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    Assessment of glass fiber-reinforced polyester pipe powder in soil improvement
    (Higher Education Press, 2021) Bagriacik, Baki; Beycioglu, Ahmet; Topolinski, Szymon; Akmaz, Emre; Sert, Sedat; Guner, Esra Deniz
    This study investigates the use of glass fiber-reinforced polyester (GRP) pipe powder (PP) for improving the bearing capacity of sandy soils. After a series of direct share tests, the optimum PP addition for improving the bearing capacity of soils was found to be 12%. Then, using the optimum PP addition, the bearing capacity of the soil was estimated through a series of loading tests on a shallow foundation model placed in a test box. The bearing capacity of sandy soil was improved by up to 30.7%. The ratio of the depth of the PP-reinforced soil to the diameter of the foundation model (H/D) of 1.25 could sufficiently strengthen sandy soil when the optimum PP ratio was used. Microstructural analyses showed that the increase in the bearing capacity can be attributed to the chopped fibers in the PP and their multiaxial distribution in the soil. Besides improving the engineering properties of soils, using PP as an additive in soils would reduce the accumulation of the industrial waste, thus providing a twofold benefit.
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    Öğe
    Assessment of pipe powder in soil improvement applications: an optimization by response surface methodology
    (Springer Heidelberg, 2020) Bagriacik, Baki; Yildirim, Zeynel Baran; Guner, Esra Deniz; Beycioglu, Ahmet
    Experimental design methods have become very popular approaches in engineering studies thanks to providing some advantages to reduce time period of experiments. In this study, shear strength characteristics of sandy soils were investigated by using central composite design (CCD) approach which is one of the response surface methods. Shear box test results performed at different time intervals were used to design CCD. In model application, the effect of time period under constant load (TPUL) and pipe powder (PP) content (8-12-16%) were used as independent factors to observe shear strength characteristics. Regression equations, variance analysis results, and factor interactions of response variables were used as statistical parameters to analyze CCD performance. Experimental results showed that TPUL is a significant parameter. CCD analysis also determined the importance of TPUL and suggested 14 days as the best time period. CCD results also showed that the optimum PP content can be selected as 12%.
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    IMPORTANCE OF TEACHING STATISTICAL OPTIMIZATION IN ENGINEERING EDUCATION: A CASE STUDY ON THE CONTRIBUTION OF A PHD STUDENT FOR A GEOTECHNICAL DESIGN
    (Int Council Materials Education, 2020) Bagriacik, Baki; Yildirim, Zeynel Baran; Beycioglu, Ahmet; Cetin, Suna; Guner, Esra Deniz
    In engineering education, the students are often guided by their advisors to take courses related to their areas of expertise. In addition to the courses related to their areas of expertise, especially in the fields of applied engineering, taking math-based statistics or artificial intelligence courses improves students' analytical thinking skills significantly. For this reason, new perspectives for teaching in engineering education are required. In this study, the importance of teaching mathematically based statistical optimization techniques in engineering education has been discussed through an experimental case study. Within the study, the disposal of Drinking Water Treatment Sludge (DWTS) through its use in sandy soil improvement was studied experimentally and it was discussed whether the sludge usage improves the engineering properties of sandy soils. Besides, the experimental process of this research was supported by a Response Surface Methodology (RSM) analysis, thanks to the knowledge of a Ph.D. student. The RSM studied by Ph.D. students aims to suggest a useful approach to decrease laboratory efforts considering the difficulties of laboratory studies. It has been observed that the results found experimentally and calculated by a Ph.D. student are very close to each other, and the approach suggested by a Ph.D. student can be a useful way to decrease laboratory experiments. It can be concluded from this applied research that statistical knowledge gives strong advantages to engineers for reducing labor efforts, gaining time and having economic advantages. As a result, teaching some statistical approaches to engineering students is very useful for their professional lives.