Akış, Ebru
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A., Ebru 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
Main Affiliation
Civil Engineering
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Scopus Author ID
Turkish CoHE Profile ID
Google Scholar ID
WoS Researcher ID
Research Topics
Domains
Physical Sciences
Fields
Engineering
Subfields
Safety, Risk, Reliability and QualityCivil and Structural Engineering
Specific Research Areas
Geotechnical Engineering and Analysis
Geotechnical Engineering and Soil Stabilization
Geotechnical Engineering and Underground Structures
Concrete and Cement Materials Research
Seismic Performance and Analysis
Sustainable Development Goals
1NO POVERTY
0
Research Products
2ZERO HUNGER
0
Research Products
3GOOD HEALTH AND WELL-BEING
0
Research Products
4QUALITY EDUCATION
0
Research Products
5GENDER EQUALITY
0
Research Products
6CLEAN WATER AND SANITATION
0
Research Products
7AFFORDABLE AND CLEAN ENERGY
0
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8DECENT WORK AND ECONOMIC GROWTH
0
Research Products
9INDUSTRY, INNOVATION AND INFRASTRUCTURE
1
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10REDUCED INEQUALITIES
0
Research Products
11SUSTAINABLE CITIES AND COMMUNITIES
2
Research Products
12RESPONSIBLE CONSUMPTION AND PRODUCTION
1
Research Products
13CLIMATE ACTION
0
Research Products
14LIFE BELOW WATER
0
Research Products
15LIFE ON LAND
0
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16PEACE, JUSTICE AND STRONG INSTITUTIONS
1
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17PARTNERSHIPS FOR THE GOALS
0
Research Products
Documents
11
Citations
50
h-index
4
Documents
0
Citations
0
Publication Collaboration
| Affiliation Name | Count |
|---|---|
| Atilim University | 5 |
| Middle East Technical University | 3 |
| Çevre, Şehircilik ve İklim Değişikliği Bakanlığı | 2 |
| General Directorate of Highways | 1 |
| Omar Al-Mukhtar University | 1 |
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Data obtained from OpenAlex
Scholarly Output
18
Articles
13
Views / Downloads
32/84
Supervised MSc Theses
5
Supervised PhD Theses
0
WoS Citation Count
25
Scopus Citation Count
37
Patents
0
Projects
0
WoS Citations per Publication
1.39
Scopus Citations per Publication
2.06
Open Access Source
8
Supervised Theses
5
| 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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18 results
Scholarly Output Search Results
Now showing 1 - 10 of 18
Article Citation - WoS: 13Citation - Scopus: 14Predictive Models for Mechanical Properties of Expanded Polystyrene (eps) Geofoam Using Regression Analysis and Artificial Neural Networks(Springer London Ltd, 2022-03-13) 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.Article Yüksek Plastisiteli Killerde Rezidüel Kayma Direncinin Direkt Kesme Deneyi Sonuçları Kullanılarak Tayin Edilmesi(2021-03-01) 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 Citation - WoS: 3Cost Efficient Design of Mechanically Stabilized Earth Walls Using Adaptive Dimensional Search Algorithm(Turkish Chamber Civil Engineers, 2020-07-01) Azad, Saeid Kazemzadeh; Akış, Ebru; Kazemzadeh Azad, SaeidMechanically 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.Article Eps Daneciklerinin Ve/veya Cam Tozunun Killi Zeminlerin Kıvam Limitlerine Etkisi ve Limitlerin Ysa ve Regresyon ile Tahmin Edilmesi(2023-03-01) 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 önerilmektedirReview Citation - Scopus: 1Underground Structures, Rock Structures and Rock Mechanics From Ancient Era To the Modern Age;(TMMOB - Jeoloji Muhendisleri Odasi, 2017-12-15) Akiş,E.; Satici,Ö.Usage of underground space is an old habit for human beings since ancient era. Our ancestors have used caves as a shelter for protection from the wild life and nature, and they excavated caves to extract valuable minerals. They also used them as sanctuaries, tombs or for storage of goods. In addition, they built tunnels to be used as assault systems or to underpass fortifications during ancient warfare. Later on, tunnels were driven to supply water to the towns or to protect the towns from floods. They also built them for communication purposes. Though not knowing the exact time when they were first used, natural underground structures which have several interconnections were also built for underground dwelling purposes through the human history. In the following centuries, due to the need of transportation facilities, transportation tunnels were constructed where new excavation techniques were also used. Navigation canal