scholarly journals PREFACE

2019 ◽  
Vol IV-4/W8 ◽  
pp. 1-1
Author(s):  
R. Stouffs ◽  
F. Biljecki ◽  
K. H. Soon ◽  
V. Khoo
Keyword(s):  
Decision Makers ◽  
Scientific Committee ◽  
Special Issue ◽  
Valuable Contribution ◽  
Double Blind ◽  
Building Information Modelling ◽  
Digital Twins ◽  
Building Information ◽  
Computer Scientists ◽  
National University

<p><strong>Abstract.</strong> Aiming to bring together international researchers from academia, industry and government in the field of 3D geoinformation, the annual 3D GeoInfo Conference offers an interdisciplinary forum to researchers in the fields of data collection, advanced modelling approaches, data analysis and visualisation. The 14th 3D GeoInfo Conference 2019 was held on 26 and 27 September 2019 at the Asian Civilisations Museum in Singapore, organised by the National University of Singapore, School of Design and Environment, and the Singapore Land Authority, in collaboration with ISPRS WG IV/10. </p><p>This volume of the ISPRS Annals contains the 19 papers that were accepted for presentation at the conference following a fullpaper double-blind peer review from the Scientific Committee of the 3D GeoInfo Conference. Among others, they cover subjects of urban reconstruction, 3D mapping and digital twins, machine learning and urban analysis, and the integration of Building Information Modelling (BIM) and GIS. Another 17 presented papers are published in the ISPRS Archives.</p><p>We hope that the papers in this special issue will inspire decision-makers, academics, engineers, computer scientists, land surveyors, urban planners, and students interested in the 3D geoinformation domain. We would like to thank all the authors, the Scientific Committee, and the entire Organising Committee for their valuable contribution towards this special issue. Additionally, we would like to thank Giorgio Agugiaro, chair of WG IV/10, for his support of the conference and Jielin Chen and Palak Mehta for their help with checking the formatting of the papers.</p>

scholarly journals PREFACE

2019 ◽  
Vol XLII-4/W15 ◽  
pp. 1-1
Author(s):  
R. Stouffs ◽  
F. Biljecki ◽  
K. H. Soon ◽  
V. Khoo
Keyword(s):  
Decision Makers ◽  
Scientific Committee ◽  
Special Issue ◽  
Valuable Contribution ◽  
Double Blind ◽  
Building Information Modelling ◽  
Digital Twins ◽  
Building Information ◽  
Computer Scientists ◽  
National University

<p><strong>Abstract.</strong> Aiming to bring together international researchers from academia, industry and government in the field of 3D geoinformation, the annual 3D GeoInfo Conference offers an interdisciplinary forum to researchers in the fields of data collection, advanced modelling approaches, data analysis and visualisation. The 14th 3D GeoInfo Conference 2019 was held on 26 and 27 September 2019 at the Asian Civilisations Museum in Singapore, organised by the National University of Singapore, School of Design and Environment, and the Singapore Land Authority, in collaboration with ISPRS WG IV/10.</p><p>This volume of the ISPRS Archives contains the 17 papers that were accepted for presentation at the conference following an extended-abstract double-blind peer review from the Scientific Committee of the 3D GeoInfo Conference. Among others, they cover subjects of 3D mapping and digital twins, machine learning and urban analysis, and the integration of Building Information Modelling (BIM) and GIS. Another 19 presented papers are published in the ISPRS Annals.</p><p>We hope that the papers in this special issue will inspire decision-makers, academics, engineers, computer scientists, land surveyors, urban planners, and students interested in the 3D geoinformation domain. We would like to thank all the authors, the Scientific Committee, and the entire Organising Committee for their valuable contribution towards this special issue. Additionally, we would like to thank Giorgio Agugiaro, chair of WG IV/10, for his support of the conference and Jielin Chen and Palak Mehta for their help with checking the formatting of the papers.</p>

scholarly journals Special issue editorial - Construction 4.0: Established and emerging digital technologies within the construction industry

