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1 |
Transition from building information modeling (BIM) to integrated digital delivery (IDD) in sustainable building management: A knowledge discovery approach based review
انتقال از مدل سازی اطلاعات ساختمان (BIM) به تحویل دیجیتال یکپارچه (IDD) در مدیریت پایدار ساختمان: بررسی روش کشف دانش مبتنی بر بررسی-2021 Over the past decade, building information modeling (BIM) and sustainability have attracted increased
interest, with a concomitant rise in the number of related publications. However, research efforts made
in BIM for sustainable building management, especially using in all four Integrated Digital Delivery (IDD)
phases are minimal. Therefore, this study features a combined scientometric analysis and IDD thematic
discussion examining 471 scholarly bibliographies accessed from the Web of Science (WoS) database. The
purpose of this study is to statistically classify BIM-sustainability publications from 2007 to 2019 in order
to understand the research status, key themes, trends, and future challenges to be addressed in the field
of sustainable BIM. The most influential scholars, institutes, regions/countries, articles, and journals have
been identified. Moreover, clustering analyses identified topics that sustainable BIM research tended to
gravitate toward, such as cloud approaches, data sharing, life cycle energy efficiency, and informetric
analysis. The top 100 most cited documents from WoS were also manually classified into four quadrants
of IDD, namely design, fabrication, construction, and asset delivery and management. Ten BIMsustainability phenomena were observed throughout the life cycle of IDD. Finally, key research gaps
and important areas for future research in this field were identified. The clearly delineated clusters and
themes provide a practical overview and a deeper understanding of the current research progress of IDD
for building sustainability, highlighting the challenges and research gaps for future research.
keywords: مدلسازی اطلاعات ساختمان | بررسی انتقادی | سبوس سبز | تحویل دیجیتال مجتمع (IDD) | تجزیه و تحلیل علم سنجی | پایداری | Building information modeling | Critical review | Green BIM | Integrated digital delivery (IDD) | Scientometric analysis | Sustainability |
مقاله انگلیسی |
2 |
Establishment and application of intelligent city building information model based on BP neural network model
ایجاد و کاربرد مدل اطلاعات هوشمند شهرسازی براساس مدل شبکه عصبی BP-2020 The construction of smart cities in our country has received extensive attention. Under the situation that
smart cities are vigorously promoted nowadays, compared with traditional construction and operation and
maintenance methods, building information model (BIM) technology is more suitable to serve as an important
foundation for intelligent management in the whole process of construction projects. BIM is an abbreviation
for building information model. BIM relies on a variety of digital technologies, which can be used to realize
information modeling of urban buildings and infrastructure. The efficiency of information exchange in the
process of intelligence construction ensures the integrity and accuracy of information data exchange and
maintains the consistency of information data exchange. Data and information have objectivity, applicability,
transferability, and sharing. Geographic data is a digital representation of various geographical features and
phenomena and their relationships. BIM is a digital representation of physical and functional characteristics
of a facility. It can It is used as a shared knowledge resource for facility information. It becomes a reliable
basis for facility life-cycle decision-making. Input BP neural network, and then learn and train by BP neural
network. Keywords: BP neural network | Smart city | Building information model |
مقاله انگلیسی |
3 |
Automated clash resolution for reinforcement steel design in concrete frames via Q-learning and Building Information Modeling
رزولوشن برخورد خودکار برای طراحی فولاد تقویت کننده در قاب های بتنی از طریق یادگیری Q و مدل سازی اطلاعات ساخت-2020 The design of reinforcing steel bars (rebars) is critical to reinforced concrete (RC) structures. Generally, a good
number of rebars are required by a design code, particularly at member connections. As such, rebar clashes (i.e.,
collisions and congestions) would be inevitable. It would be impractical, labor-intensive, and error-prone to
avoid all possible clashes manually or even using standard design software. The building information modeling
(BIM) technology has been utilized by the present architecture, engineering, and construction (ACE) industry for
clash-free rebar designs. However, most existing BIM-based approaches offer the clash resolution strategy for
moving components with an optimization algorithm, and are only applicable to the RC structures with regular
shapes. In particular, the optimized path of rebars cannot be adjusted to avoid the obstacles, thus limiting the
practical applications. Furthermore, most existing studies lack the learning from design code and constructibility
constraints to realize automatic and intelligent arrangement and adjustment of rebars for avoiding the obstacles
encountered in complex RC joints and frame structures. Considering these shortcomings, the authors have recently
proposed an immediate reward-based multi-agent reinforcement learning (MARL) system with BIM, towards
automatic clash-free rebar designs of RC joints without clashes. However, as the immediate reward is
required in the MARL system for guiding the learning of a rebar design, it will not succeed in clash-free rebar
