Towards the automated virtual trial assembly of large and complex steel members using terrestrial laser scanning and BIM

Liu, Jiepeng; Cui, Na; Cheng, Guozhong; Li, Dongsheng; Ma, Xiaoteng; Liao, Yanling

doi:10.1016/j.engstruct.2023.116448

Cited by 4 publications

(2 citation statements)

References 27 publications

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“…With the rapid development of various information technologies, the integration and application of information technology has become a new trend. At present, a variety of information technologies are applied in the field of engineering construction, such as BIM + 3D laser scanning [20], BIM + VR [21], BIM + GIS [22], AI + IoT [23], and so on.…”

Section: Literature Reviewmentioning

confidence: 99%

Digital Twin Model and Its Establishment Method for Steel Structure Construction Processes

Liu,

Lin

2024

Buildings

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At present, the informatization level in the construction process of steel structures is relatively low. Meanwhile, digital twin technology, with better interactive features, provides a new development direction for the intelligent construction of steel structures. Therefore, this paper introduces the concept of a digital twin into the steel structure construction process, analyzes the connotation and characteristics of the digital twin model, and proposes the digital twin model architecture for steel structure construction processes. Furthermore, a method for establishing a digital twin model for steel structure construction processes is presented, which includes three stages: the acquisition and transmission of physical space data, the construction of a digital twin virtual model, and information exchange in the digital twin model. Based on these concepts, this paper describes a digital twin system architecture for the steel structure construction process from the perspective of data flow in the digital twin model. Finally, with the application of information technology in the steel structure construction process of the university park library project in Xiongan New Area and the reconstruction and expansion project of the Nanchong Gaoping airport, the digital twin model and its establishment method methods are analyzed practically and demonstrated effectively in this study.

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Section: Literature Reviewmentioning

confidence: 99%

Digital Twin Model and Its Establishment Method for Steel Structure Construction Processes

Liu,

Lin

2024

Buildings

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“…Although innovative techniques such as 3D laser scanning (J. Liu et al, 2023;Tzortzinis et al, 2022), dynamic Bayesian networks (DBNs) (Zhu et al, 2019), and Bayesian updating methods combined with Markov chain Monte Carlo (MCMC) techniques (M.-C. Chen et al, 2019) have been introduced for quality inspection and crack prediction; they predominantly focus on postproduction evaluations and monitoring, overlooking risk prevention and control during the production phase. This oversight underscores the urgent need for systematic identification, assessment, and management of quality risks in the production of prefabricated steel structural components, which is crucial for enhancing quality management and ensuring safety in construction and engineering projects.…”

Section: Literature Reviewmentioning

confidence: 99%

Quality Risk Assessment of Prefabricated Steel Structural Components during Production Using Fuzzy Bayesian Networks: A Case Study in China

Zhong,

Peng

2024

Preprint

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This study aims to address quality issues in the production of prefabricated steel structural components for buildings by investigating challenges in quality risk assessment. It identifies key factors contributing to quality problems and establishes an evaluation index system. Traditional methods encounter limitations in handling uncertainty and conducting quantitative analysis. Therefore, the fuzzy Bayesian network (FBN) theory is utilized to perform probabilistic analysis on quality risks during the production phase. This research achieves a more accurate and dynamic risk assessment by integrating the strengths of fuzzy logic and Bayesian networks (BNs) and by utilizing expert knowledge, the similarity aggregation method (SAM), and the noisy-OR gate model. The study reveals that factors such as the "low professional level of designers," "poor production refinement," and "poor storage conditions for finished products" have a significant impact on quality risks. This research offers a novel risk assessment tool for steel structural component production, effectively assisting enterprises in identifying potential risks, formulating risk reduction strategies, and enhancing production quality.

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A BIM-based semantic approach for fund-allocation of building components

Mohamed,

Marzouk

2023

Architectural Engineering and Design Management

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Towards the automated virtual trial assembly of large and complex steel members using terrestrial laser scanning and BIM

Cited by 4 publications

References 27 publications

Digital Twin Model and Its Establishment Method for Steel Structure Construction Processes

Digital Twin Model and Its Establishment Method for Steel Structure Construction Processes

Quality Risk Assessment of Prefabricated Steel Structural Components during Production Using Fuzzy Bayesian Networks: A Case Study in China

A BIM-based semantic approach for fund-allocation of building components

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