On the seismic collapse capacity of optimally designed steel braced frames

Gholizadeh, Saeed; Hassanzadeh, Aydin; Milany, Arman; Ghatte, Hamid Farrokh

doi:10.1007/s00366-020-01096-7

Cited by 10 publications

(5 citation statements)

References 16 publications

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“…Ruggieri et al [12] developed a method for prioritising seismic risks in RC school buildings, and Zareian and Krawinkler [13] presented a probabilistic method for estimating the collapse potential of structural systems. Gholizadeh et al [14] investigated the collapse capacity of steel concentric braced frames, Li et al [15] used a stochastic dynamic analysis framework to understand the collapse risk of high-rise reinforced concrete structures.…”

Section: Literature Reviewmentioning

confidence: 99%

The Vulnerability of Highly Populated Buildings in the Face of Earthquake and Tsunami Hazards

Beheshtian,

Hashemi,

Tsang

2023

Proceedings of the 8th International Conference on Computational Methods in Structural Dynamics and Earthquake Engineering (COM

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The vulnerability of highly populated buildings, such as entertainment arenas, stadiums, religious buildings, and community centres, has received little attention in the literature. These buildings are of particular concern due to their high occupancy rates and the potential for significant casualties and economic losses in the event of a natural hazard, such as an earthquake or tsunami. In this study, the AsiaWorld-Expo in Hong Kong, with a maximum capacity of over 30,000 people, was chosen as a case study. A 3D numerical model of the structure was created using the OpenSees software. A range of earthquake scenarios was used to assess the building's seismic vulnerability, whilst a physics-based methodology was utilised to generate tsunami fragility curves of the structure for a wide range of conceivable scenarios. The results of this study provide insight into the vulnerability of highly populated buildings and can lead to the development of risk-informed structural design strategies.

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Section: Literature Reviewmentioning

confidence: 99%

The Vulnerability of Highly Populated Buildings in the Face of Earthquake and Tsunami Hazards

Beheshtian,

Hashemi,

Tsang

2023

Proceedings of the 8th International Conference on Computational Methods in Structural Dynamics and Earthquake Engineering (COM

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“…ECBO was then proposed to improve the drawbacks of colliding bodies optimization. Gholizadeh and Milany slightly modified ECBO and proposed ECBO‐II algorithm, which is described below.…”

Section: Optimization Algorithmmentioning

confidence: 99%

“…In the present study, metaheuristic optimization algorithms are utilized in conjunction with an NN model to minimize the total cost of SMRFs in the framework of PBD. Gholizadeh and Milany compared the performance of particle swarm optimization (PSO), dolphin echolocation optimization (DEO), enhanced colliding bodies optimization (ECBO), and ECBO‐II in PBD optimization of SMRFs considering the initial cost. Their study demonstrated superiority of ECBO‐II metaheuristic over the other algorithms.…”

