scholarly journals Application of BIM technologies in construction in Russia

2019 ◽  
Vol 110 ◽  
pp. 02148 ◽  
Author(s):  
Tatiana Kisel
Keyword(s):  
Data Transmission ◽  
Building Information Modeling ◽  
Information Modeling ◽  
Project Implementation ◽  
High Quality ◽  
Information Reduction ◽  
Exchange Of Information ◽  
Project Documentation ◽  
Building Information

The objective of the research is to define the level of the use of BIM technologies (Building Information Modeling, or information modeling of buildings and structures) by the Russian companies. The identification of the reasons of BIM introduction or its refusal was also carried out. The advantages given by the use of BIM were revealed. It was proved that the BIM technologies promote the reduction of terms of the project implementation, the general upgrading of the project documentation and the construction-and-installation works performed on its basis, as well as the reduction of the project cost. The results of the research proved that 22% of the Russian enterprises of the investment-and-structural sphere use BIM during various stages of introduction. The application of BIM allows getting some advantages, including the improved understanding of the project by all the participants, high quality of the project, availability of information, fast data transmission and exchange of information, reduction of terms of design and/or construction. The results of the research can be useful for the numerous participants of the investment-and-structural sphere, who have individual, sometimes contradictory interests.

BIM-Based Quality Control for Safety Issues in the Design and Construction Phases

2015 ◽  
Vol 9 (3) ◽  
pp. 111 ◽  
Author(s):  
Seunghwa Park ◽  
Inhan Kim
Keyword(s):  
Decision Making ◽  
Traditional Method ◽  
Building Information Modeling ◽  
Safety Management ◽  
Information Modeling ◽  
Use Case ◽  
Safety Issues ◽  
Building Information ◽  
Building Safety

Today’s buildings are getting larger and more complex. As a result, the traditional method of manually checking the design of a building is no longer efficient since such a process is time-consuming and laborious. It is becoming increasingly important to establish and automate processes for checking the quality of buildings. By automatically checking whether buildings satisfy requirements, Building Information Modeling (BIM) allows for rapid decision-making and evaluation. In this context, the work presented here focuses on resolving building safety issues via a proposed BIM-based quality checking process. Through the use case studies, the efficiency and usability of the devised strategy is evaluated. This research can be beneficial in promoting the efficient use of BIM-based communication and collaboration among the project party concerned for improving safety management. In addition, the work presented here has the potential to expand research efforts in BIM-based quality checking processes.

scholarly journals Automated Geometric Quality Inspection of Prefabricated Housing Units Using BIM and LiDAR

2020 ◽  
Vol 12 (15) ◽  
pp. 2492
Author(s):  
Yi Tan ◽  
Silin Li ◽  
Qian Wang
Keyword(s):  
Building Information Modeling ◽  
Information Modeling ◽  
The Other ◽  
Light Detection And Ranging ◽  
Quality Inspection ◽  
Building Information ◽  
Geometric Quality ◽  
Mechanical Elements ◽  
Housing Units

Traditional quality inspection of prefabricated components is labor intensive, time-consuming, and error prone. This study developed an automated geometric quality inspection technique for prefabricated housing units using building information modeling (BIM) and light detection and ranging (LiDAR). The proposed technique collects the 3D laser scanned data of the prefabricated unit using a LiDAR which contains accurate as-built surface geometries of the prefabricated unit. On the other hand, the BIM model of the prefabricated unit contains the as-designed geometries of the unit. The scanned data and BIM model are then automatically processed to inspect the geometric quality of individual elements of the prefabricated units including both structural and mechanical elements, as well as electrical and plumbing (MEP) elements. To validate the proposed technique, experiments were conducted on two prefabricated bathroom units (PBUs). The inspection results showed that the proposed technique can provide accurate quality inspection results with 0.7 mm and 0.9 mm accuracy for structural and MEP elements, respectively. In addition, the experiments also showed that the proposed technique greatly improves the inspection efficiency regarding time and labor.

scholarly journals Application of Building Information Modeling (BIM) technology in the quality management of prefabricated buildings

2021 ◽  
Vol 283 ◽  
pp. 01043
Author(s):  
Cong Peng ◽  
Xing Li
Keyword(s):  
Quality Management ◽  
Building Information Modeling ◽  
Science And Technology ◽  
Critical Role ◽  
Information Modeling ◽  
Building Information ◽  
Quality Issues ◽  
Assembly Rate

Recent years, China is focus on promoting prefabricated buildings in the field of construction and increasing the assembly rate of various buildings throughout the country, and it should pay more attention to the quality issues of prefabricated construction. BIM technology is a emerging science and technology, it has the advantages to control the quality of the construction, and play the critical role in the production and construction of prefabricated buildings. The application ideas of BIM technology and put forward, which provide a reference for improving the quality of prefabricated buildings.

scholarly journals Understanding quality of analytics trade-offs in an end-to-end machine learning-based classification system for building information modeling

2021 ◽  
Vol 8 (1) ◽  
Author(s):  
Minjung Ryu ◽  
Hong-Linh Truong ◽  
Matti Kannala
Keyword(s):  
Machine Learning ◽  
Classification System ◽  
Data Science ◽  
Building Information Modeling ◽  
Information Modeling ◽  
Time Cost ◽  
Trade Offs ◽  
Building Information ◽  
End To End