designs of complex RC structures where immediate reward is often unavailable. In this study, this study further
extends the previous work with Q-learning (a model-free reinforcement learning algorithm) for more realistic
path planning considering both immediate and delayed rewards in clash-free rebar designs for real-world RC
structures. In particular, the rebar design problem is treated as a path-planning problem of multi-agent system,
where each rebar is deemed as an intelligence reinforcement learning agent. Next, by employing the Q-learning
as the reinforcement learning engine, the particular form of state, action, and immediate and delayed rewards
for the reinforcement MARL for automatic rebar designs considering more actual constructible constraints and
design codes can be developed. Comprehensive experiments on three typical beam-column joints and a two-story
RC building frame were conducted to evaluate the efficiency of the proposed method. The study results of paths
of rebar designs, success rates, and average time confirm that the proposed framework with MARL and BIM is
effective and efficient. Keywords: Building Information Modeling | Reinforcement learning | Multi-agent | Q-learning | Rebar design | Clash resolution | Reinforced concrete frame |
مقاله انگلیسی |
4 |
Work package-based information modeling for resource-constrained scheduling of construction projects
مدل سازی اطلاعات مبتنی بر بسته کار برای برنامه ریزی محدود منابع از پروژه های ساختمانی-2020 As an essential problem in construction management, the resource-constrained project scheduling problem
(RCPSP) has been studied for decades; however, an integrated information model that fully supports the RCPSP
solving process is still lacking. Though building information modeling (BIM) was proposed to meet the data
requirements in the building life cycle, some scheduling and resource information are not considered in information
transfers between the information model and the RCPSP mathematical model. This paper presents an
integrated approach that enables fluent data flow from the information model to the RCPSP model for construction
scheduling. Within this approach, a work package-based information model is proposed to capture all
the required data of the RCPSP. Then, a semiautomatic method that integrates multisource data is introduced to
form the proposed information model, and an adaptive data transmission method is used to support a designed
multimode resource-constrained project scheduling problem (MRCPSP) model. The models and approaches are
validated using the data of an actual project, demonstrating the feasibility and efficiency. This study contributes
a novel integrated approach to formalizing a construction information model using a semiautomatic data integration
approach, covering the information requirement and enables fluent data flow in the RCPSP solving
process. Meanwhile, the work package-based information model is a successful attempt to introduce previouslygained
knowledge into automatic schedule generation processes. Future work, such as extending the information
model, creating new methods for RCPSP model generation, and data analytics, can bring new opportunities to
apply more complex and intelligent methods in project scheduling and construction management. Keywords: Information modeling | Data integration | Resource-constrained scheduling | Work package | Constraint programming | Optimization |
مقاله انگلیسی |
5 |
Evaluating industrial modularization strategies: Local vs. overseas fabrication
ارزیابی استراتژی های مدولار صنعتی: محلی در مقابل تولید خارج از کشور-2020 Modularization is becoming more popular in industrial construction to enhance various project management
aspects, including time, cost, safety, quality, and productivity. Although many studies have highlighted the
differences between modular and conventional (stick-built) construction, little research is conducted to evaluate
alternative fabrication strategies (e.g., overseas versus local fabrication). Some practitioners prefer to build
modules locally, while some others prefer to outsource the module fabrication overseas and ship them to the
industrial plant. This dramatically affects the decision on the size of the module envelope, and in turn, many
other associated factors. The purpose of this study is to develop an integrated framework to evaluate different
module fabrication strategies. This study employs various automation tools (e.g., building information modeling
(BIM), simulation modeling) to quantify the impact of module fabrication strategies on any selected industrial
project. The proposed framework considers various project aspects such as shipment and handling, fabrication,
lifting, module resizing, and module assembly yard to find the best fabrication strategy. An actual case study,
part of an industrial plant in Alberta, Canada, is presented in this paper to elucidate research contributions. Keywords: Modularization | Fabrication strategies | Overseas | Building information modeling (BIM) | Simulation | Decision support system | Conceptual cost analysis |
مقاله انگلیسی |
6 |
IFC-based process mining for design authoring
استخراج فرآیند مبتنی بر IFC برای تألیف طراحی-2020 Building Information Modelling (BIM) is defined as the process of creation and management of digital replica for
building products in a collaborative design set-up. On this basis, BIM as a digital collaboration platform in AECO
(Architecture, Engineering, Construction, and Operation) industry, can be upgraded to assist monitoring, control
and improvement of the business processes related to planning, design, construction and operation of building
