Adaptive 3D Imaging and Tolerance Analysis of Prefabricated Components for Accelerated Construction

Kalasapudi, Vamsi Sai; Tang, Pingbo; Zhang, Chengyi; Diosdado, Jose; Ganapathy, Ram

doi:10.1016/j.proeng.2015.08.549

Cited by 13 publications

(10 citation statements)

References 10 publications

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“…In this paper, it is assumed that engineering rework in modular projects occurs when information from participants is omitted in the design phase. To identify such information, many works were reviewed, focusing on modular construction planning [12,13,24,36,[39][40][41][51][52][53][54][55][56]. However, rework is also performed to rectify defects after the design phase, such as the unit production, transportation, or onsite work phases.…”

Section: Causes Of Rework In Modular Constructionsmentioning

confidence: 99%

“…Interference between MEP and structural components [19,24,54] Fireproof paint application to connection [24], daily report Rework caused by error of activity order on manufacturing line [19,24], daily report Excess manufacturing tolerance [36] Quality deterioration in manufacturing process [24,36] Transportation Damage and deformation in transportation [19,24,55] Revision of design caused by omission of reviewing Road Traffic Act in the design process [12,13,24] Onsite work…”

Section: Manufacturingmentioning

confidence: 99%

“…Interference between MEP and structural components, such as concrete foundations [19,24,54], daily report Damage to unit caused by onsite work interference [24,[39][40][41]51,52] Shortage of passage space for workers in PIT [24], daily report Occurrence of component tolerance errors [24,56], daily report Occurrence of tolerance error in MEP [24,54], daily report Unit deformation caused by unit lifting [12,24] Damage caused by weather conditions on un-proofed components [24], daily report…”

Section: Manufacturingmentioning

confidence: 99%

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Integrated Design Process for Modular Construction Projects to Reduce Rework

et al. 2020

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In modular construction projects, unit production and onsite work are conducted concurrently, enabling shorter duration, lower cost, and improved quality. Because of the nature of the work, building design details should be determined early in the design phase, which requires information from participants. However, the design process for stick-built construction does not include such information, which leads to errors in design, such as omissions and conflicts of information from participants, causing reworking in the design phase. To reduce errors, an information flow should be identified representing when/what/how the information should be shared, and with whom. This paper proposes an integrated design process based on the information flow. To identify the flow, a precedence relationship between activities is represented using a dependency structure matrix (DSM). Then, the order of activities is rearranged using a partitioning algorithm. In this manner, unnecessary feedback and reverse information flow, which are related to errors, are reduced. Finally, the rearranged activities are proposed as an integrated design process. To validate the impact of the proposed process and methodology, interviews with experts were conducted. The validation results suggest that the project delivery method should also be considered in the early project phase in practical application.

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Section: Causes Of Rework In Modular Constructionsmentioning

confidence: 99%

Section: Manufacturingmentioning

confidence: 99%

Section: Manufacturingmentioning

confidence: 99%

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Integrated Design Process for Modular Construction Projects to Reduce Rework

et al. 2020

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“…Also working on point cloud data but from a different perspective, Voegtle and Steinle (2003) designed a method to detect segments and extract objects inside these segments based on a special region growing algorithm. LIDAR data has been widely used in the civil engineering domain for capturing as-built projects (Wang and Cho 2014), prefabricated components (Kalasapudi et al 2015), construction equipment and assets (Chen et al 2016;Fang et al 2016), and surveying results (Tang and Akinci 2012 proposed a hierarchical matching pursuit (HMP) method for RGB-D data object classification, which uses an unsupervised learning technique with sparse coding to generate hierarchical feature representations for classifying household objects.…”

