Akış, Ebru
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A., Ebru
E., Akis
E., Akış
Akis E.
Akış,E.
Ebru Akış
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A.,Ebru
E.,Akis
Akis,E.
Akiş E.
Akış, Ebru
Akis, Ebru
Akis,Ebru
Ebru, Akış
Ebru, Akis
E., Akis
E., Akış
Akis E.
Akış,E.
Ebru Akış
E.,Akış
A.,Ebru
E.,Akis
Akis,E.
Akiş E.
Akış, Ebru
Akis, Ebru
Akis,Ebru
Ebru, Akış
Ebru, Akis
Job Title
Doktor Öğretim Üyesi
Email Address
ebru.akis@atilim.edu.tr
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Civil Engineering
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1NO POVERTY
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2ZERO HUNGER
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3GOOD HEALTH AND WELL-BEING
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4QUALITY EDUCATION
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5GENDER EQUALITY
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6CLEAN WATER AND SANITATION
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7AFFORDABLE AND CLEAN ENERGY
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8DECENT WORK AND ECONOMIC GROWTH
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9INDUSTRY, INNOVATION AND INFRASTRUCTURE
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10REDUCED INEQUALITIES
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11SUSTAINABLE CITIES AND COMMUNITIES
2
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12RESPONSIBLE CONSUMPTION AND PRODUCTION
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13CLIMATE ACTION
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14LIFE BELOW WATER
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15LIFE ON LAND
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16PEACE, JUSTICE AND STRONG INSTITUTIONS
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17PARTNERSHIPS FOR THE GOALS
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11
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48
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19
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13
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29/66
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6
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WoS Citation Count
23
Scopus Citation Count
35
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WoS Citations per Publication
1.21
Scopus Citations per Publication
1.84
Open Access Source
8
Supervised Theses
6
| Journal | Count |
|---|---|
| Neural Computing and Applications | 2 |
| Buildings | 1 |
| Iğdır Üniversitesi Fen Bilimleri Enstitüsü Dergisi | 1 |
| Innovative Infrastructure Solutions | 1 |
| Jeoloji Muhendisligi Dergisi | 1 |
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Article Citation - Scopus: 4Cost Efficient Design of Mechanically Stabilized Earth Walls Using Adaptive Dimensional Search Algorithm(Turkish Chamber of Civil Engineers, 2020) Kazemzadeh Azad,S.; Akiş,E.Mechanically stabilized earth walls are among the most commonly used soil-retaining structural systems in the construction industry. This study addresses the optimum design problem of mechanically stabilized earth walls using a recently developed metaheuristic optimization algorithm, namely adaptive dimensional search. For a cost efficient design, different types of steel reinforcement as well as reinforced backfill soil are treated as discrete design variables. The performance of the adaptive dimensional search algorithm is investigated through cost optimization instances of mechanically stabilized earth walls under realistic design criteria specified by standard design codes. The numerical results demonstrate the efficiency and robustness of the adaptive dimensional search algorithm in minimum cost design of mechanically stabilized earth walls and further highlight the usefulness of design optimization in engineering practice. © 2020 Turkish Chamber of Civil Engineers. All rights reserved.Article Sustainable Stabilization of Expansive Soils Using Waste Marble Powder and Expanded Polystyrene Beads: Experimental Evaluation and Predictive Modelling(Elsevier, 2026) Akis, Ebru; Citak, Mete; Lotfi, BahramExpansive soils exhibit considerable