Pouyan PressJournal of Soft Computing in Civil Engineering2588-28722120180101Fuzzy Vibration Suppression of a Smart Elastic Plate Using Graphical Computing Environment1175065110.22115/scce.2018.50651ENAliki MuradovaSchool of Production Engineering and Management, Technical University of Crete, Chania, GreeceGeorgios TairidisSchool of Production Engineering and Management, Technical University of Crete, Chania, GreeceGeorgios StavroulakisSchool of Production Engineering and Management, Technical University of Crete, Chania, Greece0000-0001-9199-2110Journal Article20170811A nonlinear model for the vibration suppression of a smart composite elastic plate using graphical representation involving fuzzy control is presented. The plate follows the von Kármán and Kirchhoff plate bending theories and the oscillations are caused by external transversal loading forces, which are applied directly on it. Two different control forces, one continuous and one located at discrete points, are considered. The mechanical model is spatially discretized by using the time spectral Galerkin and collocation methods. The aim is to suppress vibrations through a simulation process within a modern graphical computing environment. Here we use MATLAB/SIMULINK, while other similar packages can be used as well. The nonlinear controller is designed, based on an application of a Mamdani-type fuzzy inference system. A computational algorithm, proposed and tested here is not only effective but robust as well. Furthermore, all elements of the study can be replaced or extended, due to the flexibility of the used SIMULINK environment.https://www.jsoftcivil.com/article_50651_970f5dbefc8177412753661b2cc6f35b.pdfPouyan PressJournal of Soft Computing in Civil Engineering2588-28722120180101Development of MLR, ANN and ANFIS Models for Estimation of PCUs at Different Levels of Service18355003610.22115/scce.2018.50036ENSeelam SrikanthResearch Scholar, Department of Civil Engineering, National Institute of Technology, Warangal, India0000-0001-9685-5772Arpan MeharAssistant Professor, Department of Civil Engineering, National Institute of Technology, Warangal, IndiaJournal Article20170726Passenger car unit (PCU) of a vehicle type depends on vehicular characteristics, stream characteristics, roadway characteristics, environmental factors, climate conditions and control conditions. Keeping in view various factors affecting PCU, a model was developed taking a volume to capacity ratio and percentage share of particular vehicle type as independent parameters. A microscopic traffic simulation model VISSIM has been used in present study for generating traffic flow data which some time very difficult to obtain from field survey. A comparison study was carried out with the purpose of verifying when the adaptive neuro-fuzzy inference system (ANFIS), artificial neural network (ANN) and multiple linear regression (MLR) models are appropriate for prediction of PCUs of different vehicle types. From the results observed that ANFIS model estimates were closer to the corresponding simulated PCU values compared to MLR and ANN models. It is concluded that the ANFIS model showed greater potential in predicting PCUs from v/c ratio and proportional share for all type of vehicles whereas MLR and ANN models did not perform well.https://www.jsoftcivil.com/article_50036_ff95c3d023125ed9a04116628ca0113d.pdfPouyan PressJournal of Soft Computing in Civil Engineering2588-28722120180101Structural Response of Reinforced Self-Compacting Concrete Deep Beam Using Finite Element Method36615011510.22115/scce.2018.50115ENMutiu AkinpeluLecturer, Department of Civil Engineering, College of Engineering and Technology, Kwara State University, Malete, Kwara State, Nigeria0000-0003-4681-9874Adeola A.AdedejiProfessor, Department of Civil Engineering, Faculty of Engineering and Technology, Ilorin, NigeriaJournal Article20170801Analysis of reinforced concrete deep beam is based on simplified approximate method due to the complexity of the exact analysis. The complexity is due to a number of parameters affecting its response. To evaluate some of this parameters, finite element study of the structural behavior of the reinforced self-compacting concrete deep beam was carried out using Abaqus finite element modeling tool. The model was validated against experimental data from the literature. The parametric effects of varied concrete compressive strength, vertical web reinforcement ratio and horizontal web reinforcement ratio on the beam were tested on eight (8) different specimens under four points loads. The results of the validation work showed good agreement with the experimental studies. The parametric study revealed that the concrete compressive strength most significantly influenced the specimens’ response with the average of 41.1% and 49 % increment in the diagonal cracking and ultimate load respectively due to doubling of concrete compressive strength. Although the increase in horizontal web reinforcement ratio from 0.31 % to 0.63 % lead to average of 6.24 % increment on the diagonal