3D laser scanning for automated structural modeling and deviation monitoring of multi-section prefabricated cable domes

Abstract

This paper presents a multi-member automatic structural modeling (MASM) method for high-thrust deviation monitoring of prefabricated cable domes. Point cloud data generated by three-dimensional (3D) laser scanning were segmented into structural modules to effectively reduce the method's computational complexity. A multimember central shrinkage algorithm was developed for skeleton-point recognition. Subsequently, skeleton members were detected with sequentially identified joints, and the structural model of the cable dome was built. The MASM method was validated with respect to its 1) accuracy, ensuring a satisfactory signal-to-noise ratio, and 2) efficiency, ensuring competitive runtime. The use case of the cable-dome deviation monitoring was studied in detail. The proposed MASM method systematically evaluates prefabricated cable domes with multi-section members. This study enables high-fidelity analysis using a structural digital twin for predicting future structural performance.

Original language	English
Article number	105573
Journal	Automation in Construction
Volume	165
Early online date	22 Jun 2024
DOIs	https://doi.org/10.1016/j.autcon.2024.105573
Publication status	E-pub ahead of print - 22 Jun 2024

Keywords

automatic structural modeling
cable dome structure
deviation monitoring
3D laser scanning
structural digital twin

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10.1016/j.autcon.2024.105573

AAMAccepted author manuscript, 2.44 MBLicence: CC BY

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title = "3D laser scanning for automated structural modeling and deviation monitoring of multi-section prefabricated cable domes",

abstract = "This paper presents a multi-member automatic structural modeling (MASM) method for high-thrust deviation monitoring of prefabricated cable domes. Point cloud data generated by three-dimensional (3D) laser scanning were segmented into structural modules to effectively reduce the method's computational complexity. A multimember central shrinkage algorithm was developed for skeleton-point recognition. Subsequently, skeleton members were detected with sequentially identified joints, and the structural model of the cable dome was built. The MASM method was validated with respect to its 1) accuracy, ensuring a satisfactory signal-to-noise ratio, and 2) efficiency, ensuring competitive runtime. The use case of the cable-dome deviation monitoring was studied in detail. The proposed MASM method systematically evaluates prefabricated cable domes with multi-section members. This study enables high-fidelity analysis using a structural digital twin for predicting future structural performance.",

keywords = "automatic structural modeling, cable dome structure, deviation monitoring, 3D laser scanning, structural digital twin",

author = "Ailin Zhang and Hao Ma and Xi Zhao and Yanxia Zhang and Jie Wang and Meini Su",

year = "2024",

month = jun,

day = "22",

doi = "10.1016/j.autcon.2024.105573",

language = "English",

volume = "165",

journal = "Automation in Construction",

issn = "0926-5805",

publisher = "Elsevier BV",

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TY - JOUR

T1 - 3D laser scanning for automated structural modeling and deviation monitoring of multi-section prefabricated cable domes

AU - Zhang, Ailin

AU - Ma, Hao

AU - Zhao, Xi

AU - Zhang, Yanxia

AU - Wang, Jie

AU - Su, Meini

PY - 2024/6/22

Y1 - 2024/6/22

N2 - This paper presents a multi-member automatic structural modeling (MASM) method for high-thrust deviation monitoring of prefabricated cable domes. Point cloud data generated by three-dimensional (3D) laser scanning were segmented into structural modules to effectively reduce the method's computational complexity. A multimember central shrinkage algorithm was developed for skeleton-point recognition. Subsequently, skeleton members were detected with sequentially identified joints, and the structural model of the cable dome was built. The MASM method was validated with respect to its 1) accuracy, ensuring a satisfactory signal-to-noise ratio, and 2) efficiency, ensuring competitive runtime. The use case of the cable-dome deviation monitoring was studied in detail. The proposed MASM method systematically evaluates prefabricated cable domes with multi-section members. This study enables high-fidelity analysis using a structural digital twin for predicting future structural performance.

AB - This paper presents a multi-member automatic structural modeling (MASM) method for high-thrust deviation monitoring of prefabricated cable domes. Point cloud data generated by three-dimensional (3D) laser scanning were segmented into structural modules to effectively reduce the method's computational complexity. A multimember central shrinkage algorithm was developed for skeleton-point recognition. Subsequently, skeleton members were detected with sequentially identified joints, and the structural model of the cable dome was built. The MASM method was validated with respect to its 1) accuracy, ensuring a satisfactory signal-to-noise ratio, and 2) efficiency, ensuring competitive runtime. The use case of the cable-dome deviation monitoring was studied in detail. The proposed MASM method systematically evaluates prefabricated cable domes with multi-section members. This study enables high-fidelity analysis using a structural digital twin for predicting future structural performance.

KW - automatic structural modeling

KW - cable dome structure

KW - deviation monitoring

KW - 3D laser scanning

KW - structural digital twin

U2 - 10.1016/j.autcon.2024.105573

DO - 10.1016/j.autcon.2024.105573

M3 - Article

SN - 0926-5805

VL - 165

JO - Automation in Construction

JF - Automation in Construction

M1 - 105573

ER -

Abstract

Keywords

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