volume changes with moisture fluctuations leading to serious challenges for civil infrastructure, causing structural instability, pavement distortion, and foundation damage. While lime and cement remain widely used stabilizers, recent research has increasingly focused on waste-derived materials such as marble powder (MP) and expanded polystyrene beads (EPSb) as promising alternatives. These materials provide a practical approach to soil stabilization while contributing to the reuse of industrial by-products. In this study, the engineering behavior of high-plasticity clay was improved through the inclusion of MP and EPSb as additive materials. MP was added at 0%, 5%, 10%, 15%, and 20%, and EPSb at 0%, 0.3%, and 0.9% by dry weight of the high plasticity clay. Both additives were used alone and in combination. Laboratory tests, including Standard Proctor, free swell (FS), and unconfined compressive strength (UCS), were conducted. The results confirmed that the additives effectively reduced the liquid limit (LL) by 20.1% and the plasticity index (PI) by up to 22.4%. Results showed that EPSb effectively reduced FS and UCS, while MP decreased FS and increased UCS up to an optimal content. The most effective mixes achieved a maximum reduction of 54.7% in free swell (FS) (at 20% MP and 0.9% EPSb content) and a maximum increase of 13.1% in unconfined compressive strength (UCS) (at 5% MP content) compared to the untreated soil. The compaction tests further revealed a general decrease in optimum moisture content (OMC) and a slight increase in maximum dry density (MDD) with increasing MP content. Accordingly, the free swell (FS) and unconfined compressive strength (UCS) of the treated soils were predicted using multiple linear regression (MLR) and artificial neural network (ANN) models, developed from both the current experimental dataset and previously published studies. Input variables included untreated FS and UCS values, additive percentages, and one index property. The ANN model demonstrated superior predictive capability, achieving R2 values of 0.955 and 0.874 for FS and UCS, respectively, compared to 0.411 and 0.618 obtained with MLR. These results highlight the robustness of ANN in capturing nonlinear soil behavior and underscore its reliability and accuracy, particularly under limited data conditions.Article Citation - WoS: 12Citation - Scopus: 13Predictive Models for Mechanical Properties of Expanded Polystyrene (eps) Geofoam Using Regression Analysis and Artificial Neural Networks(Springer London Ltd, 2022) Akis, E.; Guven, G.; Lotfisadigh, B.Initial elastic modulus and compressive strength are the two most important engineering properties for modeling and design of EPS geofoams, which are extensively used in civil engineering applications such as light-fill material embankments, retaining structures, and slope stabilization. Estimating these properties based on geometric and physical parameters is of great importance. In this study, the compressive strength and modulus of elasticity values are obtained by performing 356 unconfined compression tests on EPS geofoam samples with different shapes (cubic or disc), dimensions, loading rates, and density values. Using these test results, the mechanical properties of the specimens are predicted by linear regression and artificial neural network (ANN) methods. Both methods predicted the initial modulus of elasticity (E-i), 1% strain (sigma(1)), 5% strain (sigma(5)), and 10% strain (sigma(10)) strength values on a satisfactory level with a coefficient of correlation (R-2) values of greater than 0.901. The only exception was in prediction of sigma(1) and E-i in disc-shaped samples by linear regression method where the R-2 value was around 0.558. The results obtained from linear regression and ANN approaches show that ANN slightly outperform linear regression prediction for E-i and sigma(1) properties. The outcomes of the two methods are also compared with results of relevant studies, and it is observed that the calculated values are consistent with the results from the literature.Master Thesis Yüksek Plastisiteli Kilin Mermer Tozu ve EPS Danecikleri ile İyileştirilmesinin Deneysel ve Tahmine Dayalı