Section: Object Classificationmentioning

confidence: 99%

New Automated BIM Object Classification Method to Support BIM Interoperability

Zhang

2019

J. Comput. Civ. Eng.

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Industry foundation classes (IFC) is widely accepted as the future of building information modeling (BIM) to take on the challenge of BIM interoperability and enables its support of various automation tasks. However, it is not uncommon to see misuses of IFC entities during the creation of BIM. Such misuses prevent a successful automation of BIM-supported tasks because misclassification of objects in BIM can lead to significant negative consequences in downstream applications due to incorrect semantic information provided. To address this problem, the authors propose a new data-driven, iterative method that can be used to develop an algorithm to automatically classify each object in an IFC model into predefined categories. The algorithm consists of multiple sub-algorithms with each sub-algorithm depicting a pattern matching rule that uses inherent features of the geometric representation of an architecture, engineering, and construction (AEC) object. The method was tested in an experiment where IFC models from three different sources were collected and 1,891 AEC objects were extracted and divided into training and testing data for use. By comparing the classification results of the algorithm developed based on training data and applied to testing data with a manually developed gold standard, 84.45% recall and 85.20% precision were achieved in common building element categories, 100% recall and 2 precision were achieved in detailed beam categories. The sources of errors were found to be: (1) different objects sharing the same geometric shape; and (2) uncovered geometric shape representation in the training data. By adding locational information into consideration in addition to geometric information and making sure training data covers all geometric shape representations, 100% precision and recall can be achieved for all categories.

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“…The construction industry is often faced with the challenge of having elements or modules on the construction site that do not have precise dimensions or sufficient tolerance for assembling them, requiring on-site modifications and complicating the assembly process. Matching issues with prefabricated components are due to the inability to maintain tight tolerances, introducing errors that propagate during construction that could risk the integrity of the structure [38,39]. AM brings the benefit of producing components with precise dimensions based on the design drawings, th International Symposium on Automation and Robotics in Construction (ISARC 2017) important for modular construction, and at the same time the ability to match tolerances in real time by printing customized connectors or infill as needed on-site.…”

Section: Tolerance Matching/correctingmentioning

confidence: 99%

Applications of Additive Manufacturing in the Construction Industry A Prospective Review

Camacho

Clayton

O’Brien

et al. 2017

Proceedings of the International Symposium on Automation and Robotics in Construction (IAARC)

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Additive manufacturing (AM), also known as 3D printing, produces components by building-up structures from small deposits of materials. Many of the early applications of AM technologies have been in the aerospace, automotive, and healthcare industries. Building on the advances in AM in these industries, there are several experimental applications of AM in the construction sector. Early investigations suggest that use of AM technologies for construction have the potential to decrease labour costs, reduce material waste, and create customized complex geometries that are difficult to achieve using conventional construction techniques. However, these initial investigations do not cover the full range of potential applications for construction or exploit the rapidly maturing AM technologies for a variety of material types. This paper provides an up-to-date review of AM as it relates to the construction industry, identifies the trend of AM processes and materials being used, discusses related methods of implementing AM, and potential advancements in applications of AM. Examples of potential advancements in methods and applications include multi-material use (e.g., use of high-performance materials only in areas where they are needed), in-situ repair in locations that are difficult or dangerous for humans to access, disaster relief construction in areas with limited construction workforce and material resources, structural and non-structural elements with optimized topologies, and customized parts of high value. AM's future in the construction industry is promising, but interdisciplinary research is still needed to provide new materials, new processes, faster printing, quality assurance, and data on mechanical properties before AM can realize its full potential in infrastructure construction.

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Adaptive 3D Imaging and Tolerance Analysis of Prefabricated Components for Accelerated Construction

Cited by 13 publications

References 10 publications

Integrated Design Process for Modular Construction Projects to Reduce Rework

Integrated Design Process for Modular Construction Projects to Reduce Rework

New Automated BIM Object Classification Method to Support BIM Interoperability

Applications of Additive Manufacturing in the Construction Industry A Prospective Review

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Adaptive 3D Imaging and Tolerance Analysis of Prefabricated Components for Accelerated Construction

Cited by 13 publications

References 10 publications

Integrated Design Process for Modular Construction Projects to Reduce Rework

Integrated Design Process for Modular Construction Projects to Reduce Rework

New Automated BIM Object Classification Method to Support BIM Interoperability

Applications of Additive Manufacturing in the Construction Industry  A Prospective Review

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Product

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Applications of Additive Manufacturing in the Construction Industry A Prospective Review