively. Accordingly, practitioners can make better decisions on planning drywall projects. This approach has proven effective in planning drywall installation and can be applied in similar design scenarios for other prefabricated construction processes.

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BIM-based life-cycle environmental assessment of prefabricated buildings

Cited by 57 publications

References 42 publications

Mapping the Knowledge Domains of Emerging Advanced Technologies in the Management of Prefabricated Construction

Mapping the Knowledge Domains of Emerging Advanced Technologies in the Management of Prefabricated Construction

IFC-Based 4D Construction Management Information Model of Prefabricated Buildings and Its Application in Graph Database

Building Information Modelling‐ (BIM‐) Based Generative Design for Drywall Installation Planning in Prefabricated Construction

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