Performance-based multi-objective collaborative optimization of steel frames with fuse-oriented buckling-restrained braces

Tu, Xiang; He, Zheng; Huang, Guohui

doi:10.1007/s00158-019-02366-9

Cited by 19 publications

(6 citation statements)

References 34 publications

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“…Park et al [15] adopted the damage cost expected during the structure's life cycle for the parameter. Similar studies were performed by Mohammadi et al [16], Tu et al [17], Fujishita et al [18], and Terazawa and Takeuchi [19,20].…”

Section: Implementation Of Brbssupporting

confidence: 80%

Application of Genetic Algorithm to Optimize Location of BRB for Reinforced Concrete Frame with Curtailed Shear Wall

2022

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The shear walls are essential seismic elements to increase buildings bearing capacity against earthquakes. In mid- and high-rise buildings, shear walls are subjected to predominant bending deformation under earthquakes, and the responses in upper floors increase. In order to utilize the shear walls appropriately, previous studies proposed to install shear walls until a certain building level, referred to as the curtailed wall. However, the upper frame structure without shear walls suffered significant deformation during earthquakes compared to the lower stories. Therefore, the objective of this study is to present structural configuration for buildings with curtailed shear walls by installing buckling-restrained braces (BRBs) in the upper frame to reduce its deformation under earthquakes. Firstly, the analysis accuracy was verified by simulating the experimental results of four sets of scaled frames with curtailed walls tested on a shaking table. Then, ten- and twenty-story plane frames with the different heights of curtailed walls were created, and their nonlinear responses to earthquake ground motions were evaluated. The genetic algorithm was applied to establish the optimum BRB locations to satisfy the design criteria. It was proved that using BRBs at specific locations in upper frames can significantly improve the seismic response of buildings with curtailed walls.

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Section: Implementation Of Brbssupporting

confidence: 80%

Application of Genetic Algorithm to Optimize Location of BRB for Reinforced Concrete Frame with Curtailed Shear Wall

2022

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“…Similarly, there is a host of research practices based on computer vision and learning systems in the field of DPMI. To fundamentally reduce the impact of hazards, researches have conducted different studies on structural components (Feng et al 2020), structural systems (Wang et al 2009), optimized designs (Tu et al 2020;Yang et al 2019), etc. Especially, not only the health monitoring and damage assessment of infrastructure objects at the global level (Gong et al 2012;Ram et al 2017;Chen et al 2017Gao et al 2018) but also the identification and quantification of surface cracks at the component level (Yang et al 2018b;Dorafshan et al 2018) can be realized through this idea.…”

Section: Results Fusionmentioning

confidence: 99%

Digital twin-driven intelligence disaster prevention and mitigation for infrastructure: advances, challenges, and opportunities

Dong

2022

Nat Hazards

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Natural hazards, which have the potential to cause catastrophic damage and loss to infrastructure, have increased significantly in recent decades. Thus, the construction demand for disaster prevention and mitigation for infrastructure (DPMI) systems is increasing. Many studies have applied intelligence technologies to solve key aspects of infrastructure, such as design, construction, disaster prevention and mitigation, and rescue and recovery; however, systematic construction is still lacking. Digital twin (DT) is one of the most promising technologies for multi-stage management which has great potential to solve the above challenges. This paper initially puts forward a scientific concept, in which DT drives the construction of intelligent disaster prevention and mitigation for infrastructure (IDPMI) systematically. To begin with, a scientific review of DT and IDPMI is performed, where the development of DT is summarized and a DT-based life cycle of infrastructures is defined. In addition, the intelligence technologies used in disaster management are key reviewed and their relative merits are illustrated. Furthermore, the development and technical feasibility of DT-driven IDPMI are illustrated by reviewing the relevant practice of DT in infrastructure. In conclusion, a scientific framework of DT-IDPMI is programmed, which not only provides some guidance for the deep integration between DT and IDPMI but also identifies the challenges that inspire the professional community to advance these techniques to address them in future research.

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“…They defined an energy dissipation ratio in order to characterize the involvement of fuse‐type BRBs in hysteretic energy dissipation in building stories in the optimization process. [ 22 ] Xu et al proposed a stochastic optimization method for the design of low‐ and mid‐rise frames with BRBs subject to seismic loading. Their suggested procedure improves the stiffness distribution along with the height of the BRBs at the system‐level.…”

Section: Introductionmentioning

confidence: 99%

Optimal design of 3D special steel buckling‐restrained braced structures

Kaveh

Moghanni

Javadi

2021

Structural Design Tall Build

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Summary In the current study, the optimal design of 3D frames equipped with buckling restrained braces is presented. The objective function in the optimization problem is considered as weight minimization subjected to serviceability and strength requirements. Three different metaheuristic algorithms including Particle Swarm Optimization (PSO) algorithm, Teaching Learning Based Optimization (TLBO) algorithm, and Discrete Firefly Algorithm (DFA) are utalized to solve the optimization problem. Response spectrum analysis is considered to examine the performance of the structures during the optimization process under applied loads. Two real‐size steel structures with buckling restrained braces are selected to perform optimal design. The results demonstrate that the TLBO algorithm has better performance in discrete structural optimization.

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Performance-based multi-objective collaborative optimization of steel frames with fuse-oriented buckling-restrained braces

Cited by 19 publications

References 34 publications

Application of Genetic Algorithm to Optimize Location of BRB for Reinforced Concrete Frame with Curtailed Shear Wall

Application of Genetic Algorithm to Optimize Location of BRB for Reinforced Concrete Frame with Curtailed Shear Wall

Digital twin-driven intelligence disaster prevention and mitigation for infrastructure: advances, challenges, and opportunities

Optimal design of 3D special steel buckling‐restrained braced structures

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