Modellenmesi(2024) Çıtak, Mete; Akış, EbruExpansive soils present a significant challenge in geotechnical engineering due to their reaction with water, which can damage structures built on them. Additives are commonly used to improve these soils. In this study, it is aimed to investigate the effect of the marble powder and expanded polystyrene (EPS) beads on the high plasticity clay. EPS beads and marble powder additives were added to the expansive soil at different ratios. Marble powder was used at the rates of 0%, 5%, 10%, 15%, 20% and EPS beads at the rates of 0%, 0.3%, 0.9% of the dry weight of the soil sample. These materials are used both individually and in combination. Atterberg limits, standard Proctor tests, one-dimensional swell tests (FS) and unconfined compressive strength tests (UCS) are conducted. The test findings indicate that the adding EPS beads decreases FS and UCS. Besides, adding marble powder decreases FS but increases UCS. The combination of 5% marble powder and 0.9% EPS beads produced the most effective results for FS and UCS. A data set was created using both the experimental study results of this study and literature data to be used to estimate FS and UCS values using multiple linear regression (MLR) and artificial neural network (ANN) analyses. In order to preliminary understand how the additives affect the soil samples, empirical equations are generated using MLR methods. Then, ANN is applied to predict the treated soil samples' FS and UCS values. The results obtained from both methods are discussed.Article Citation - WoS: 1Citation - Scopus: 1The Effect of Group Behavior on the Pull-Out Capacity of Model Soil Nails in High Plasticity Clay(Springer int Publ Ag, 2024) Akis, Ebru; Bakir, Bahadir Sadik; Yilmaz, Mustafa TolgaSoil nailing technique is widely used in stabilizing roadway and tunnel portal cut excavations. The key parameter in the design of soil nail systems is the pull-out capacity. The pull-out capacity of soil nails can be estimated either from the studies involving similar soil conditions or from the empirical formulas available in the literature. Particularly, it has been documented placing nails closer than a certain minimum distance results in a reduction in the pull-out resistance of a nail placed in sand. However, this requirement has not been discussed for the nail groups located within clay formations. In order to investigate the influence of nail spacing on the pull-out resistance of nails, a series of laboratory pull-out experiments were performed in clay of high plasticity. The results of these experiments showed a remarkable trend. Specifically, there was a significant reduction in the pull-out capacity of a nail when the spacing between nails two times the nail diameter (2 & Oslash;). In contrast, the pull-out capacity of a nail embedded in clay remained unaffected by neighboring nails, provided the spacing was maintained at six times the nail diameter (6 & Oslash;). In addition, during the conducted pull-out tests, it was observed that the failure mode of a single nail and 6 & Oslash; spaced group nails near the surface results as heaving around the single nail. However, in the case of closely positioned (2 & Oslash; spaced) nails, the affected area following nail failure exhibits distinct characteristics, which operate as a group. This leads to the occurrence of failure in the form of heaving around the group of nails.Master Thesis Killi Zeminlerde Katkı Maddesi Olarak Cam Tozu ve Genleştirilmiş Polistren (eps) Kullanılması(2022) Çiğdem, Öykü Yağmur; Akış, Ebruİklim değişikliğinin insan yaşamı üzerindeki etkisinin daha belirgin hale gelmesiyle atık yönetimi önem kazanmaktadır. Bu çalışmada, atık malzemelerin yüksek plastisiteli kil zemin iyileştirmesi üzerindeki etkisinin araştırılması amaçlanmıştır. Atık malzeme olarak, katı atıklar arasında en düşük dönüşüm oranına sahip olan cam tozu (%4.43) ve genleştirilirmiş polistiren (EPS) (%4.47) seçilmiştir. Cam tozu ve EPS, tek tek ve birlikte kullanılarak zemin parametreleri üzerindeki etkisi Atterberg limit, standart proktor, şişme yüzdesi tayini ve serbest basınç testleri yürütülerek değerlendirilmiştir. Katkı yüzdeleri, EPS için kuru numune ağırlığının %0.3, %0.9 