Detection and Safety Assessment of Large Stadium Structures Based on Millimeter-Wave Radar

Large stadiums commonly employ long-span spatial steel roof systems and require efficient non-contact monitoring. This study presents a millimeter-wave-radar-based detection and safety assessment method for a large in-service stadium roof. Ambient vibration tests were conducted on a representative steel truss using millimeter-wave radar and co-located accelerometers, and the modal frequencies and mode shapes were identified using peak picking and stochastic subspace identification. An undamaged finite-element model was established to interpret the measured modal information and simulate local stiffness-reduction scenarios. The first four vertical frequencies identified by radar were 3.32, 7.03, 10.35, and 13.18 Hz, compared with 3.32, 7.03, 10.35, and 13.48 Hz obtained from the accelerometers. The first three frequencies were identical at the reported precision, and the fourth-frequency difference was approximately 2.2%. Numerical results showed that the modal-curvature-based Safety Indicator was sensitive to local stiffness degradation and could indicate approximate abnormal regions. No pronounced localized modal anomaly was observed in the field-tested truss, consistent with the on-site inspection. The study demonstrates an integrated workflow combining non-contact radar measurement, operational modal identification, finite-element-supported interpretation, and preliminary condition assessment for large stadium roofs.

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Publication Details

Journal
Applied Sciences
Published
2026-08-14
DOI
https://doi.org/10.3390/app16168109
Primary Topic
Structural Health Monitoring Techniques
Type
article
Field-Weighted Citation Impact
0.00

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article

Detection and Safety Assessment of Large Stadium Structures Based on Millimeter-Wave Radar

Yue Liu, Nan Jin, Fang Dong, Qingrui Yue et al.
Applied Sciences
Structural Health Monitoring Techniques
article

Detection and Safety Assessment of Large Stadium Structures Based on Millimeter-Wave Radar

Yue Liu, Nan Jin, Fang Dong, Qingrui Yue, Rumian Zhong
article en

Abstract

Large stadiums commonly employ long-span spatial steel roof systems and require efficient non-contact monitoring. This study presents a millimeter-wave-radar-based detection and safety assessment method for a large in-service stadium roof. Ambient vibration tests were conducted on a representative steel truss using millimeter-wave radar and co-located accelerometers, and the modal frequencies and mode shapes were identified using peak picking and stochastic subspace identification. An undamaged finite-element model was established to interpret the measured modal information and simulate local stiffness-reduction scenarios. The first four vertical frequencies identified by radar were 3.32, 7.03, 10.35, and 13.18 Hz, compared with 3.32, 7.03, 10.35, and 13.48 Hz obtained from the accelerometers. The first three frequencies were identical at the reported precision, and the fourth-frequency difference was approximately 2.2%. Numerical results showed that the modal-curvature-based Safety Indicator was sensitive to local stiffness degradation and could indicate approximate abnormal regions. No pronounced localized modal anomaly was observed in the field-tested truss, consistent with the on-site inspection. The study demonstrates an integrated workflow combining non-contact radar measurement, operational modal identification, finite-element-supported interpretation, and preliminary condition assessment for large stadium roofs.

Applied SciencesVol. 16(16)
Shenzhen Institute of Information Technology (CN), Shenzhen University (CN), Beijing University of Technology (CN), Urban Planning & Design Institute of Shenzhen (China) (CN), Shenzhen Technology University (CN), Beijing University of Civil Engineering and Architecture (CN), University of Science and Technology Beijing (CN)
Department of Education of Guangdong Province
Sustainable cities and communities
Openalex Percentile: Top 15%
Structural Health Monitoring Techniques
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