facilities. The main problem in this regard, is the wastage of data related to activities completed by different
actors during the project; and subsequently, the lack of analytics to discover latent patterns in collaboration and
execution of such processes. The present study aims to enable BIM to capture digital footprints of project actors
and create event logs for design authoring phase of building projects. This is done using files in IFC (Industry
Foundation Classes) format, archived during the design process. We have developed algorithms to create event
logs from such archives, and analyzed the event logs using process mining (i.e. process discovery, conformance
checking and bottleneck analysis), to identify measures derived from as-happened processes. BIM managers can
implement such measures in monitoring, controlling and re-engineering work processes related to design authoring.
Two case studies were completed to validate and verify the products and findings of the research. Our
results show that process models discovered/fine-tuned at various resolutions and from different perspectives
(including ‘actor-centric’ and ‘phase-centric’ views) can provide a realistic view of the BIM project execution.
This includes understanding the structure of collaboration and hand-over of work; evaluation of compliance with
the BIM execution plan; and detection of bottlenecks and re-works. While the scope of the study has been limited
to design authoring processes, this mindset can be extended to other BIM uses, and other phases (such as
construction and operation) of building projects. Given the growing efforts on upgrading BIM to capture and
formalize the lifecycle data on the products, processes and actors, this study can strongly support BIM managers
with documentation and evaluation of the business processes and workflows in their project teams. Keywords: Building Information Modeling | Business processes management | Data mining | Process mining | BIM management | BIM Execution Planning |
مقاله انگلیسی |
7 |
Interoperability in building information modeling for AECO/FM industry
قابلیت همکاری در ساخت مدل سازی اطلاعات برای صنعت AECO / FM-2020 Data loss and communication problems may arise especially in complex construction projects, which in turn may
result in poor project performance. Interoperability smooths communication while increasing information
management quality. The aim of this paper is to investigate the interoperability research gaps and trends in
Building Information Modeling (BIM) for architecture, engineering, construction, operation, and facility management
(AECO/FM). This study adopted a holistic approach with a bibliometric search, a scientometric mapping
and analysis of interoperability in BIM research. Data about interoperability in BIM were collected through
an examination of 477 articles that were selected from the Scopus database. This study contributes to the body of
knowledge by highlighting the research trend and gaps in key areas, and their relationship with interoperability
in BIM. As results suggest, future studies should focus on interoperability in BIM to increase knowledge-integrated,
ontology-based, IT-based managed, collaborative, automated, well-visualized, and sustainable outcomes
throughout the project lifecycle. Keywords: Building information modeling (BIM) | Interoperability | Scientometric analysis | Scientometric mapping |
مقاله انگلیسی |
8 |
From BIM to extended reality in AEC industry
از BIM تا واقعیت گسترده در صنعت AEC-2020 In the Architecture, Engineering, and Construction (AEC) industry, Extended Reality (XR) technologies that
simulate a construction project in a multidimensional digital model and present multiple aspects of a project can
be a tremendous help in all stages of a project. This study aims to identify the outsourcing patterns for such
technologies among construction project stakeholders. Currently, there is limited literature about XR technologies,
and because of it, the sections containing the results of this study are as follows: (1) a concise review of the
most recent VR, AR, and MR technologies in the design and construction industry; (2) an introduction to the
most commonly used wearable XRs on the market in terms of features, ease of use, and their specifications; (3) a
summary of the different methods and software used for converting the BIM model to VR, AR, and MR; and (4)
finally, a case study included the integrated definition function (IDEF0) model that details how to convert the
BIM model of the NASA-Mars habitat project to a VR and MR model that uses Oculus Rift, HTC Vive, Samsung
HMD, and Microsoft HoloLens headsets. Overall, this study provides a comprehensive review regarding using XR
to solve a variety of construction project management issues effectively and efficiently. More importantly, this
study provides a roadmap for future efforts involving the implementation of XR technologies in the AEC industry. Keywords: Extended reality (XR) | Building information modeling (BIM) | AEC industry |
مقاله انگلیسی |
9 |
A building information modeling-based carbon emission measurement system for prefabricated residential buildings during the materialization phase
یک سیستم اندازه گیری انتشار کربن مبتنی بر ساخت مدل سازی اطلاعات برای ساختمانهای مسکونی پیش ساخته در مرحله تحقق-2020 This study develops a carbon emission measurement system for prefabricated residential buildings
(PRBs) during the materialization phase based on building information modeling (BIM) and a carbon
emission measurement model. The model is constructed using the carbon emission coefficient method.
