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측정 ^ 사방 ^ 산림수자원 분야 ( 정보통신센터 멀티미디어실 3 ) : GIS 를 이용한 임도망 계획의 D / B 구축 및 노선선정
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유아동 TV 애니메이션의 캐릭터 성별에 따른 색채 분석
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A novel functions of the inhibitory Smads in TGF-β-mediated anti-inflammation
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A New Strategy of Fine Tuning of A Polymer Melt Rheology
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비소 오염토양에서 비소제거를 위한 산화환원전위 연구
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고추(Capsicum annuum) callis와 검은 무늬병 유발균의 elicitor를 이용한 항균물질 생산
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- 저자 : Ahmet Emin Kurtoglu (검색결과 4 건)
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Mechanical and durability properties of fly ash and slag based geopolymer concrete
Kurtoglu, Ahmet Emin,Alzeebaree, Radhwan,Aljumaili, Omar,Nis, Anil,Gulsan, Mehmet Eren,Humur, Ghassan,Cevik, Abdulkadir Techno-Press 2018 Advances in concrete construction Vol.6 No.4
In this paper, mechanical and short-term durability properties of fly ash and slag based geopolymer concretes (FAGPC-SGPC) were investigated. The alkaline solution was prepared with a mixture of sodium silicate solution ($Na_2SiO_3$) and sodium hydroxide solution (NaOH) for geopolymer concretes. Ordinary Portland Cement (OPC) concrete was also produced for comparison. Main objective of the study was to examine the usability of geopolymer concretes instead of the ordinary Portland cement concrete for structural use. In addition to this, this study was aimed to make a contribution to standardization process of the geopolymer concretes in the construction industry. For this purpose; SGPC, FAGPC and OPC specimens were exposed to sulfuric acid ($H_2SO_4$), magnesium sulfate ($MgSO_4$) and sea water (NaCl) solutions with concentrations of 5%, 5% and 3.5%, respectively. Visual inspection and weight change of the specimens were evaluated in terms of durability aspects. For the mechanical aspects; compression, splitting tensile and flexural strength tests were conducted before and after the chemical attacks to investigate the residual mechanical strengths of geopolymer concretes under chemical attacks. Results indicated that SGPC (100% slag) is stronger and durable than the FAGPC due to more stable and strong cross-linked alumina-silicate polymer structure. In addition, FAGPC specimens (100% fly ash) showed better durability resistance than the OPC specimens. However, FAGPC specimens (100% fly ash) demonstrated lower mechanical performance as compared to OPC specimens due to low reactivity of fly ash particles, low amount of calcium and more porous structure. Among the chemical environments, sulfuric acid ($H_2SO_4$) was most dangerous environment for all concrete types.
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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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