ve %2'si olarak seçilirken, cam tozu için kuru numune ağırlığının %2, %4 ve %6'sı olarak belirlenmiştir. Test sonuçları, katkı maddesi olarak sadece cam tozu kullanıldığında malzemenin serbest basınç dayanımında artışa ve şişme yüzdelerinde azalışa neden olduğunu göstermiştir. Ancak, sadece EPS kullanıldığında hem şişme yüzdeleri hem de serbest basınç dayanımı değerlerinde azalma görülmüştür. Her iki katkı malzemesinin %4 cam tozu ve %0.9 EPS olarak belirlenmesi durumunda ise dayanım ve şişme yüzdesi en etkili iyileştirme ile sonuçlanmıştır. Deneysel çalışmaya ek olarak, bu çalışmadan elde edilen veriler ve literatürdeki benzer çalışmaların sonuçları ile veri dosyaları oluşturulmuştur. Söz konusu veriler kullanılarak regresyon analizi ve Yapay Sinir Ağları (YSA) analizleri yürütülmüştür.Article Yüksek Plastisiteli Killerde Rezidüel Kayma Direncinin Direkt Kesme Deneyi Sonuçları Kullanılarak Tayin Edilmesi(2021) Akış, EbruHeyelanlar doğal afet sayılarının afet türlerine göre dağılımı dikkate alındığında %45 ile en sık karşılaşılan doğa olaylarıdır.Heyelan çözüm projelerinin yapılabilmesi için heyelan sırasında kayma düzleminde oluşan rezidüel kayma dayanımıparametrelerinin gerçeğe en yakın şekilde tahmin edilmesi gerekir. Söz konusu parametreler, tekrarlı direkt kesme ve halka kesmedeneyleri yapılarak tayin edilebildiği gibi, geri analiz ya da zeminin fiziksel özellikleri yardımıyla literatürdeki korelasyonlarkullanılarak da öngörülebilmektedir. Kayma dayanımı parametreleri geri analiz yöntemi kullanılarak tayin edilirken, yeraltı suyudurumunun rezidüel kayma dayanımı değerlerini direkt olarak etkilediği bilinmektedir. Ayrıca, heyelan sırasındaki yeraltı suyudurumunun gerçeğe yakın olarak öngörülmesinin zorluğu aşikârdır. Öte yandan, literatürden elde edilen rezidüel kayma dayanımıparametreleri oldukça geniş bir aralıkta sonuçlar verebilmektedir. Tüm bunların yanı sıra, halka kesme deneyleri laboratuvarlardayaygın olarak yapılmamakta, yaygın olarak yapılan tekrarlı direkt kesme deneylerinin ise zemin cinsine bağlı olarak çok düşükhızlarda yapılması gerekebilmektedir. Bu sebeple, deney süresi deneylerin pratikte kullanımını olumsuz yönde etkilemektedir.Yukarıda belirtilen kısıtlamaların çerçevesinde bu çalışmada normal konsolide ve yüksek plastisiteli killerde pik ve rezidüel kaymadirenci açıları arasındaki ilişki incelenmiştir. Araştırmanın ilk kısmında ülkemiz literatüründeki çalışmaların sonuçlarıdeğerlendirilerek, kalıcı kayma direnci ile zemin indeks ve pik kayma direnci arasında ampirik bağıntılar öngörülmüştür. Dahasonra, örselenmiş yüksek plastisiteli kil numunelerle tekrarlı direkt kesme deneyleri yapılmış, elde edilen sonuçlar ile önerilenbağıntılar karşılaştırılmıştır.Article Eps Daneciklerinin Ve/veya Cam Tozunun Killi Zeminlerin Kıvam Limitlerine Etkisi ve Limitlerin Ysa ve Regresyon ile Tahmin Edilmesi(2023) Akış, Ebru; Çiğdem, Öykü YağmurZeminlerin kıvam özellikleri, zeminlerin sınıflandırmasında ve parametrelerinin tahmin edilmesinde önemli bir araçtır. Bu çalışmanın ilk bölümünde atık malzeme ile iyileştirilen killi zeminin kıvam limitlerinde meydana gelen değişiklikler deneysel olarak incelenmiştir. Çalışmada birleştirilmiş zemin sınıflamasına göre yüksek plastisiteli kil olan bentonit kullanılmıştır. Bentonit, yalnız atık cam tozu, yalnız atık genleştirilmiş polistiren (EPS) daneleri ve her iki katkı malzemesinin farklı oranlarda kullanılmasıyla iyileştirilmiş ve likit limit ve plastik limit deneyleri yapılmıştır. Çalışmanın ikinci bölümünde ise bu çalışmada elde edilen sonuçlar ile literatürdeki benzer çalışmaların deney sonuçları kullanılarak cam tozu ve/veya EPS daneleriyle iyileştirilen zeminlerin kıvam limitleri için 65 veri derlenmiştir. Bu verilerin %80’i eğitim veri seti, %20’si doğrulama veri seti olarak kullanılmak üzere düzenlenmiştir. Çoklu lineer regresyon yöntemiyle ampirik bağıntılar, eğitim veri seti kullanılarak elde edilmiştir. Yine, aynı veri seti yapay sinir ağları yönteminde kullanılmış ve algoritma eğitilmiştir. Her iki yöntem, doğrulama veri seti ile çalıştırılmış ve sonuçlar karşılaştırılmıştır. Her iki yöntemde de eğitim ve doğrulama veri setlerinden elde edilen determinasyon katsayıları oldukça yüksek