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- 저자 : AhmetEminKurtoglu (검색결과 5 건)
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Reliability-based modeling of punching shear capacity of FRP-reinforced two-way slabs
Ahmet Emin Kurtoglu,Abdulkadir Cevik,Hasan M. Albegmprli,Mehmet Eren Gulsan,Mahmut Bilgehan 사단법인 한국계산역학회 2016 Computers and Concrete, An International Journal Vol.17 No.1
This paper deals with the reliability analysis of design formulations derived for predicting the punching shear capacity of FRP-reinforced two-way slabs. Firstly, a new design code formulation was derived by means of gene expression programming. This formulation differs from the existing ones as the slab length (L) was introduced in the equation. Next, the proposed formulation was tested for its generalization capability by a parametric study. Then, the stochastic analyses of derived and existing formulations were performed by Monte Carlo simulation. Finally, the reliability analyses of these equations were carried out based on the results of stochastic analysis and the ultimate state function of ASCE-7 and ACI-318 (2011). The results indicate that the prediction performance of new formulation is significantly higher as compared to available design equations and its reliability index is within acceptable limits.
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Mechanical Investigation and Durability of HDPE-confined SCC Columns Exposed to Severe Environment
Ahmet Emin Kurtoglu,Ali Khalid Hussein,Mehmet Eren Gulsan,Mehmet Fatih Altan,Abdulkadir Cevik 대한토목학회 2018 KSCE JOURNAL OF CIVIL ENGINEERING Vol.22 No.12
This paper aims at investigating the mechanical properties and short term durability performance of Self-Compacting Concrete (SCC) – filled High Density Polyethylene (HDPE) tubes with and without steel fibers. A total of 45 cylinder specimens were prepared and subjected to aggressive substances such as sulfate or acid contents. At the end of each exposure, the specimens were instrumented and tested under axial compression. Test variables included the environmental exposure conditions, tube thickness, inside diameter, tube height and steel fiber presence. The load-strain behavior was inspected to evaluate the effect of each exposure. The results indicated that peak load reduction in HDPE-confined specimens is only about 0.3-1% whereas this reduction is around 45 -50% for unconfined specimens. In addition, increasing tube thickness by 30% results in up to 50% higher fracture energy. Results also indicate that steel fiber addition has little contribution (0.3-1%) in load capacity whereas the energy absorption capacity is increased up to 20%.
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Patch load resistance of longitudinally stiffened webs: Modeling via support vector machines
Ahmet Emin Kurtoglu 국제구조공학회 2018 Steel and Composite Structures, An International J Vol.29 No.3
Steel girders are the structural members often used for passing long spans. Mostly being subjected to patch loading, or concentrated loading, steel girders are likely to face sudden deformation or damage e.g., web breathing. Horizontal or vertical stiffeners are employed to overcome this phenomenon. This study aims at assessing the feasibility of a machine learning method, namely the support vector machines (SVM) in predicting the patch loading resistance of longitudinally stiffened webs. A database consisting of 162 test data is utilized to develop SVM models and the model with best performance is selected for further inspection. Existing formulations proposed by other researchers are also investigated for comparison. BS5400 and other existing models (model I, model II and model III) appear to yield underestimated predictions with a large scatter; i.e., mean experimental-to-predicted ratios of 1.517, 1.092, 1.155 and 1.256, respectively; whereas the selected SVM model has high prediction accuracy with significantly less scatter. Robust nature and accurate predictions of SVM confirms its feasibility of potential use in solving complex engineering problems.
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Hasan M. Albegmprli,AbdulkadirÇevik,M. ErenGülşan,AhmetEminKurtoglu 사단법인 한국계산역학회 2015 Computers and Concrete, An International Journal Vol.15 No.2
The lack of experimental studies on the mechanical behavior of reinforced concrete (RC) haunched beams leads to difficulties in statistical and reliability analyses. This study performs stochastic and reliability analyses of the ultimate shear capacity of RC haunched beams based on nonlinear finite element analysis. The main aim of this study is to investigate the influence of uncertainty in material properties and geometry parameters on the mechanical performance and shear capacity of RC haunched beams. Firstly, 65 experimentally tested RC haunched beams and prismatic beams are analyzed via deterministic nonlinear finite element method by a special program (ATENA) to verify the efficiency of utilized numerical models, the shear capacity and the crack pattern. The accuracy of nonlinear finite element analyses is verified by comparing the results of nonlinear finite element and experiments and both results are found to be in a good agreement. Afterwards, stochastic analyses are performed for each beam where the RC material properties and geometry parameters are assigned to take probabilistic values using an advanced simulating procedure. As a result of stochastic analysis, statistical parameters are determined. The statistical parameters are obtained for resistance bias factor and the coefficient of variation which were found to be equal to 1.053 and 0.137 respectively. Finally, reliability analyses are accomplished using the limit state functions of ACI-318 and ASCE-7 depending on the calculated statistical parameters. The results show that the RC haunched beams have higher sensitivity and riskiness than the RC prismatic beams.
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Mehmet Eren Gulsan,Abdulkadir Cevik,AhmetEminKurtoglu 사단법인 한국계산역학회 2015 Computers and Concrete, An International Journal Vol.15 No.2
In this study, reliability analyses of steel fiber reinforced concrete (SFRC) corbels based on stochastic finite element were performed for the first time in literature. Prior to stochastic finite element analysis, an experimental database of 84 sfrc corbels was gathered from literature. These sfrc corbels were modeled by a special finite element program. Results of experimental studies and finite element analysis were compared and found to be very close to each other. Furthermore experimental crack patterns of corbel were compared with finite element crack patterns and were observed to be quite similar. After verification of the finite element models, stochastic finite element analyses were implemented by a specialized finite element module. As a result of stochastic finite element analysis, appropriate probability distribution functions (PDF’s) were proposed. Finally, coefficient of variation, bias and strength reduction (resistance) factors were proposed for sfrc corbels as a consequence of stochastic based reliability analysis.
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