Automated 3D compliance checking in pipe spool fabrication

Nahangi, Mohammad; Haas, Carl T.

doi:10.1016/j.aei.2014.04.001

Cited by 72 publications

(35 citation statements)

References 39 publications

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“…Furthermore, it may be difficult to track and record changes based on conscious decisions that are made during construction. It can even be more difficult to adequately track and record deviations that are more subtle and not emanating from conscious decisions (e.g., deviations due to poor workmanship) (Nahangi and Haas 2014). Most of the research efforts in the field of project control still focus on the development of cost control models where the earned value concept has proven to be the most reliable tool for tracking and control of construction projects (Xiong et al 2013).…”

Section: Challenges With Progress Tracking and Technology Gapsmentioning

confidence: 99%

Automated Data Collection for Progress Tracking Purposes: A Review of Related Techniques

Touzani

Nehdi

2017

Facing the Challenges in Structural Engineering

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Abstract. The automated data collection of civil infrastructure projects, whether under construction, newly put into service, or in operation has been receiving increased attention by researchers and practitioners. Such real-time progress tracking is essential for the active monitoring of production during the construction phase of a project and for the built assets during their service lives. Automatic progress tracking can result in timely detection of potential time delays and construction discrepancies and directly supports project control decision-making. This paper outlines recent research efforts in this field and technological developments that aim to facilitate project management toward achieving project objectives. 3D imaging, geo-spatial, enhanced IT, and augmented reality technologies have recently achieved significant advances in this field. These technologies are discussed and compared herein in terms of their strengths and limitations to identify various trends concerning their applicability in data acquisition for construction projects and to formulate recommendations for their suitability in different projects. Prospects for improvement and challenges that can be expected in future research and development are considered. It is hoped that this discussion will assist construction stakeholders in choosing appropriate data collection tools, and motivate further research and development to assist in delivering projects on time and within budget.

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Section: Challenges With Progress Tracking and Technology Gapsmentioning

confidence: 99%

Automated Data Collection for Progress Tracking Purposes: A Review of Related Techniques

Touzani

Nehdi

2017

Facing the Challenges in Structural Engineering

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“…While existing methods for analysis, detection and control of dimensional variability in the construction industry can utilize proactive 3D analysis techniques such as spatial change analysis [11] or automated compliance checking [12], the majority of variation control techniques during construction are still performed reactively (i.e., problems related to dimensional variability are only solved once they have occurred). This often creates a grey area during a project when variations in the field create installation challenges for specific contractors because the assumption of risk for out-oftolerance occurrences is not well defined.…”

Section: Existing Approaches For Dimensional Control In Constructionmentioning

confidence: 99%

Dimensional Variability Analysis of Construction Assemblies Using Kinematics Chains and Building Information Models

Nahangi¹,

Haas²,

Rausch³

et al. 2017

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

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Design optimization frameworks used in manufacturing can be adopted into construction to solve complex and relatively unsolved challenges, as recent construction methods progressively incorporate more manufacturing aspects. For example, the specification and dimensional control for compliance checking of construction components can be solved using tools existing in manufacturing. Even though building information models (BIM) assist with clash detection for identifying potential dimensional problems, dimensional variability remains a complex challenge to address in construction. This paper explores the use of a dimensional variation analysis (DVA), which is originally developed in the manufacturing industry as a design optimization tool. This paper presents a DVA approach which is based on kinematics theory in robotics to define the assembly equation (how various parts of a component are related to each other mathematically). A design-model based DVA is validated using a case study. Results show that the method is capable of determining variability between the designed and fabricated states with a reasonable level of accuracy.

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“…Hence, it is not a sufficient practice to consider these steps independently, especially when using them to measure variations that require a high level of accuracy. Moreover, most of the existing research works in this realm of research are about the assessment of surface flatness, whereas the capability of existing commercially available software for deviation analyses can also be used to assess other types of geometric variations (Nahangi and Haas 2014). Here the question arises: What method of deviation analysis is most suitable for each type of tolerances?…”

Section: Introductionmentioning

confidence: 99%

Tolerance Compliance Measurement Using Terrestrial Laser Scanner

Talebi¹,

Koskela²,

Tzortzopoulos³

2018

26th Annual Conference of the International Group for Lean Construction

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Terrestrial laser scanning (TLS) provides remote sensing and a quick and comprehensive technique for deviation analyses. Its application for precision surveying purposes is becoming a common practice. There are many interdependent parameters that determine whether the accuracy obtained during the data collection and registration is appropriate to perform deviation analyses. Also, the accuracy of deviation analyses is reflected on visualisation/demonstration of results. However, the focus of previous research works has often been on either data acquisition, data registration, deviation analyses, or visualisation of results. The research described in this paper consolidates and formalises the existing methods in the literature and practice for data acquisition and data processing. In doing so, the aim is to develop a holistic method termed Tolerance Compliance Measurement (TCM) using TLS to obtain results from deviation analyses with the desired accuracy. Moreover, unlike the previous research works that mainly focus on assessment of flatness of surfaces, the appropriateness of the most common algorithms for assessment of different types of geometric variation is explored. The results show that the application of TLS and commercially available software are versatile although not complete for analyses of different types of geometric variation.

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Automated 3D compliance checking in pipe spool fabrication

Cited by 72 publications

References 39 publications

Automated Data Collection for Progress Tracking Purposes: A Review of Related Techniques

Automated Data Collection for Progress Tracking Purposes: A Review of Related Techniques

Dimensional Variability Analysis of Construction Assemblies Using Kinematics Chains and Building Information Models

Tolerance Compliance Measurement Using Terrestrial Laser Scanner

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