Steel Moment-Resisting Frame Reliability via the Interval Analysis by FCM-PSO Approach considering Various Uncertainties

Jough, Fooad Karimi Ghaleh; Şensoy, Serhan

doi:10.1080/13632469.2017.1401564

Cited by 13 publications

(2 citation statements)

References 17 publications

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“…In the realm of seismic behavior and risk assessment, providing second layer of control to the system also leads to a significant stride in addressing uncertainties inherent in seismic events (Karimi Ghaleh Jough & Ghasemzadeh, 2023). The dynamic and unpredictable nature of seismic behavior necessitates a nuanced understanding of uncertainties, a focal point explored in many researches (Babaei & Zarfam, 2019;Karimi Ghaleh Jough & Beheshti Aval, 2018;Karimi Ghaleh Jough & Şensoy, 2020;Karimi Ghaleh Jough et al, 2021;Dithurson et al 2023).…”

Section: Introductionmentioning

confidence: 99%

A Comprehensive Evaluation of Tuned Vertical Isolation System for Seismic Risk Mitigation

Babaei,

Karimi Ghaleh Jough

2024

Journal of Applied Engineering Sciences

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Vertical isolation by dividing the building into two soft and stiff sub-systems benefits from the period shifts and the damping mechanism across the height. However, the displacement demand imposed on the soft sub-system is less applicable in congested urban areas. As a result, in this study, a hybrid system of vertical isolation system benefiting from a tuned soft subsystem divided into upper and lower portions is investigated. A parametric linear 3-Degree of Freedom (DoF) model of the system incorporating mass and frequency ratio of the sub-systems was introduced and analyzed by response spectrum in MATLAB. A closed-form solution for the system frequency and mode shapes was also established. Response spectrum analysis indicates increasing the Tuned Mass Damper (TMD)’s fundamental period to 2.5 times the soft sub-system’s, reduces its displacement to more than 40 percent. The Multi Degree of Freedom (MDoF) model of the system is parametrically generated in MATLAB. Time history analysis of the building subjected to 40 records with 2 and 10 percent probabilities of exceedance in 50 years compared with conventional vertical isolation reveals the lower soft sub-system displacement can be reduced up to 45 percent by shifting drift to upper stories. The innovative tuned vertical isolation by demonstrating superior control performance as comprises lower floors’ drift may be an applicable solution for adjacent high- and low-rise buildings.

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Section: Introductionmentioning

confidence: 99%

A Comprehensive Evaluation of Tuned Vertical Isolation System for Seismic Risk Mitigation

Babaei,

Karimi Ghaleh Jough

2024

Journal of Applied Engineering Sciences

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“…Six rotation-moment parameters of the concentrated plastic hinges were considered as epistemic uncertainties for the beam and column components -that is, a total of 12 epistemic uncertainties (six for each beam and six for each column). The mean values of the uncertainties are calculated by equations (12) to (16).…”

Section: Introducing Concentrated Plastic Hinge Model Parameters As Uncertaintiesmentioning

confidence: 99%

Estimating collapse risk and reliability of concrete moment frame structure using response surface method and hybrid of artificial neural network with particle swarm optimization algorithm

Bayari

Shabakhty

Abadi

2021

Proceedings of the Institution of Mechanical Engineers, Part O:

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Structural collapse performance assessment has been at the center of many researchers’ interest due to complications of this phenomenon and uncertainties involved in modeling the simulation of the structural collapse response. This research aims to predict the structural collapse responses including mean collapse capacity, collapse standard deviation, and collapse drift by considering modeling uncertainties and then estimating collapse fragility curves, collapse risk, and reliability using Response Surface Method (RSM) and Artificial Neural Network (ANN). Modeling uncertainties for evaluating collapse responses are the parameters of the modified Ibarra-Krawinkler moment-rotation curve. Moreover, to analyze the structural uncertainty, the correlation between the model parameters in one component and between two structural components was considered. The Latin Hypercube Sampling (LHS) method and Cholesky decomposition were used to produce independent and dependent random variables, respectively. To predict the collapse responses of the structure, taking into account the uncertainties, as the number of uncertainties increases, the number of simulations for the uncertainties also increases, leading to a significant increase in the computational effort to estimate the structural responses, in the presence of a limited number of samples for uncertainties, a hybrid of ANN with PSO algorithm was used to reduce the computational effort in order to estimate the collapse fragility curves, collapse risk, and structural reliability. The results show that structural collapse responses can be predicted with appropriate accuracy by producing a limited number of samples for uncertainties and using an ANN-PSO algorithm.

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Fuzzy C-Means Clustering: Advances and Challenges (Part II)

Nayak,

Rekha,

Naik

2023

Machine Learning for Data Science Handbook

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Steel Moment-Resisting Frame Reliability via the Interval Analysis by FCM-PSO Approach considering Various Uncertainties

Cited by 13 publications

References 17 publications

A Comprehensive Evaluation of Tuned Vertical Isolation System for Seismic Risk Mitigation

A Comprehensive Evaluation of Tuned Vertical Isolation System for Seismic Risk Mitigation

Estimating collapse risk and reliability of concrete moment frame structure using response surface method and hybrid of artificial neural network with particle swarm optimization algorithm

Fuzzy C-Means Clustering: Advances and Challenges (Part II)

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