TY - JOUR
T1 - Computationally efficient change analysis of piece-wise cylindrical building elements for proactive project control
AU - Kalasapudi, Vamsi Sai
AU - Tang, Pingbo
AU - Turkan, Yelda
N1 - Funding Information:
This material is based upon work supported by the National Science Foundation (NSF) under Grant No. 1443069 and Grant No. 1454654. NSF's support is gratefully acknowledged. The authors would like to thank Firas Shalabi and Duong (Ocean) Van from Iowa State University for their help with the laser scanning data collection. Ben Bunge from the Weitz Company and Bob Darling from the Baker Group provided the research group with data and shared their expertise and practical experiences. Any opinions, findings, conclusions, or recommendations expressed in this paper are those of the authors and do not necessarily reflect the views of NSF, Arizona State University, Iowa State University, Oregon State University, the Weitz Company or the Baker Group. Finally, the authors would like to acknowledge the graduate students enrolled in Arizona State University CON 591: Seminar course in Spring 2016 semester for reviewing this paper and providing their valuable feedback.
Publisher Copyright:
© 2017 Elsevier B.V.
PY - 2017/9
Y1 - 2017/9
N2 - The designs of large-scale building systems, such as Mechanical, Electrical, and Plumbing (MEP) systems, undergo spatial changes during design-construction coordination, and as a result, their as-built conditions deviate, in some cases significantly, from their as-designed conditions. Construction engineers need to detect and analyze the differences between as-designed and as-built conditions of building systems promptly for responsive change management. Existing data-model comparison approaches either cannot correctly detect changed objects packed in small spaces, or cannot handle the computational complexity of comparing detailed as-designed and as-built geometries of MEP systems that contain hundreds or even thousands of elements (e.g., ducts). This paper presents a computationally efficient spatial-change-detection approach that reliably compares as-designed Building Information Models (BIMs) and 3D as-built models derived from laser scan data. It integrates nearest neighbor searching and relational graph based matching approaches to achieve computationally efficient change detection and management. A case study using data collected from a campus building was conducted to compare the new change detection approach proposed in this paper against the state-of-the-art change detection techniques. The results indicate that the proposed approach is capable of making more precise data-model comparisons in a computationally efficient manner compared to existing data-model comparison techniques.
AB - The designs of large-scale building systems, such as Mechanical, Electrical, and Plumbing (MEP) systems, undergo spatial changes during design-construction coordination, and as a result, their as-built conditions deviate, in some cases significantly, from their as-designed conditions. Construction engineers need to detect and analyze the differences between as-designed and as-built conditions of building systems promptly for responsive change management. Existing data-model comparison approaches either cannot correctly detect changed objects packed in small spaces, or cannot handle the computational complexity of comparing detailed as-designed and as-built geometries of MEP systems that contain hundreds or even thousands of elements (e.g., ducts). This paper presents a computationally efficient spatial-change-detection approach that reliably compares as-designed Building Information Models (BIMs) and 3D as-built models derived from laser scan data. It integrates nearest neighbor searching and relational graph based matching approaches to achieve computationally efficient change detection and management. A case study using data collected from a campus building was conducted to compare the new change detection approach proposed in this paper against the state-of-the-art change detection techniques. The results indicate that the proposed approach is capable of making more precise data-model comparisons in a computationally efficient manner compared to existing data-model comparison techniques.
KW - 3D laser scanning
KW - BIM
KW - Design changes
KW - MEP systems
KW - Project control
UR - http://www.scopus.com/inward/record.url?scp=85018340031&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85018340031&partnerID=8YFLogxK
U2 - 10.1016/j.autcon.2017.04.001
DO - 10.1016/j.autcon.2017.04.001
M3 - Article
AN - SCOPUS:85018340031
VL - 81
SP - 300
EP - 312
JO - Automation in Construction
JF - Automation in Construction
SN - 0926-5805
ER -