olup iyileştirilmiş killerin kıvam limitlerinin gerçeğe yakın tahmin edileceği düşünülmektedir. Ayrıca, yapay sinir ağları yöntemi ile elde edilen sonuçların seçilen veri setlerinden bağımsız olduğunu kontrol etmek amacıyla, öğrenme yöntemlerinde genellikle uygulanan bir yaklaşım olan çapraz geçerlilik testi yapılarak çalışmada kullanılan algoritmanın geçerliliği test edilmiştir. Bu çalışma sonucunda, atık cam tozu ve/veya atık EPS daneleriyle iyileştirilen killi zeminlerin kıvam limitlerinin tahmin edilmesinde kullanılmak üzere ampirik bağıntılar ve yapay sinir ağları yöntemi önerilmektedirArticle Citation - Scopus: 6Predictive Models for Treated Clayey Soils Using Waste Powdered Glass and Expanded Polystyrene Beads Using Regression Analysis and Artificial Neural Network(Springer Science and Business Media Deutschland GmbH, 2024) Akis,E.; Akış, Ebru; Cigdem,O.Y.; Akış, Ebru; Civil Engineering; Civil EngineeringWaste materials contribute to a wide range of environmental and economic problems. To minimize their effects, a safe strategy for reducing such negative impact is required. Recycling and reusing waste materials have proved to be effective measures in this respect. In this study, an eco-friendly treatment is investigated based on using waste powdered glass (WGP) and EPS beads (EPSb) as mechanical and chemical admixers in soils. For this purpose, Atterberg limit, standard proctor, free swell, and unconfined compression tests are performed on soil samples with different ratios of waste materials at their optimum moisture contents. The obtained test results indicate that adding WGP to cohesive soils increases the unconfined compressive strength (UCS) and reduces free swell (FS). In contrast, using EPSb reduces both FS and UCS of the treated soil samples. An optimum combination of both waste materials is determined for the improvement of the properties of high plasticity clay used in this study. Furthermore, multiple linear regression (MLR) and artificial neural network (ANN) methods are used to predict the FS and UCS of the clayey soils based on the data obtained here and the experimental test results reported in the literature. Once the FS and UCS values of untreated soil and additive percentages are defined as independent variables, both methods are shown to predict the FS and UCS values of the treated soil samples on a satisfactory level with the coefficient of correlation (R2) values greater than 0.926. Additionally, when only the index properties (liquid limit, plastic limit, and plasticity index) of the soil samples with waste materials are used as dependent variables, the R2 values obtained by the ANN method are 0.968 and 0.974 for FS and UCS, respectively. The results of the untreated soil samples' FS and UCS tests are known, and the linear regression and ANN techniques yield similar results. Lastly, the ANN method is used to predict the FS and UCS of the treated samples in accordance to the limited predictors (e.g., only the Atterberg limits of the soil sample). © The Author(s) 2024.Article Citation - WoS: 2Citation - Scopus: 4Optimum Cost Prediction of Reinforced Concrete Cantilever Retaining Walls(Mdpi, 2023) Akis, EbruReinforced concrete cantilever retaining walls (RCCRWs) are widely used in civil engineering projects as a common type of retaining structure. The design of these structures focuses on ensuring safety against various failure scenarios and compliance with standard building code requirements. This research aims to enhance the design process of RCCRWs by developing a specific code and optimizing it through a metaheuristic-based algorithm. In this study, the cost prediction of RCCRWs is also investigated through a parametric study involving key variables such as wall height, seismic zone, backfill material properties, and backfill inclination angle. To achieve this, non-linear regression analysis is employed to establish an empirical correlation, enabling cost estimation for optimized RCCRWs. The resulting prediction equation is simple to use, requiring only limited inputs. Therefore, it can be applied during the initial stages of a project, making a valuable contribution in determining approximate costs for RCCRW projects.
