Damage probability analysis of a high-rise building against wind excitation with recorded field data and direction effect

Zheng, Xiao-Wei; Li, Hong‐Nan; Li, Chao

doi:10.1016/j.jweia.2018.11.018

Cited by 32 publications

(1 citation statement)

References 48 publications

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“…High‐rise buildings are especially sensitive to horizontal loads provoked by earthquakes and winds. Hazard‐related damage and restorations costs in tall buildings were extensively investigated in the literature, for both earthquakes 1–3 and winds 4–6 . Although most practitioners still rely on single‐hazard design procedures, several works demonstrated the need to account for both seismic and wind loads in tall buildings design 7–10 .…”

Section: Introductionmentioning

confidence: 99%

Bi‐tuned semi‐active TMDs: Multi‐hazard design for tall buildings using gradient‐based optimization

Kleingesinds

Lavan

2021

Structural Contr & Hlth

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Current research on tall buildings design has shown the need for multi‐hazard approaches in numerous practical cases. To improve the performance under hazard‐related horizontal loads, supplemental damping devices emerge as an efficient solution. For example, passive tuned massive dampers (TMDs) have been used in tall buildings for decades. However, since earthquakes and winds mobilize the structures in different ways, the multi‐hazard design of TMDs remains a difficult task. Thus, adaptive devices are an encouraging solution for this purpose. This research proposes an efficient use of existing semi‐active TMDs that were proposed for other purposes through tuning them exclusively to two sets of frequency and damping ratio: a set for seismic loads and a set for wind loads. These bi‐tuned STMDs would behave as passive dampers during any hazard event, but with an appropriate tuning. Because mechanical properties switch only at the beginning and at the end of seismic events, the control system required would be simple and reliable. An optimization‐based methodology is proposed to design multiple BSTMDs. The total added mass is minimized, while the building life‐cycle cost (LCC) is selected as a performance constraint. An efficient gradient‐based algorithm, originally developed for passive TMDs, is adapted for BSTMDs. Two problem formulations are proposed, to allow distinct design alternatives. The devices design is illustrated by four case studies. The examples show that BSTMDs may provide the same performance of their passive counterparts, using less than half of their total added mass.

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Section: Introductionmentioning

confidence: 99%

Bi‐tuned semi‐active TMDs: Multi‐hazard design for tall buildings using gradient‐based optimization

Kleingesinds

Lavan

2021

Structural Contr & Hlth

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Multihazard fragility assessment of steel‐concrete composite frame structures with buckling‐restrained braces subjected to combined earthquake and wind

Liu

et al. 2020

Structural Design Tall Build

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SummaryEngineering structures may inevitably be subjected to multiple natural hazards (such as earthquakes and winds) during their life cycles. This paper presents an efficient multihazard fragility methodology based on the structural demand models. The approach is applied to two steel‐concrete composite frame structures (SCCFSs), with and without buckling‐restrained braces (BRBs), aiming to evaluate the effect of BRBs on controlling the structural responses and fragilities under the combined earthquake and wind loads. In total, 120 earthquake records are selected, and 120 sets of wind drag force time histories are simulated by considering the spatial variation along the height of the exemplar building. The combined “earthquake–wind” events are stochastically assembled, in which the intensities of these two hazards are modeled using the Monte Carlo simulation. The OpenSees platform is employed to calculate the dynamic responses of the SCCFSs with and without BRBs under simultaneous earthquake and wind loads. The goodness of fits of the first‐, second‐, and third‐order polynomial in predicting the structural demand are evaluated, and the optimal polynomial is employed to generate the multihazard fragility surfaces at different damage states. The numerical results indicate that the structural responses and fragilities under the combined earthquake and wind are higher than those under an individual hazard, while the influencing extent varies with the relative intensities of these two hazards. The impact of multiple hazards and the control effect of BRBs on the structural responses and fragilities are systematically quantified and discussed in details.

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Intelligent crack identification method for high‐rise buildings aided by synthetic environments

Yao,

Jiang,

Wang

et al. 2024

Structural Design Tall Build

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SummaryCracks can develop in high‐rise buildings because of long‐term environmental changes and extreme loading events such as strong winds or earthquakes. Although deep learning‐based identification methods can efficiently identify cracks, the accuracy of crack identification in high‐rise buildings needs to be improved due to the lack of crack datasets specifically related to high‐rise structures. Moreover, the number of available images of cracks in high‐rise is limited. To this end, this paper establishes an intelligent crack identification method based on a photorealistic synthetic modeling technique. First, a computer graphics (CG) model of a high‐rise building with assumed damage is constructed. Subsequently, the CG model is utilized to generate a dataset that includes photorealistic images of the high‐rise building as well as corresponding labels for various components and types of damage. The generated dataset is then used to train a DeepLabv3 + neural network for structural component and damage identification, followed by validation by employing images of both synthetic and full‐scale high‐rise buildings. The trained network can accurately identify different components in images of the full‐scale, high‐rise building and identify cracks that are intentionally synthesized in those images. The results show that the synthetic dataset generated by the CG model not only allows for fast and efficient labeling for the purpose of neural network training but also outperforms methods that do not consider any application‐specific context in crack identification.

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Damage probability analysis of a high-rise building against wind excitation with recorded field data and direction effect

Cited by 32 publications

References 48 publications

Bi‐tuned semi‐active TMDs: Multi‐hazard design for tall buildings using gradient‐based optimization

Bi‐tuned semi‐active TMDs: Multi‐hazard design for tall buildings using gradient‐based optimization

Multihazard fragility assessment of steel‐concrete composite frame structures with buckling‐restrained braces subjected to combined earthquake and wind

Intelligent crack identification method for high‐rise buildings aided by synthetic environments

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