2021 ◽  
Vol 26 ◽  
pp. 758-762
Author(s):  
Nashwan Dawood ◽  
Farzad Pour Rahimian
Keyword(s):  
Virtual Reality ◽  
Construction Industry ◽  
Digital Technologies ◽  
Special Issue ◽  
Building Information Modelling ◽  
Engineering Construction ◽  
Architectural Engineering ◽  
Digital Twins ◽  
Building Information ◽  
The Uk

This special issue of ITCON brought together ten papers on Construction 4.0 related topics. These papers are drawn from papers presented at the 20th International Conference on Construction Applications of Virtual Reality (CONVR 2021) held at Teesside University, Middlesbrough TS1 3JN, the UK, in October 2020. CONVR is one of the world-leading conferences in the areas of Virtual Reality, augmented reality and building information modelling. Each year, more than 100 participants from all around the globe meet to discuss and exchange the latest developments and applications of virtual technologies in the architectural, engineering, construction and operation industry (AECO). The conference is also known for having a unique blend of participants from both academia and industry. The overarching theme for CONVR2020 was "Enabling the development and implementation of Digital Twins."

scholarly journals Research to justify the perspective use of individual coordinate systems for contiguous objects modelling with the case study of Moscow Saints Petersburg railway

2021 ◽  
Vol 310 ◽  
pp. 06003
Author(s):  
Aleksei Portnov
Keyword(s):  
Railway Track ◽  
Building Information Modelling ◽  
Information Modelling ◽  
Spatial Objects ◽  
Digital Twins ◽  
Railway Infrastructure ◽  
Mercator Projection ◽  
Building Information ◽  
The Given

The science of cartography should provide a historical mission, that is navigation, and also meet modern agendas including significantly expanding opportunities for BIM technologies, integrating functions of GIS and CAD systems. In this regard, cartography should be considered a fundamental basis for modern trends while creating digital twins of spatial objects. The practical part of the provided experiments included data collecting aimed at Moscow Saints Petersburg railway infrastructure, the calculation of optimal parameters of the oblique Mercator projection in the Hotine version for the given object, and the construction of a 3D railway track model. This research investigated the principles of unique cartographic projections, strictly focused on the certain functioning objects. The research can helps many users and designers of digital twins of spatial objects pay their attention to the applied cartography specifics concerning these issues and also take into account the recommendations while creating Building Information Modelling (BIM) and Infrastructure Information Modelling (IIM) as well.

scholarly journals The Modelling of Digital Twins Technology in the Construction Process of Prefabricated Buildings

2021 ◽  
Vol 2021 ◽  
pp. 1-11
Author(s):  
Yun Zhou ◽  
Xiao Wei ◽  
Ying Peng
Keyword(s):  
Building Construction ◽  
Construction Process ◽  
Safety Hazards ◽  
Building Information Modelling ◽  
Information Modelling ◽  
Maximum Value ◽  
Digital Twins ◽  
Potential Safety ◽  
Building Information ◽  
Building Components

In the process of building construction, traditional architectural design and construction methods take a long time. The built buildings perform poorly in terms of energy usage and energy conservation. The study expects to explore the potential safety hazards of prefabricated buildings during the construction process. On this basis, a modelling study of the construction process is carried out. The study uses Digital Twins (DTs) technology and prefabricated Building Information Modelling (BIM) to conduct in-depth modelling research on the building construction process. The prefabricated building construction system oriented to DTs technology can well solve the problems of structural damage and deformation in the production, transportation, and assembly process of building components. Especially in prefabricated buildings, it can monitor and accurately predict the damage of building components that may occur in the entire system due to structural problems and material problems in real time. Regarding the building information model, the study uses third-party software to transfer the assembly information to the network cloud to further realize the display of the BIM. The study shows that the maximum value of the effective risk cases selected is 130, and its effective rate is 100%; after processing the data, it is found that the initial value is always stable, and its value is 1; the extracted value is always changing, the maximum value is 0.86, and the minimum is 0.75. By this result, the conclusion is that DTs technology and BIM can effectively monitor the indicators of risk problems during the construction of prefabricated buildings and can further reduce potential safety hazards. Through building information modelling, the development of intelligent industrialization of building construction design and the in-depth study of construction modelling has practical application value.

