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Engineering Commons

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Structural Engineering

Henry M. Rowan College of Engineering Faculty Scholarship

Series

2020

Articles 1 - 2 of 2

Full-Text Articles in Engineering

Dual Target Optimization Of Two-Dimensional Truss Using Cost Efficiency And Structural Reliability Sufficiency, Mohammad Rezaee, Seyed Hooman Ghasemi, Mansoureh Rezaee Oct 2020

Dual Target Optimization Of Two-Dimensional Truss Using Cost Efficiency And Structural Reliability Sufficiency, Mohammad Rezaee, Seyed Hooman Ghasemi, Mansoureh Rezaee

Henry M. Rowan College of Engineering Faculty Scholarship

The main contribution of this study is to open a discussion regarding the structural optimization associated with the cost efficiency and structural reliability sufficiency consideration. To do so, several various optimization approaches are investigated to deliberate both cost and reliability concerns. Particularly, particle swarm optimization is highlighted as a reliable optimization approach. Accordingly, an illustrative example is rendered to compare the feasibility of the considered optimization approaches. The feasibility of the investigated approaches is evaluated using the cost and reliability analysis. For the considered example, it was observed that the PSO optimization algorithm has multiple advantages such as easy realization, …


Classification Of Seismic Vulnerability Based On Machine Learning Techniques For Rc Frames, Seyed Hooman Ghasemi, Hossein Bahrami, Mahdi Akbari Apr 2020

Classification Of Seismic Vulnerability Based On Machine Learning Techniques For Rc Frames, Seyed Hooman Ghasemi, Hossein Bahrami, Mahdi Akbari

Henry M. Rowan College of Engineering Faculty Scholarship

Seismic vulnerability means the inability of historical and monumental buildings to withstand the effects of seismic forces. This article presents a classification model to specify the damage state of the Reinforced Concrete (RC) frames based on a collection of datasets from the damaged buildings in Bingol earthquake of Turkey for use in the learning process of the algorithm. The proposed model uses two classifiers including the redundancy and also the construction quality of the buildings to estimate the class of damage from four categories including none, light, moderate and severe. The available database of the considered earthquake includes the information …