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2. Machine Learning Applications in Structural Engineering

Author

Ocak, Ayla, Bekdaş, Gebrail, Nigdeli, Sinan Melih, Işıkdağ, Umit, Kacprzyk, Janusz, Series Editor, Novikov, Dmitry A., Editorial Board Member, Shi, Peng, Editorial Board Member, Cao, Jinde, Editorial Board Member, Polycarpou, Marios, Editorial Board Member, Pedrycz, Witold, Editorial Board Member, Bekdaş, Gebrail, editor, and Nigdeli, Sinan Melih, editor

Published
2024
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3. Investigation of the Effect of Initial Parameters on the Performance of Metaheuristic Algorithms on a Structural Engineering Problem

Author

Bekdaş, Gebrail, Nigdeli, Sinan Melih, Kacprzyk, Janusz, Series Editor, Novikov, Dmitry A., Editorial Board Member, Shi, Peng, Editorial Board Member, Cao, Jinde, Editorial Board Member, Polycarpou, Marios, Editorial Board Member, Pedrycz, Witold, Editorial Board Member, Bekdaş, Gebrail, editor, and Nigdeli, Sinan Melih, editor

Published
2024
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5. Introduction to Data Analysis and Machine Learning Applications in Civil Engineering

Author

Sarı, Fatih Tarık, Nigdeli, Sinan Melih, Bekdaş, Gebrail, Işıkdağ, Umit, Kacprzyk, Janusz, Series Editor, Novikov, Dmitry A., Editorial Board Member, Shi, Peng, Editorial Board Member, Cao, Jinde, Editorial Board Member, Polycarpou, Marios, Editorial Board Member, Pedrycz, Witold, Editorial Board Member, Bekdaş, Gebrail, editor, and Nigdeli, Sinan Melih, editor

Published
2024
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7. Determination of the Effect of XGBoost’s Parameters on a Structural Problem

Author

Aydın, Yaren, Nigdeli, Sinan Melih, Bekdaş, Gebrail, Kacprzyk, Janusz, Series Editor, Novikov, Dmitry A., Editorial Board Member, Shi, Peng, Editorial Board Member, Cao, Jinde, Editorial Board Member, Polycarpou, Marios, Editorial Board Member, Pedrycz, Witold, Editorial Board Member, Bekdaş, Gebrail, editor, and Nigdeli, Sinan Melih, editor

Published
2024
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8. Shear Wall Cost Optimization by Employing Harmony Search

Author

Çoşut, Muhammed, Bekdaş, Gebrail, Nigdeli, Sinan Melih, Kacprzyk, Janusz, Series Editor, Novikov, Dmitry A., Editorial Board Member, Shi, Peng, Editorial Board Member, Cao, Jinde, Editorial Board Member, Polycarpou, Marios, Editorial Board Member, Pedrycz, Witold, Editorial Board Member, Bekdaş, Gebrail, editor, and Nigdeli, Sinan Melih, editor

Published
2024
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9. A Modified Jaya Algorithm for Optimum Design of Carbon Fiber-Reinforced Polymers

Author

Nigdeli, Sinan Melih, Bekdaş, Gebrail, Kayabekir, Aylin Ece, Kacprzyk, Janusz, Series Editor, Novikov, Dmitry A., Editorial Board Member, Shi, Peng, Editorial Board Member, Cao, Jinde, Editorial Board Member, Polycarpou, Marios, Editorial Board Member, Pedrycz, Witold, Editorial Board Member, Bekdaş, Gebrail, editor, and Nigdeli, Sinan Melih, editor

Published
2024
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10. Effect of CatBoost Parameters on Cost Minimization of Rectangular Section Reinforced Concrete Columns Under Uniaxial Bending Effect

Author

Aydın, Yaren, Bekdaş, Gebrail, Nigdeli, Sinan Melih, Kacprzyk, Janusz, Series Editor, Novikov, Dmitry A., Editorial Board Member, Shi, Peng, Editorial Board Member, Cao, Jinde, Editorial Board Member, Polycarpou, Marios, Editorial Board Member, Pedrycz, Witold, Editorial Board Member, Bekdaş, Gebrail, editor, and Nigdeli, Sinan Melih, editor

Published
2024
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12. Investigation of the Effect of Maximum Height for Tuned Liquid Damper Optimization

Author

Ocak, Ayla, Nigdeli, Sinan Melih, Bekdaş, Gebrail, Kacprzyk, Janusz, Series Editor, Gomide, Fernando, Advisory Editor, Kaynak, Okyay, Advisory Editor, Liu, Derong, Advisory Editor, Pedrycz, Witold, Advisory Editor, Polycarpou, Marios M., Advisory Editor, Rudas, Imre J., Advisory Editor, Wang, Jun, Advisory Editor, Garcia, Fausto P., editor, Jamil, Akhtar, editor, Hameed, Alaa Ali, editor, Ortis, Alessandro, editor, and Ramirez, Isaac Segovia, editor

Published
2024
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13. Optimization of Double-Tuned Mass Dampers via Jaya Algorithm

Author

Nigdeli, Sinan Melih, Bekdaş, Gebrail, Kacprzyk, Janusz, Series Editor, Gomide, Fernando, Advisory Editor, Kaynak, Okyay, Advisory Editor, Liu, Derong, Advisory Editor, Pedrycz, Witold, Advisory Editor, Polycarpou, Marios M., Advisory Editor, Rudas, Imre J., Advisory Editor, Wang, Jun, Advisory Editor, Hassanien, Aboul Ella, editor, Anand, Sameer, editor, Jaiswal, Ajay, editor, and Kumar, Prabhat, editor

Published
2024
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17. Parameter Optimization of Tuned Mass Damper Inerter via Adaptive Harmony Search.