scholarly journals Review of the Building Information Modelling (BIM) Implementation in the Context of Building Energy Assessment

Energies ◽  
2021 ◽  
Vol 14 (24) ◽  
pp. 8487
Author(s):  
Serdar Durdyev ◽  
Gholamreza Dehdasht ◽  
Saeed Reza Mohandes ◽  
David J. Edwards
Keyword(s):  
Construction Projects ◽  
Building Energy ◽  
Energy Performance ◽  
Decision Makers ◽  
Building Information Modelling ◽  
Information Modelling ◽  
Energy Assessment ◽  
Different Types ◽  
Building Information ◽  
Keyword Searching

In recent years, many researchers across the world have addressed the implementation of Building Information Modelling (BIM) in the energy assessment of the built environment. However, several potential issues still need to be resolved in order to utilise the benefits provided by BIM to a maximum degree. To fill this gap, a systematic literature review is conducted in this study to critically investigate the utilisation of BIM tools in energy assessment. To achieve the above-mentioned objective, after shortlisting the relevant papers published hitherto, using keyword searching, a systematic review was undertaken, including the application of BIM in the contexts of different countries, types of BIM tools, BIM and Life Cycle Assessment (LCA) integration, energy affiliations, stakeholders’ involvement and their roles, uncertainty, and sensitivity analysis. The outcomes show the most widely used and effective BIM tools in different types of construction projects in various countries. The review of the literature clearly shows that BIM tools can effectively be used in the assessment of energy performance of buildings. The article gives insight to engineers, architecture, and decision makers to carefully select appropriate BIM tools in terms of energy assessment.

scholarly journals Forecasting the net costs to organisations of Building Information Modelling (BIM) implementation at different levels of development (LOD)

2019 ◽  
Vol 24 ◽  
pp. 588-603 ◽  
Author(s):  
Ying Hong ◽  
Ahmed Hammad ◽  
Ali Akbarnezhad
Keyword(s):  
Evaluation Method ◽  
Decision Makers ◽  
Building Information Modelling ◽  
Ex Ante ◽  
Need To Evaluate ◽  
Building Information ◽  
Implementation Costs ◽  
Implementation Level ◽  
Artificial Neural Network Ann ◽  
Different Levels

Numerous frameworks and tools have been proposed in the literature to assess the performance of BIM implementation in the Architecture, Engineering and Construction (AEC). However, there is yet a lack of ex-ante evaluation methods that forecast BIM implementation costs. This study aims to propose an ex-ante evaluation method to forecast the net costs of BIM implementation at different Level of Development (LOD). The proposed method is expected to assist decision makers to find the most cost-saving LOD when investing resources for implementing BIM, from an organisational perspective. The proposed method relies on an Artificial Neural Network (ANN) for each type of implementation costs and benefits. The findings suggest that decision makers need to evaluate an organisation’s competency and their implemented BIM applications when choosing the BIM implementation level of BIM. Furthermore, the results show that a higher BIM implementation level does not often secure more benefits. Over 30 features were included in the ANNs with results indicating the possibility of expanding the feature set to obtain more accurate results.

scholarly journals The Feasibility of a BIM-Driven Approach to Support Building Subdivision Workflows—Case Study of Victoria, Australia

2019 ◽  
Vol 8 (11) ◽  
pp. 499 ◽  
Author(s):  
Olfat ◽  
Atazadeh ◽  
Shojaei ◽  
Rajabifard
Keyword(s):  
Three Dimensional ◽  
Ground Surface ◽  
Urban Environments ◽  
Decision Makers ◽  
Complex Structures ◽  
Building Information Modelling ◽  
Building Information ◽  
Examination Process ◽  
Massive Development

