Assessment of Wind-Induced Fatigue Life of Mast Structures Under Incomplete Image Data Conditions

SHI Zhongqi; WANG Gang; JIN Nan; CHEN Zhenming; ZHAO Xiaoqing

doi:10.3724/j.gyjzG25021905

Volume 56 Issue 1

Jan. 2026

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SHI Zhongqi, WANG Gang, JIN Nan, CHEN Zhenming, ZHAO Xiaoqing. Assessment of Wind-Induced Fatigue Life of Mast Structures Under Incomplete Image Data Conditions[J]. INDUSTRIAL CONSTRUCTION, 2026, 56(1): 144-150. doi: 10.3724/j.gyjzG25021905

Citation:

SHI Zhongqi, WANG Gang, JIN Nan, CHEN Zhenming, ZHAO Xiaoqing. Assessment of Wind-Induced Fatigue Life of Mast Structures Under Incomplete Image Data Conditions[J]. INDUSTRIAL CONSTRUCTION, 2026, 56(1): 144-150. doi: 10.3724/j.gyjzG25021905

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Assessment of Wind-Induced Fatigue Life of Mast Structures Under Incomplete Image Data Conditions

doi: 10.3724/j.gyjzG25021905

1. Shenzhen Key Laboratory of Urban Disasters Digital Twin, Shenzhen Urban Public Safety and Technology Institute Co., Ltd., Shenzhen 518102, China;
2. China Construction Steel Structure Corp., Ltd., Shenzhen 518118, China;
3. Research Institute of Urbanization and Urban Safety, School of Future Urban Studies, University of Science and Technology Beijing, Beijing 100083, China

Received Date: 2025-02-19
Available Online: 2026-02-26
Publish Date: 2026-01-22

Abstract

Abstract

Masts are frequently positioned on the top of super high-rise structures to provide lightning protection， collision prevention， and enhanced architectural aesthetics and height. Being highly sensitive to wind， these structures are susceptible to fatigue-induced damage due to wind-induced vibrations. In May 2021， an abnormal vibration incident at a building in Shenzhen attracted significant global attention. Determining the cause of fatigue damage in the mast became one of the key challenges in tracing the source of this incident.However，due to a lack of comprehensive wind field historical data， the load-structure response analysis method could not be directly applied to address the wind-induced fatigue issue of masts. In practice， one or two cameras are typically installed on the top of super high-rise buildings to monitor the service status of masts， offering foundational data for fatigue life assessment based on image information. However， due to variations in site conditions， the image data regarding the masts’ service status often exhibit spatiotemporal incompleteness， complicating the direct acquisition of historical wind vibration data through image analysis. For this purpose， this study introduced a method for the inverse analysis of the wind-induced vibration history of mast structures using incomplete image data. By examining the temporal and frequency domain characteristics of the limited image data， conducting damage assessments at key joints， and analyzing the natural vibration properties of the mast structure， the probability distribution of stress states in fatigue-sensitive joints was derived. This was complemented by a stochastic sampling algorithm to achieve a fatigue reliability evaluation of such structures. Experimental results indicated that the assessment outcomes of this method were highly consistent.
- image data,
- incompleteness,
- mast,
- wind-induced fatigue damage,
- life assessment

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References(25)

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