Section: Introductionmentioning

confidence: 99%

Damage‐controlled performance‐based design optimization of steel moment frames

Gholizadeh

Fattahi

2018

Structural Design Tall Build

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In the present paper, performance-based design of steel moment-resisting frames (SMRFs) is implemented to minimize total cost of the structures. The total cost is summation of the initial construction cost and the seismic damage cost in operational lifetime of the structures subjected to seismic loading. In order to evaluate the seismic damage cost, Park-Ang damage index (DI), as one of the most realistic measures of structural seismic damage, is utilized. To calculate the DI, nonlinear time-history response of the structure needs to be evaluated during the optimization process. As the computational burden of the process is very high, neural network techniques are utilized to predict the required nonlinear time-history structural responses. As the design constraints, besides the drift checks at immediate occupancy and collapse prevention performance levels, the global DI is also checked at collapse prevention level to control the amount of seismic damage. In order to achieve the optimization task, a sequential enhanced colliding bodies optimization II is proposed. Numerical studies are conducted to demonstrate the efficiency of the proposed methodology involving 2 illustrative examples of a 6-story SMRF and a 12-story SMRF.Optimization algorithms can be classified into two main groups: gradient-based algorithms and metaheuristics. Due to the drawbacks of gradient-based algorithms in tackling complex problems such as PBD optimization problems, the metaheuristics have been developed to resolve the difficulties of these algorithms, and nowadays, they are much popular in the field of structural optimization. Because metaheuristics are independent of gradient computation, they have more chance to find the global optimum compared with gradient-based algorithms. During the last decade, many metaheuristics have been proposed based on natural metaphors and some of them have been applied to solve complex structural optimization problems. [8][9][10] However, their slow convergence rate and the need for excessive call functions are the main shortcoming of metaheuristics. Especially in the case of PBD optimization of structures, computational burden is prohibitively high where the nonlinear structural responses are required at performance levels during the optimization process. In order to address this critical issue, an efficient approximation tool should be utilized and the best candidate for this purpose is neural network (NN) technique. Nowadays, NNs are considered as

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“…Optimization methods can be implemented along with performance‐based approaches for designing cost‐effective structural systems 19 . Metaheuristic algorithms have emerged as powerful tools for optimizing structural systems in a performance‐based design context 20–23 . Many studies have focused on finding optimal structural cross‐sections, but only a few have incorporated connection and structural costs 24 .…”

Section: Introductionmentioning

confidence: 99%

“…19 Metaheuristic algorithms have emerged as powerful tools for optimizing structural systems in a performance-based design context. [20][21][22][23] Many studies have focused on finding optimal structural cross-sections, but only a few have incorporated connection and structural costs. 24 Topology optimization methodologies have been implemented to find the best arrangement of moment connections in MRFs.…”

Section: Introductionmentioning

confidence: 99%

Performance‐based optimum seismic design of self‐centering steel moment frames with SMA‐based connections

Hassanzadeh,

Moradi,

Burton

2024

Earthq Engng Struct Dyn

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Shape memory alloys (SMAs) have found several applications in earthquake‐resilient structures. However, because of high material costs, their implementation on industry projects is still limited. Developing design approaches that minimize the use of expensive SMAs is critical to facilitating their widespread adoption in real structures. This paper proposes a performance‐based seismic design optimization procedure for self‐centering steel moment‐resisting frames (SC‐MRFs) with SMA‐bolted endplate connections. The topology optimization uses a metaheuristic algorithm to minimize the frame's total cost, including the initial construction and expected repair costs. The design variables are the steel beam and column sections, SMA connection properties, and the topology of the SMA connections. Different constraints are considered, such as the constructability of the chosen steel sections, member strengths, performance‐based design, Park‐Ang damage index, and strong‐column weak‐beam requirements. Furthermore, the seismic safety of optimal designs is assessed by calculating adjusted collapse margin ratios according to FEMA‐P695. An illustrative optimization study using three‐ and nine‐story SC‐MRFs is presented. The optimal SC‐MRFs are then assessed in terms of cost and seismic performance. The results confirm the effectiveness of the proposed optimum design, which minimizes the use of SMAs while ensuring improved seismic performance. The case studies show that the optimal placement of SMA connections can reduce the total cost by up to 71% and 61% for the three‐ and nine‐story SC‐MRFs, respectively, compared to nonoptimal frames. Moreover, the optimal SC‐MRFs exhibit more uniform drift distributions, lower residual story drifts by up to 96%, and increase collapse capacity by up to 102%.

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On the seismic collapse capacity of optimally designed steel braced frames

Cited by 10 publications

References 16 publications

The Vulnerability of Highly Populated Buildings in the Face of Earthquake and Tsunami Hazards

The Vulnerability of Highly Populated Buildings in the Face of Earthquake and Tsunami Hazards

Damage‐controlled performance‐based design optimization of steel moment frames

Performance‐based optimum seismic design of self‐centering steel moment frames with SMA‐based connections

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