A novel wind resistance sliding support with large sliding displacement and high tensile strength for metal roof system

Min, Qiaoling; Li, Ning; Zhang, Yongji; Lu, Qi; Li, Xudong

doi:10.1016/j.engstruct.2021.112670

Cited by 14 publications

(6 citation statements)

References 30 publications

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“…Numerous studies have been conducted to mitigate the damage caused by strong winds in industrial buildings (Baskaran et al, 2012;Ji et al, 2022;Li & Stewart, 2011;Lu et al, 2022;Min et al, 2021;Pinelli et al, 2004;Wang et al, 2021). For instance, the wind resistance performance and failure patterns of metal-roof systems have been studied using finite element simulations.…”

Section: Introductionmentioning

confidence: 99%

“…Moreover, the 360-degree locking joint has a wind resistance performance that is 3.24 times superior to that of existing roof systems (Lu et al, 2022). In addition, sliding supports connecting purlins to metal roofs have exhibited higher wind resistance and tensile strength than conventionally designed supports (Min et al, 2021). In this study, we assessed the structural wind resistance safety of SSMRs against uplift loads caused by winds based on wind resistance tests (Choi et al, 2021).…”

Section: Introductionmentioning

confidence: 99%

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Fragility Assessment of Installation Defects in Industrial Standing Seam Metal Roof Subjected to Wind Loads

Kwon,

Choi,

et al. 2024

Journal of Civil Engineering and Management

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In industrial structures in which standing seam metal roofs (SSMRs) are commonly used, heat insulation and waterproofing have emerged as crucial requirements for the protection of internal equipment. However, in newly developed SSMRs, the structural systems have become increasingly complex. The installation of insulation layers between the upper and lower panels poses challenges during roof panel installations, resulting in defects owing to the carelessness of the installer. These clip defects can significantly affect the wind-resistance performance of the SSMR structure during testing. In this study, we employed finite element method (FEM) modeling and verification, utilizing the wind resistance test results of SSMRs. In addition, we conducted a variable analysis as well as a fragility assessment focusing on the location and number of clip defects in the SSMRs. The results of this study indicate that the wind performance of the roof was significantly degraded owing to SSMR clip defects. Moreover, the wind resistance performance can be quantitatively evaluated by considering the roof zone and the exposed environment under a wind load.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Fragility Assessment of Installation Defects in Industrial Standing Seam Metal Roof Subjected to Wind Loads

Kwon,

Choi,

et al. 2024

Journal of Civil Engineering and Management

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“…The intense solar radiation affected the structural temperature field, which metal roof systems occurred as potential safety hazards 6–8 . The shape and structure of a roof system are complex, 9 and its internal components' temperature field and thermal effect under solar radiation are more complex. Therefore, it is necessary to monitor the temperature field of large‐span roof systems, whose thermal behavior is further analyzed.…”

Section: Introductionmentioning

confidence: 99%

Experimental and simulation analysis of thermal behavior of large‐span roof system under solar radiation

Wang

Xin

et al. 2023

Structural Design Tall Build

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The large-span metal roof systems can produce a significant nonuniform temperature effect under solar radiation, leading to potential safety hazards. An experiment is conducted to study the nonuniform thermal behavior of a small-scale continuous welded stainless steel roof (CWSSR) system under solar radiation. The small-scale CWSSR system considered different roof slopes and sunward side and nightside. The efficiency of the numerical analysis of the thermal behavior of the roof slab is verified in comparison with the experimental results. Based on the numerical and experimental results, the thermal effect of a full-scale CWSSR system is studied under different orientations, wind speeds, and atmospheric temperature. Through the analysis of research results, the nonuniform thermal features of the CWSSR system are significant and cannot be overlooked. The temperature difference between the sunward side and nightside roof slab is positively correlated with the roof slope. The thermal behavior of the CWSSR system is greatly influenced by wind speeds but is less affected by orientations and atmospheric temperature.

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“…In recent years, the large‐scale structures are constructed widely, and metal roofs are a type of roof which are extensively utilized in structures with the advantages of lightweight, convenient construction, and corrosion resistance. Additionally, more and more new complex types of roofs are emerging to make the architecture design more flexible and versatile 1,2 . However, the accidents of roof structure damage under strong wind uplift occurred frequently, and several roofs were damaged subjected to typhoons, thunderstorms, and other strong winds.…”

Section: Introductionmentioning

confidence: 99%

“…Additionally, more and more new complex types of roofs are emerging to make the architecture design more flexible and versatile. 1,2 However, the accidents of roof structure damage under strong wind uplift occurred frequently, and several roofs were damaged subjected to typhoons, thunderstorms, and other strong winds. It is clearly established that dynamic wind loading is a significant and direct factor in the failure of roof structures.…”

mentioning

confidence: 99%

A data‐driven combined deterministic‐stochastic subspace identification method for condition assessment of roof structures subjected to strong winds

Wan

Luo

et al. 2022

Structural Contr & Hlth

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Summary The roof of a large‐span structure is vulnerable to strong winds, and thus, wind‐induced damage of the roof happens occasionally. Structural condition assessment from structural health monitoring (SHM) data provides a good means to analyze the structural safety condition and detect the damage. An accurate state space model is the key point to structural system identification and condition assessment as well. Because the wind loadings on the roof are frequently nonzero and non‐Gaussian, they cannot be directly simplified as random noise for the stochastic subspace identification. Data‐driven combined deterministic‐stochastic subspace identification (CSI) is adopted to identify the state of the wind‐induced vibrating roof structure, in which the wind loadings of the roof are considered as input parameters instead of noise term. Then, a novel specific damage‐sensitive feature is proposed to extract the damage information directly using the system matrices from the identified state space model, which overcomes the diversity at the state matrices. Combined with the statistical pattern recognition (SPR) technique, a statistics‐based damage index is defined to detect the change of the structural state. The proposed method is verified by a numerical simulation of a roof structure, in which the influence of different levels of wind excitation on the methodology is investigated. The results show that the proposed method is sensitive to the change of the structural state but insensitive to wind loading variations. Subsequently, a wind tunnel test performing on a real double‐layer metal roof model further demonstrates the effectiveness of the proposed method for practical application.

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A novel wind resistance sliding support with large sliding displacement and high tensile strength for metal roof system

Cited by 14 publications

References 30 publications

Fragility Assessment of Installation Defects in Industrial Standing Seam Metal Roof Subjected to Wind Loads

Fragility Assessment of Installation Defects in Industrial Standing Seam Metal Roof Subjected to Wind Loads

Experimental and simulation analysis of thermal behavior of large‐span roof system under solar radiation

A data‐driven combined deterministic‐stochastic subspace identification method for condition assessment of roof structures subjected to strong winds

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