Author

Aydın, Yaren, Bekdaş, Gebrail, Nigdeli, Sinan Melih, and Geem, Zong Woo

Subjects
TUNED mass dampers, GROUND motion, SEARCH algorithms, DYNAMIC loads, ADAPTIVE control systems
Abstract

Dynamic impacts such as wind and earthquakes cause loss of life and economic damage. To ensure safety against these effects, various measures have been taken from past to present and solutions have been developed using different technologies. Tall buildings are more susceptible to vibrations such as wind and earthquakes. Therefore, vibration control has become an important issue in civil engineering. This study optimizes tuned mass damper inerter (TMDI) using far-fault ground motion records. This study derives the optimum parameters of TMDI using the Adaptive Harmony Search algorithm. Structure displacement and total acceleration against earthquake load are analyzed to assess the performance of the TMDI system. The effect of the inerter when connected to different floors is observed, and the results are compared to the conventional tuned mass damper (TMD). It is indicated that the case of connecting the inerter force to the 5th floor gives better results. As a result, TMD and TMDI systems reduce the displacement by 21.87% and 25.45%, respectively, and the total acceleration by 25.45% and 19.59%, respectively. These percentage reductions indicated that the structure resilience against dynamic loads can be increased using control systems. [ABSTRACT FROM AUTHOR]

Published
2024
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21. Prediction of Damping Capacity Demand in Seismic Base Isolators via Machine Learning.

Author

Ocak, Ayla, Işıkdağ, Ümit, Bekdaş, Gebrail, Nigdeli, Sinan Melih, Sanghun Kim, and Zong Woo Geem

Subjects
DAMPING capacity, MACHINE learning, SUPERVISED learning, EARTHQUAKE resistant design, STRUCTURAL dynamics, RANDOM vibration, ARTIFICIAL intelligence
Abstract

Base isolators used in buildings provide both a good acceleration reduction and structural vibration control structures. The base isolators may lose their damping capacity over time due to environmental or dynamic effects. This deterioration of them requires the determination of the maintenance and repair needs and is important for the long-term isolator life. In this study, an artificial intelligence prediction model has been developed to determine the damage and maintenance-repair requirements of isolators as a result of environmental effects and dynamic factors over time. With the developed model, the required damping capacity of the isolator structure was estimated and compared with the previously placed isolator capacity, and the decrease in the damping property was tried to be determined. For this purpose, a data set was created by collecting the behavior of structures with single degrees of freedom (SDOF), different stiffness, damping ratio and natural period isolated from the foundation under far fault earthquakes. The data is divided into 5 different damping classes varying between 10% and 50%. Machine learning model was trained in damping classes with the data on the structure's response to random seismic vibrations. As a result of the isolator behavior under randomly selected earthquakes, the recorded motion and structural acceleration of the structure against any seismic vibration were examined, and the decrease in the damping capacity was estimated on a class basis. The performance loss of the isolators, which are separated according to their damping properties, has been tried to be determined, and the reductions in the amounts to be taken into account have been determined by class. In the developed prediction model, using various supervised machine learning classification algorithms, the classification algorithm providing the highest precision for the model has been decided. When the results are examined, it has been determined that the damping of the isolator structure with the machine learning method is predicted successfully at a level exceeding 96%, and it is an effective method in deciding whether there is a decrease in the damping capacity. [ABSTRACT FROM AUTHOR]

Published
2024
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22. Forecasting of Lake Level by Soft Computing Approaches

Author

Demir, Vahdettin, Tamer, Mehmet Ali, Carbas, Serdar, Kacprzyk, Janusz, Series Editor, Novikov, Dmitry A., Editorial Board Member, Shi, Peng, Editorial Board Member, Cao, Jinde, Editorial Board Member, Polycarpou, Marios, Editorial Board Member, Pedrycz, Witold, Editorial Board Member, Bekdaş, Gebrail, editor, and Nigdeli, Sinan Melih, editor

Published
2024
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23. Evaluation of Predictive Models for Mechanical Properties of Earth-Based Composites for Sustainable Building Applications

Author

Obianyo, Ifeyinwa Ijeoma, Onwualu, Azikiwe Peter, Mahamat, Assia Aboubakar, Kacprzyk, Janusz, Series Editor, Novikov, Dmitry A., Editorial Board Member, Shi, Peng, Editorial Board Member, Cao, Jinde, Editorial Board Member, Polycarpou, Marios, Editorial Board Member, Pedrycz, Witold, Editorial Board Member, Bekdaş, Gebrail, editor, and Nigdeli, Sinan Melih, editor