AbstractOptimizing quality trade-offs in an end-to-end big data science process is challenging, as not only do we need to deal with different types of software components, but also the domain knowledge has to be incorporated along the process. This paper focuses on methods for tackling quality trade-offs in a common data science process for classifying Building Information Modeling (BIM) elements, an important task in the architecture, engineering, and construction industry. Due to the diversity and richness of building elements, machine learning (ML) techniques have been increasingly investigated for classification tasks. However, ML-based classification faces many issues, w.r.t. vast amount of data with heterogeneous data quality, diverse underlying computing configurations, and complex integration with industrial BIM tools, in an end-to-end BIM data analysis. In this paper, we develop an end-to-end ML classification system in which quality of analytics is considered as the first-class feature across different phases, from data collection, feature processing, training to ML model serving. We present our method for studying the quality of analytics trade-offs and carry out experiments with BIM data extracted from Solibri to demonstrate the automation of several tasks in the end-to-end ML classification. Our results have demonstrated that the quality of data, data extraction techniques, and computing configurations must be carefully designed when applying ML classifications for BIM in order to balance constraints of time, cost, and prediction accuracy. Our quality of analytics methods presents generic steps and considerations for dealing with such designs, given the time, cost, and accuracy trade-offs required in specific contexts. Thus, the methods could be applied to the design of end-to-end BIM classification systems using other ML techniques and cloud services.

scholarly journals Building Information Modeling: Quality of life

2016 ◽  
Vol 1 (1) ◽  
pp. 1
Author(s):  
Roshana Takim ◽  
Mohd Harris ◽  
Abdul Hadi Nawawi
Keyword(s):  
Quality Of Life ◽  
Building Information Modeling ◽  
Publishing House ◽  
Information Modeling ◽  
Construction Technology ◽  
Public And Private ◽  
Building Information ◽  
Implementation Gaps ◽  
Aec Industry

The adoption of Building Information Modeling (BIM) constitutes a paradigm shift in the architectural, engineering and construction (AEC) industry. Broader BIM adoption will transform construction processes to achieve greater efficiency to improve the quality of life (QOL) of construction stakeholders. This paper seeks to identify determinant factors and implementation gaps of BIM in the AEC industry.  A case study was conducted through a preliminary workshop organised by CIDB among the five potential stakeholders from Malaysian public and private. Finally, the workshop suggested an ‘affordable BIM concept' with ‘pay-per-use or periodical license' method to be adopted for SMEs contractors.2398-4295 © 2016. The Authors. Published for AMER ABRA by e-International Publishing House, Ltd., UK.. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). Peer–review under responsibility of AMER (Association of Malaysian Environment-Behaviour Researchers), ABRA (Association of Behavioural Researchers on Asians) and cE-Bs (Centre for Environment-Behaviour Studies), Faculty of Architecture, Planning & Surveying, Universiti Teknologi MARA, Malaysia.Keywords: Building Information Modeling (BIM); BIM influencing model; construction; technology

scholarly journals Collaborative design of prefabricated building architecture and structure based on PKPM-BIM platform

2019 ◽  
Vol 136 ◽  
pp. 01048
Author(s):  
Liu Yunlin ◽  
Zhang Shaojie ◽  
Wang Zijian ◽  
Qiu Ziwen ◽  
He Sheng
Keyword(s):  
Economic Development ◽  
Construction Industry ◽  
Collaborative Design ◽  
Building Information Modeling ◽  
Simulation Optimization ◽  
Information Modeling ◽  
Digital Information ◽  
Development Direction ◽  
Building Information

Compared with traditional cast-in-place concrete buildings, prefabricated buildings have many advantages and meet the strategic requirements of national sustainable economic development, which has become the development direction of the construction industry. BIM (Building Information Modeling) simulates the real Information of buildings through digital Information, which has the characteristics of visualization, coordination, simulation, optimization, drawing availability and so on, and improves the efficiency of multi-professional collaborative design of prefabricated buildings. This paper mainly studies the advantages of collaborative design of prefabricated buildings based on PKPM-BIM platform for architecture and structure majors. Research shows that the application of BIM can improve the efficiency and quality of multi-professional collaborative design of prefabricated buildings.

scholarly journals Building Information Modeling: Quality of life

2016 ◽  
Vol 1 (1) ◽  
pp. 1
Author(s):  
Roshana Takim ◽  
Mohd Harris ◽  
Abdul Hadi Nawawi
Keyword(s):  
Quality Of Life ◽  
Building Information Modeling ◽  
Publishing House ◽  
Information Modeling ◽  
Construction Technology ◽  
Public And Private ◽  
Building Information ◽  
Implementation Gaps ◽  
Aec Industry

The adoption of Building Information Modeling (BIM) constitutes a paradigm shift in the architectural, engineering and construction (AEC) industry. Broader BIM adoption will transform construction processes to achieve greater efficiency to improve the quality of life (QOL) of construction stakeholders. This paper seeks to identify determinant factors and implementation gaps of BIM in the AEC industry. A case study was conducted through a preliminary workshop organised by CIDB among the five potential stakeholders from Malaysian public and private. Finally, the workshop suggested an ‘affordable BIM concept' with ‘pay-per-use or periodical license' method to be adopted for SMEs contractors.2398-4295 © 2016. The Authors. Published for AMER ABRA by e-International Publishing House, Ltd., UK.. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). Peer–review under responsibility of AMER (Association of Malaysian Environment-Behaviour Researchers), ABRA (Association of Behavioural Researchers on Asians) and cE-Bs (Centre for Environment-Behaviour Studies), Faculty of Architecture, Planning & Surveying, Universiti Teknologi MARA, Malaysia.Keywords: Building Information Modeling (BIM); BIM influencing model; construction; technology

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