Cities are facing dramatic challenges due to population growth and the massive development of high-rises and complex structures, both above and below the ground surface. Decision-makers require access to an efficient land and property information system, which is digital, three-dimensional (3D), spatially accurate, and dynamic containing interests in land (rights, restrictions and responsibilities—RRRs) to manage the legal and physical complexities of urban environments. However, at present, building subdivision workflows only support the two-dimensional (2D) building subdivision plans in PDF or image formats. These workflows result in a number of issues, such as the plan preparation being complex, the examination process being labor intensive and requiring technical expertise, information not being easily reusable by all subdivision stakeholders, queries, analyses, and decision-making being inefficient, and the RRRs interpretation being difficult. The aim of this research is to explore the potential of using Building Information Modelling (BIM) and its open standards to support the building subdivision workflows. The research that is presented in this paper proposes a BIM-driven building subdivision workflow, evaluated through a case study in the state of Victoria, Australia. The results of the study confirmed that the proposed workflow could provide a feasible integrated mechanism for stakeholders to share, document, visualize, analyze, interpret, and reuse 3D digital cadastral data over the lifespan of a building subdivision project.

scholarly journals PESQUISA QUALITATIVA, DIVERSIDADE METODOLÓGICA E USO DE SOFTWARE: DESAFIOS, POSSIBILIDADES E POTENCIALIDADES

2019 ◽  
Vol 12 (3) ◽  
pp. 227
Author(s):  
Victor F. A. Barros ◽  
Marcos Fernandes-Sobrinho ◽  
Adriana Dos Santos Prado Sadoyama ◽  
Paulo Alexandre De Castro
Keyword(s):  
Qualitative Research ◽  
Education Technology ◽  
Careful Analysis ◽  
Scientific Committee ◽  
Special Issue ◽  
Double Blind ◽  
Blind Review ◽  
Highly Active ◽  
Good Reading ◽  
Future Work

This special issue of the Brazilian Journal of Education, Technology and Society (BRAJETS), in partnership with the 7th Ibero-American Congress on Qualitative Research (CIAIQ2018), focuses on “Qualitative Research, methodological diversity and use of software: challenges, possibilities and potentialities” that permeates the content of the seven articles in the extended versions of selected papers and invited by the CIAIQ2018 scientific committee/organizer, to compose this special issue. The partnership between CIAIQ and BRAJETS seeks to promote and disseminate qualitative research to the scientific community in the target areas of the Journal: education, technology, medicine, society and the internationalization of postgraduate programs. In order to provide quality and representativeness of the articles published in this journal, we made sure that they all go through a double-blind review process, through a careful analysis of a scientific committee composed of experienced, qualified and highly active researchers in their respective areas of expertise. In view of the above, we invite all to enjoy a good reading of this special issue, and that it can contribute with inspirations and ideas for the writing and execution; whether of research or future work.

Behavioural Intention to Use Building Information Modelling (BIM) among Community College Students in Malaysia

2020 ◽  
Vol 8 (1) ◽  
pp. 4-17
Author(s):  
Nor Akmal Mohamad ◽  
Madihah Khalid
Keyword(s):  
College Students ◽  
Community College ◽  
Community College Students ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Behavioural Intention ◽  
Intention To Use ◽  
Building Information Modelling ◽  
Information Modelling ◽  
Building Information

Building information modelling (BIM) is one of the new technologies being used in architectural and constructions projects. At present, BIM curricula are being taught in many Malaysian higher learning institutions, including at the certificate level in community colleges. Even though many studies have investigated behavioural intention to adopt BIM in the industrial setting, studies on the intention to use BIM among students during their training or learning have not received the same level of attention. This study, therefore, investigated the extent to which community college students are willing to accept and use BIM. Factors that influenced their behavioural intention to use BIM, as well as the relationship between the factors and intention to use were also examined. The Technology Acceptance Model (TAM) was used as the theoretical framework to guide the research, where students’ behavioural intention to use BIM was explained through their perceptions of its usefulness and ease of use, as well as their attitude towards BIM utilization in the classroom. A total of 144 community college students enrolled in the architecture programmes in Malaysia were selected as the sample using convenience sampling. The findings show that the students’ behavioural intention to adopt BIM is high. They also perceive BIM as useful and easy to use, and their attitude towards BIM usage appears to be positive. The regression model produced an adjusted R-squared value of 0.790 indicating that 79% of the total variance in the students’ intention to use BIM can be explained by the three independent variables, i.e., perceived usefulness, ease of use, and attitude. Keywords: Building information modelling, perceived usefulness, perceived ease of use, attitude, intention to use, behavioural intention, Technology Acceptance Model

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