Yazar "Geem, Zong Woo" için listeleme
-
Explainable ensemble learning models for the rheological properties of self-compacting concrete
Çakıroğlu, Celal; Bekdaş, Gebrail; Kim, Sanghun; Geem, Zong Woo (MDPI-Multidisciplinary Digital Publishing Institute, 2022)Self-compacting concrete (SCC) has been developed as a type of concrete capable of filling narrow gaps in highly reinforced areas of a mold without internal or external vibration. Bleeding and segregation in SCC can be ... -
Harmony search optimisation of dispersed laminated composite plates
Çakıroğlu, Celal; Bekdaş, Gebrail; Geem, Zong Woo (Mdpi, 2020)One of the major goals in the process of designing structural components is to achieve the highest possible buckling load of the structural component while keeping the cost and weight at a minimum. This paper illustrates ... -
Interpretable machine learning algorithms to predict the axial capacity of frp-reinforced concrete columns
Çakıroğlu, Celal; Islam, Kamrul; Bekdaş, Gebrail; Kim, Sanghun; Geem, Zong Woo (MDPI-Multidisciplinary Digital Publishing Institute, 2022)Fiber-reinforced polymer (FRP) rebars are increasingly being used as an alternative to steel rebars in reinforced concrete (RC) members due to their excellent corrosion resistance capability and enhanced mechanical properties. ... -
Interpretable predictive modelling of basalt fiber reinforced concrete splitting tensile strength using ensemble machine learning methods and SHAP approach
Basalt fibers are a type of reinforcing fiber that can be added to concrete to improve its strength, durability, resistance to cracking, and overall performance. The addition of basalt fibers with high tensile strength ... -
Metaheuristic optimization of laminated composite plates with Cut-Outs
Çakıroğlu, Celal; Islam, Kamrul; Bekdaş, Gebrail; Kim, Sanghun; Geem, Zong Woo (MDPI-Multidisciplinary Digital Publishing Institute, 2021)The stacking sequence optimization of laminated composite plates while maximizing the structural performance or minimizing the weight is a subject investigated extensively in the literature. Meanwhile, research on the ... -
Neural network predictive models for alkali-activated concrete carbon emission using metaheuristic optimization algorithms
Çakıroğlu, Celal; Aydın, Ceren; Bektaş, Gebrail; Işıkdağ, Ümit; Kim, Sanghun; Hong, Junhee; Geem, Zong Woo (2023)Due to environmental impacts and the need for energy efficiency, the cement industry aims to make more durable and sustainable materials with less energy requirements without compromising mechanical properties based on ... -
Optimal dimensioning of retaining walls using explainable ensemble learning algorithms
Bekdaş, Gebrail; Çakıroğlu, Celal; Kim, Sanghun; Geem, Zong Woo (MDPI-Multidisciplinary Digital Publishing Institute, 2022)This paper develops predictive models for optimal dimensions that minimize the construction cost associated with reinforced concrete retaining walls. Random Forest, Extreme Gradient Boosting (XGBoost), Categorical Gradient ... -
Optimal dimensions of post-tensioned concrete cylindrical walls using harmony search and snsemble learning with SHAP
The optimal design of prestressed concrete cylindrical walls is greatly beneficial for economic and environmental impact. However, the lack of the available big enough datasets for the training of robust machine learning ... -
Optimisation of shear and lateral-torsional buckling of steel plate girders using meta-heuristic algorithms
Çakıroğlu, Celal; Bekdaş, Gebrail; Kim, Sanghun; Geem, Zong Woo (Mdpi, 2020)The shear buckling of web plates and lateral-torsional buckling are among the major failure modes of plate girders. The importance of the lateral-torsional buckling capacity of plate girders was further evidenced when ... -
Optimization and predictive modeling of reinforced concrete circular columns
Bekdaş, Gebrail; Çakıroğlu, Celal; Kim, Sanghun; Geem, Zong Woo (MDPI-Multidisciplinary Digital Publishing Institute, 2022)Metaheuristic optimization techniques are widely applied in the optimal design of structural members. This paper presents the application of the harmony search algorithm to the optimal dimensioning of reinforced concrete ... -
Optimum design of cylindrical walls using ensemble learning methods
Bekdaş, Gebrail; Çakıroğlu, Celal; Islam, Kamrul; Kim, Sanghun; Geem, Zong Woo (MDPI-Multidisciplinary Digital Publishing Institute, 2022)The optimum cost of the structure design is one of the major goals of structural engineers. The availability of large datasets with preoptimized structural configurations can facilitate the process of optimum design ... -
Performance of optimum tuned PID controller with different feedback strategies on active-controlled structures
Ulusoy, Serdar; Bekdaş, Gebrail; Niğdeli, Sinan Melih; Kim, Sanghun; Geem, Zong Woo (MDPI-Multidisciplinary Digital Publishing Institute, 2021)In this study, multi-story structures with different combinations (on each floor and only the first floor) of active tendon control systems driven by a proportional-integral-derivative (PID) controller were actively ...