For more accurate measurement, the materialization phase of PRBs’ carbon cycle is re-defined into five
stages (material production, material transportation, component production, component transportation,
and construction). This innovative system also incorporates Microsoft Access-based databases for data
management. The implementation of the system in a PRB project in Shenzhen, China revealed that over
90% of carbon emissions were generated in the building material production and construction stages, and
overall carbon emissions per unit volume of all the prefabricated components were 764.87 kg/m3, 20.11%
lower than those of the cast-in-situ parts. Compared with results obtained from the traditional method,
the system’s percentage error was 6.52%, showing good reliability in carbon emission measurement. The
discrepancy was reasonably justified by inevitable material losses and transportation distances. It is
concluded that the measurement system can accurately predict PRB projects’ carbon emissions in project
planning and early design, identify key areas for carbon emission pre-control, and facilitate dynamic
management of carbon emission reduction during the materialization phase. Keywords: System | Carbon emission measurement | Prefabricated residential building (PRB) | Materialization | Building information modeling (BIM) | Database |
مقاله انگلیسی |
10 |
IFC-based process mining for design authoring
استخراج فرآیند مبتنی بر IFC برای نگارش طراحی-2020 Building Information Modelling (BIM) is defined as the process of creation and management of digital replica for building products in a collaborative design set-up. On this basis, BIM as a digital collaboration platform in AECO (Architecture, Engineering, Construction, and Operation) industry, can be upgraded to assist monitoring, control and improvement of the business processes related to planning, design, construction and operation of building facilities. The main problem in this regard, is the wastage of data related to activities completed by different actors during the project; and subsequently, the lack of analytics to discover latent patterns in collaboration and execution of such processes. The present study aims to enable BIM to capture digital footprints of project actors and create event logs for design authoring phase of building projects. This is done using files in IFC (Industry Foundation Classes) format, archived during the design process. We have developed algorithms to create event logs from such archives, and analyzed the event logs using process mining (i.e. process discovery, conformance checking and bottleneck analysis), to identify measures derived from as-happened processes. BIM managers can implement such measures in monitoring, controlling and re-engineering work processes related to design au- thoring. Two case studies were completed to validate and verify the products and findings of the research. Our results show that process models discovered/fine-tuned at various resolutions and from different perspectives (including ‘actor-centric’ and ‘phase-centric’ views) can provide a realistic view of the BIM project execution. This includes understanding the structure of collaboration and hand-over of work; evaluation of compliance with the BIM execution plan; and detection of bottlenecks and re-works. While the scope of the study has been limited to design authoring processes, this mindset can be extended to other BIM uses, and other phases (such as construction and operation) of building projects. Given the growing efforts on upgrading BIM to capture and formalize the lifecycle data on the products, processes and actors, this study can strongly support BIM managers with documentation and evaluation of the business processes and workflows in their project teams. Keywords: Building Information Modeling | Business processes management | Data mining | Process mining | BIM management | BIM Execution Planning |
مقاله انگلیسی |