Stress Analysis of 2D-FG Rectangular Plates with Multi-Gene Genetic Programming

Demirbaş, Munise Didem; Çakir, Didem; Öztürk, Celal; Arslan, Sibel

doi:10.3390/app12168198

Cited by 3 publications

(3 citation statements)

References 52 publications

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“…Genetic programming (GP) is a branch of genetic algorithms (GA) known for its evolutionary approach, generating a population represented by tress structures [93,94]. Inspired by fundamental genetic algorithm operators such as selection, crossover, and mutation, GP derives an intuitive methodology basis from GA [95]. The program represents an operation or numerical value (e.g., addition, subtraction, multiplication, or division, etc.)…”

Section: Development Of Mathematical Formulas To Determine Minimum Se...mentioning

confidence: 99%

“…for each corresponding node. Each program is evaluated by running a test set, with the best suited programs selected for producing the next generation through crossover and mutation [94][95][96][97][98]. Similarly, a GA initiates with a predetermined number of individuals forming an initial, which each are a possible solution to the problem [99].…”

Section: Development Of Mathematical Formulas To Determine Minimum Se...mentioning

confidence: 99%

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Formulation of Separation Distance to Mitigate Wind-Induced Pounding of Tall Buildings

Brown,

Alanani,

Elshaer

et al. 2024

Buildings

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Structures in proximity subjected to a substantial lateral load (e.g., wind and earthquakes) can lead to a significant hazard known as structural pounding. If not properly mitigated, such impacts can lead to local and global damage (i.e., structural failure). Mitigation approaches can include providing a suitable separation gap distance between structures, installing adequate shock absorbers, or designing the structure for the additional pounding impact loads. Wind-induced pounding of structures can be of higher risk to buildings due to large deflections developed during wind events. The current study develops various mathematical formulas to determine the suitable separation distance between structures in proximity to avoid pounding. The developed procedure relies first on wind-load evaluations using Large Eddy Simulation (LES) models. Then, the extracted wind loads from the LES are applied to finite element method models to determine the building deflections. Various building heights, wind velocities, and flexibility levels are examined to prepare a training database for developing the mathematical formulas. A genetic algorithm is utilised to correlate the required separation gap distance to the varying parameters of the tall buildings. It was found that more complex formulas can achieve better mapping to the training database.

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Section: Development Of Mathematical Formulas To Determine Minimum Se...mentioning

confidence: 99%

Section: Development Of Mathematical Formulas To Determine Minimum Se...mentioning

confidence: 99%

Formulation of Separation Distance to Mitigate Wind-Induced Pounding of Tall Buildings

Brown,

Alanani,

Elshaer

et al. 2024

Buildings

View full text Add to dashboard Cite

show abstract

“…Bu çalışmada belirsiz değerleri ortandan kaldırmak için nokta tahmini ve YSA ile termal yükleme altındaki davranışı araştırdılar. Demirbaş ve arkadaşları [14] termal yükleme altındaki malzemenin yapısındaki deformasyonları belirlemede kullanılan eşdeğer gerilme değerlerini göz önünde tutarak malzemenin kompozisyonel gradyant üst değerini bulmak için sonlu farklar metodunu kullandılar. Bu yöntemle oluşturdukları veri setiyle genetik programlamada optimizasyona yol gösterecek formülleri ürettiler.…”

Section: Introductionunclassified

Evaluation of the Performance of ANN Algorithms with the Bidirectional Functionally Graded Circular Plate Problem

Demirbaş¹,

Çakir

2022

International Scientific and Vocational Studies Journal

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Functionally graded materials (FGMs) are materials composed of metals and ceramics in which the distribution of material components varies according to a particular volumetric function. FGMs are often used in high-temperature applications. In our study, models were created in the Artificial Neural Network depending on the equivalent stress levels in the compositional gradient exponent, which is the most important parameter in determining the thermo-mechanical behavior of circular plates functionally staggered in two directions, and the performances of these models were evaluated. These models were obtained with four different training algorithms: Levenberg-Marquardt, Backpropagation Algorithm, Resilient Propagation Algorithm, Conjugate Gradient Backpropagation with Powell-Beale Restarts To train the ANN, equivalent stress levels were obtained by performing numerical analyzes at different compositional gradient upper values. The data sets were created by considering the largest value of the equivalent stress levels, the smallest value of the largest value, the largest value of the smallest value, and the smallest value of the smallest value. In this study, training stages and performance values were examined and interpreted with 4 training algorithms in detail.

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Active vibration control of rotating smart bidirectional FGPTC subjected to internal mechanical shock

2024

Mechanics Based Design of Structures and Machines

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Stress Analysis of 2D-FG Rectangular Plates with Multi-Gene Genetic Programming

Cited by 3 publications

References 52 publications

Formulation of Separation Distance to Mitigate Wind-Induced Pounding of Tall Buildings

Formulation of Separation Distance to Mitigate Wind-Induced Pounding of Tall Buildings

Evaluation of the Performance of ANN Algorithms with the Bidirectional Functionally Graded Circular Plate Problem

Active vibration control of rotating smart bidirectional FGPTC subjected to internal mechanical shock

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