Evaluation of 2D concentrically braced frames with cylindrical dampers subjected to near-field earthquake ground motions

Mirtaheri, Masoud; Salkhordeh, Mojtaba; Kolbadi, S. Mahdi S.; Mirzaeefard, Hamid; Razzaghian, M. R.

doi:10.52547/nmce.4.3.21

Cited by 6 publications

(3 citation statements)

References 12 publications

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“…e drilling causes the injuries like yielding, sharp bulge in plates, visible prominences and fibers shaving and protrusion [35]. In fact, the small splinters are a kind of pollution and wrinkles, around the cavity.…”

Section: Discussionmentioning

confidence: 99%

Comprehensive Structural Assessment of a Perforated Plate in the Edge and Central Crack

Abadi

Nazari

Bazvandi

2022

Shock and Vibration

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Injury domain method does not let the cracks close to the critical level to start growing and lead to the critical length before the time of periodic visits. Until now, calculation method of the tension in a perforated plate has been assessed in two- or three-dimensional mode by considering the special opening (holes with different geometry). But, the tension calculation in a plate included opening with edge crack presence in three-dimensional mode has not been studied. So, in this study, in addition to the assessment of this mode, calculation method of the tension in the plates including different opening will be assessed. Generally, when the object endures the tensions for a long time, the geometric deformation will be occurred. Used plates in this study are made of isotropic materials. In these materials, when the force is applied, they show the same function in any direction and the direction of applying force has any on effect their treatment. For analyzing the data, the Abaqus software is used. The results of the research show that the kind of the boundary conditions has effect on the value of critical load in the tension and kind of created tension. In the joint-joint boundary conditions, tension critical load increases with length-to-width ratio increase, and local tension occurred in the higher penetration ratio. However, in the joint-open boundary conditions, by increasing the length-to-width ratio, the tension critical load is decreased and in often cases, the tensions are kind of general. According to this, the plates including cavity with bigger dimensions are subjected to local tension in smaller ratios of yielding dimension.

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Section: Discussionmentioning

confidence: 99%

Comprehensive Structural Assessment of a Perforated Plate in the Edge and Central Crack

Abadi

Nazari

Bazvandi

2022

Shock and Vibration

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“…Parameters Based on Field Survey e following rules are used to determine the membership function range of input parameters by the SCC-FCM method [18]. e minimum values obtained from the eld survey are the range G in the parameters whose lower values are more desirable and the range B in the parameters whose higher values are more desirable [19]. For example, the building age is a parameter whose lower values are more desirable, while the greater the distance to the fault, the more desirable it is.…”

Section: Membership Functions Of Input and Outputmentioning

confidence: 99%

Buildings, Causalities, and Injuries Innovative Fuzzy Damage Model during Earthquakes

Shahmirani

Akbarpour

Ramezani

et al. 2022

Shock and Vibration

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One of the human concerns has always been to estimate the damage caused before the earthquake and predict the extent of injuries and causalities. An effective model should be developed based on the field survey data for appropriate prediction. In this study, the degree of damage to the structure is first determined and the potential damage is then predicted using field data and fuzzy logic (FL). Effective parameters in the model include the structure height, building age, shear wave velocity in the soil, the plan equivalent moment of inertia, distance to the fault, earthquake factor, the number of inhabitants in the building, and the building height-to-width ratio (HWR). The parameters are fuzzily divided into five classifications: bad, relatively bad, medium, relatively good, and good. The model output parameter, which is the degree of damage to the building, is fuzzy and is divided into five classifications: complete damage, extensive damage, moderate damage, slight damage, and no damage. It should be noted that buildings with steel and concrete structures and moment frames, in the night, day, and traffic time scenarios, have very limited type 3 and 4 injuries with 32, 24, and 16 people, respectively, but type 1 and 2 injuries are significant. During the earthquake at night, the number of people with type 1 and 2 injuries is 975607 and 58757, in the event of the earthquake during the day, the number of people with type 1 and 2 injuries is 739096 and 44513, and during the earthquake at traffic time, the number of people with type 1 and 2 injuries is 492731 and 29675, respectively.

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“…Moreover, the peak floor acceleration and also peak floor velocity have a direct relation to the damage of different types of non-structural elements [14][15][16][17][18]. Therefore, estimating these parameters can be significantly efficient in determining the extent of damage in different building types [19]. Machine Learning (ML) is a scientific discipline that investigates the study and development of mathematical algorithms that can construct functional relationship between quantities in terms of known information and rules [20,21].…”

Section: Introductionmentioning

confidence: 99%

A swift neural network-based algorithm for demand estimation in concrete moment-resisting buildings

Salkhordeh

Mirtaheri

2022

NMCE

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Rapid evaluation of demand parameters of different types of buildings is crucial for social restoration after damaging earthquakes. Previous studies proposed numerous methodologies to measure the performance of buildings for assessing the potential risk under the seismic hazard. However, time-consuming Nonlinear Response History Analysis (NRHA) barricaded implementing a prompt loss estimation for emergency confronting actions. The present study proposes a swift framework for demand estimation in concrete moment-resisting buildings using artificial neural networks. For this purpose, a simplified model is developed based on the HAZUS method. To eliminate the required time-consuming NRHA from the post-earthquake actions, Artificial Neural Networks (ANNs) are used. Before the event, ANNs are studied to estimate the demand parameters using a set of time-history analyses. This study applies to a suite of 111 earthquake events, originally developed in the SAC project and uniformly scaled from 0.1 g to 1.5 g , to achieve a generalized prediction model. Bayesian Optimization (BO) algorithm is carried out to tune the architecture of the NNs. Results reveal that the presented approach is reliable for predicting the structural response, and is cost-effective compared to the conventional NRHA. This framework can be implemented in the body of a risk assessment platform to expedite the postearthquake actions required for crisis management.

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Evaluation of 2D concentrically braced frames with cylindrical dampers subjected to near-field earthquake ground motions

Cited by 6 publications

References 12 publications

Comprehensive Structural Assessment of a Perforated Plate in the Edge and Central Crack

Comprehensive Structural Assessment of a Perforated Plate in the Edge and Central Crack

Buildings, Causalities, and Injuries Innovative Fuzzy Damage Model during Earthquakes

A swift neural network-based algorithm for demand estimation in concrete moment-resisting buildings

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