tunnels, railway tunnels and road tunnels were constructed during that period. All these structures were mostly excavated in rocks. The first excavations were performed manually. Later on, fire technique had been used to excavate more easily. This was followed by the methods in which gunpowder, explosives and tunneling machinery were used. By some means or other, ancient civilizations had used fundamental principles of rock mechanics and applied these principles in the construction of the underground structures. Principles of rock mechanics are the sine qua non for all of these structures and facilities. In this review paper, the history and evaluation of rock mechanics will be given briefly and some examples of historical and monumental underground and rock structures will be presented. © 2017, TMMOB - Jeoloji Muhendisleri Odasi. All rights reserved.Article 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, 2024-05-21) 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, 2023-09-22) 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.Article Citation - WoS: 5Citation - Scopus: 6Investigation of the Effect of Shearing Rate on Residual Strength of High Plastic Clay(Springer Heidelberg, 2020-01) Akis, Ebru; Mekael, Ahmad; Yilmaz, Mustafa TolgaThe residual shear strength on failure plane is a crucial parameter to be estimated for analysis of an active landslide. This strength must be determined precisely to build a reliable theoretical model for calculations. The multi-reversal direct-shear test is a practical method to determine this shear strength in laboratory due to wider availability of apparatus. The shearing rate is among the factors that significantly affect the precision of test results for clay specimens. However, limits for this rate are yet to be clarified to shorten the duration of multi-reversal direct-shear tests. In this study, two tests series at different shearing rates were performed to investigate the effect of shearing rate on the residual strength of highly plastic clay sample recovered from a landslide area in Northern Turkey. The shearing rates were set to 0.024 mm/min which was decreased to 0.001 mm/min during the last forward shearing phase for the first test series, whereas the rate was fixed to 0.0007 mm/min for the second test series. The residual friction angle determined by these tests was interpreted by using a theoretical analysis of the landslide, and they were compared with the estimations due to empirical relationships given in the literature. It is concluded that, although the rate of 0.024 mm/min is consistent with the recommendations in literature, this rate can yield overestimation of residual shear strength determined in multi-reversal direct-shear tests.Article İlk Çağlardan Günümüze Yer Altı Yapıları, Kaya Yapıları ve Kaya Mekaniği(2017) Akış, Ebru; Satıcı, ÖzgürYer altındaki alanların kullanımı insanlar için antik dönemlere uzanan eski bir alışkanlıktır. Atalarımız, mağaraları vahşi hayattan korunmak için barınak olarak kullandılar, ayrıca değerli mineralleri çıkarmak için kazarak yer altı boşlukları oluşturdular. Bu boşlukları kutsal alan, mezar veya depo olarak kullandılar. Bu kullanım amaçlarına ek olarak, savaşlar sırasında saldırı veya surları geçmek amacıyla tüneller inşa ettiler. Daha sonraları, tüneller yerleşim yerlerine su getirmek veya söz konusu alanları selden korumak amacıyla yapıldı. İlk kez ne zaman kullanıldıkları bilinmemekle birlikte, birbirleriyle bağlantılı olarak inşa edilen yer altı yapıları insanlık tarihi boyunca barınma amacıyla da kullanıldı. Sonraki yüzyıllarda, ulaşım sistemlerine duyulan ihtiyaç nedeniyle yeni kazı tekniklerinin kullanıldığı ulaşım ve iletim tünelleri inşa edildi. Bu dönemde, çoğunluğu kaya ortamda yer alan su geçişi tünelleri, demiryolu tünelleri ve karayolu tünelleri yapıldı. İlk kazılar elle yapılmış olup, daha sonra kolay kazmak için ateşin kullanıldığı bilinmektedir. Bu tekniği, barut, patlayıcılar ve tünel açma makinaları takip etmiştir. Şu veya bu şekilde, eski uygarlıklar kaya mekaniğinin temel prensiplerini kullanmış ve bu prensipleri yer altı yapılarının inşasında uygulamışlardır. Kaya mekaniğinin prensipleri, tüm bu yapıların olmazsa olmaz unsurudur. Bu derlemede, kaya mekaniğinin tarihçesi kısaca anlatılacak, tarihi ve anıtsal yer altı ve kaya yapılarından örnekler sunulacaktırArticle Sustainable Stabilization of Expansive Soils Using Waste Marble Powder and Expanded Polystyrene Beads: Experimental Evaluation and Predictive Modelling(Elsevier, 2026-01) 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.