Published
2024
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24. Comparing Classification Algorithms for Predicting Spatial Land Cover via Landscape Indices in Nashik, India

Author

Sharma, Kratika, Sharma, Ritu, Wadhwani, Arun Kumar, Kacprzyk, Janusz, Series Editor, Novikov, Dmitry A., Editorial Board Member, Shi, Peng, Editorial Board Member, Cao, Jinde, Editorial Board Member, Polycarpou, Marios, Editorial Board Member, Pedrycz, Witold, Editorial Board Member, Bekdaş, Gebrail, editor, and Nigdeli, Sinan Melih, editor

Published
2024
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25. Artificial Intelligence-Driven Structural Health Monitoring: Challenges, Progress, and Applications

Author

Alves, Victor Higino Meneguitte, Alves, Vinicius Antônio Meneguitte, Cury, Alexandre Abrahão, Kacprzyk, Janusz, Series Editor, Novikov, Dmitry A., Editorial Board Member, Shi, Peng, Editorial Board Member, Cao, Jinde, Editorial Board Member, Polycarpou, Marios, Editorial Board Member, Pedrycz, Witold, Editorial Board Member, Bekdaş, Gebrail, editor, and Nigdeli, Sinan Melih, editor

Published
2024
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27. Geospatial Multi-criteria Decision Framework for Municipal Landfill Site Selection in Surat City, India

Author

Chaturvedi, Shobhit, Patel, Preyansh, Misam, Momin Mohammed, Bhatt, Naimish, Patel, Dhruvesh, Kacprzyk, Janusz, Series Editor, Novikov, Dmitry A., Editorial Board Member, Shi, Peng, Editorial Board Member, Cao, Jinde, Editorial Board Member, Polycarpou, Marios, Editorial Board Member, Pedrycz, Witold, Editorial Board Member, Bekdaş, Gebrail, editor, and Nigdeli, Sinan Melih, editor

Published
2024
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29. Application of Artificial Intelligence (AI) in Civil Engineering

Author

Awolusi, Temitope Funmilayo, Finbarrs-Ezema, Bernard Chukwuemeka, Chukwudulue, Isaac Munachimdinamma, Azab, Marc, Kacprzyk, Janusz, Series Editor, Novikov, Dmitry A., Editorial Board Member, Shi, Peng, Editorial Board Member, Cao, Jinde, Editorial Board Member, Polycarpou, Marios, Editorial Board Member, Pedrycz, Witold, Editorial Board Member, Bekdaş, Gebrail, editor, and Nigdeli, Sinan Melih, editor

Published
2024
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30. A Review of Deformations Prediction for Oil and Gas Pipelines Using Machine and Deep Learning

Author

Macêdo, Bruno S., Boratto, Tales H. A., Saporetti, Camila M., Goliatt, Leonardo, Kacprzyk, Janusz, Series Editor, Novikov, Dmitry A., Editorial Board Member, Shi, Peng, Editorial Board Member, Cao, Jinde, Editorial Board Member, Polycarpou, Marios, Editorial Board Member, Pedrycz, Witold, Editorial Board Member, Bekdaş, Gebrail, editor, and Nigdeli, Sinan Melih, editor

Published
2024
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31. Assessment of Unconfined Compressive Strength of Stabilized Soil Using Artificial Intelligence Tools: A Scientometrics Review

Author

Sari-Ahmed, Billal, Ghrici, Mohamed, Benzaamia, Ali, Khatti, Jitendra, Kacprzyk, Janusz, Series Editor, Novikov, Dmitry A., Editorial Board Member, Shi, Peng, Editorial Board Member, Cao, Jinde, Editorial Board Member, Polycarpou, Marios, Editorial Board Member, Pedrycz, Witold, Editorial Board Member, Bekdaş, Gebrail, editor, and Nigdeli, Sinan Melih, editor

Published
2024
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32. Prediction of Bi-Linear Strength Envelope of Brazilian Soils Using Machine Learning Techniques

Author

do Amaral Braz, Jonathan, da Fonseca, Leonardo Goliatt, Rodriguez, Tatiana Tavares, Kacprzyk, Janusz, Series Editor, Novikov, Dmitry A., Editorial Board Member, Shi, Peng, Editorial Board Member, Cao, Jinde, Editorial Board Member, Polycarpou, Marios, Editorial Board Member, Pedrycz, Witold, Editorial Board Member, Bekdaş, Gebrail, editor, and Nigdeli, Sinan Melih, editor

Published
2024
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33. Machine Learning Approaches for Predicting Compressive and Shear Strength of EB FRP-Reinforced Concrete Elements: A Comprehensive Review

Author

Benzaamia, Ali, Ghrici, Mohamed, Rebouh, Redouane, Kacprzyk, Janusz, Series Editor, Novikov, Dmitry A., Editorial Board Member, Shi, Peng, Editorial Board Member, Cao, Jinde, Editorial Board Member, Polycarpou, Marios, Editorial Board Member, Pedrycz, Witold, Editorial Board Member, Bekdaş, Gebrail, editor, and Nigdeli, Sinan Melih, editor

Published
2024
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