cracking load, it does not influence the ultimate strength and the load-deflection response of the beams. Similar variation in vertical web reinforcement ratio leads to an average of 2.4 % and 15 % increment in cracking and ultimate load respectively with no appreciable effect on the load-deflection response.https://www.jsoftcivil.com/article_50115_b6f9eaed9428133113caccef39c8bba7.pdfPouyan PressJournal of Soft Computing in Civil Engineering2588-28722120180101Application of ANN and ANFIS Models in Determining Compressive Strength of Concrete62705111410.22115/scce.2018.51114ENZahra KeshavarzGraduate Student, Department of Civil Engineering, Islamshahr Branch, Islamic Azad University Islamshahr, Iran0000-0002-8067-5053Hojjatollah TorkianFaculty Member, Department of Civil Engineering, Islamshahr Branch, Islamic Azad University Islamshahr, IranJournal Article20170915Concrete compressive strength is recognized as one of the most important mechanical properties of concrete and one of the most significant mechanical properties in determining the quality of the produced concrete. Since the traditional procedures of determining the compressive strength of concrete require time and cost, scholars have always been looking for new methods to replace them with existing traditional methods. In this paper, soft computing methods are investigated for determining the compressive strength of concrete. To be specific, 150 different concrete specimens with various mix design parameters have been built in the laboratory, and the compressive strength of them have been measured after 28 days of curing in the water. Five different concrete mix parameters, (i.e., cement, water to cement ratio, gravel, sand, and microsilica) were considered as input variables. In addition, two soft computing techniques have been used in this study which are Artificial Neural Network (ANN) and Adaptive Neuro-Fuzzy Inference (ANFIS) System. Results have shown that both of ANN and ANFIS models are successful models for predicting the compressive strength of concrete. Also, results have shown that ANFIS is more capable than ANN in predicting the compressive strength of concrete.https://www.jsoftcivil.com/article_51114_471d8ba288d32ac184bfa5938cc91006.pdfPouyan PressJournal of Soft Computing in Civil Engineering2588-28722120180101Flexural Analysis of Deep Aluminum Beam71844967910.22115/scce.2018.49679ENAjay DahakeAssociate Professor and Head, Civil Engineering Department, Maharashtra Institute of Technology, Aurangabad (M. S.), India0000-0001-9349-2857Pravin KapdisCivil Engineering Department, Shreeyash College of Engineering and Technology, Aurangabad, (M. S.), IndiaUttam KalwaneCivil Engineering Department, Shreeyash College of Engineering and Technology, Aurangabad, (M. S.), IndiaUmesh SalunkheCivil Engineering Department, Shreeyash College of Engineering and Technology, Aurangabad, (M. S.), IndiaJournal Article20170823Many parts of spacecraft, airplanes are made up of aluminum, due to its property of less density, which is deep in sections. For the analysis of deep parts of any structure, a shear deformation theory using the trigonometric sinusoidal function in displacement field in terms of thickness coordinate is developed to obtain the shear deformation effects. The shear stresses are obtained from the use of constitutive equations with outstanding accuracy, satisfying the zero shear stress at the both, top and bottom of beams. Also, the theory not requires the shear correction factor. By using the principle of virtual work, the governing differential equations and boundary conditions are obtained. A deep aluminum beam is assumed subjected to a cosine load for the analytical study to show the accuracy of the theory. The results are compared with other theories.https://www.jsoftcivil.com/article_49679_072938d3c0498729e7eac06f472cc9eb.pdfPouyan PressJournal of Soft Computing in Civil Engineering2588-28722120180101Cone Penetration Based Probabilistic Assessment of Shallow Foundation Settlement851005111510.22115/scce.2018.51115ENSalahudeen AnigilajeBunyaminSamaru College of Agriculture, Division of Agricultural Colleges, Ahmadu Bello University, Zaria, Nigeria0000-0002-4820-5094Journal Article20170726Probabilistic (Reliability or safety) analysis, as a measure of structural performance, was expressed in terms of reliability indices which were calculated for a total settlement of shallow foundations in a Site in Abuja, the Federal Capital of the Federal Republic of Nigeria based on the Burland and Burbidge settlement prediction method. Reliability indices were calculated with the objective of developing a risk analysis procedure specifically for prediction of the settlement of foundations lying on soils. This research was aimed at the development of a method that will assist in the process of calibration of load and resistance factors (reliability-based design (RBD)) for service limit state based on cone penetration test (CPT) results. The CPT data were obtained from four test holes (CPT1 - 4) at three foundation embedment depths of 0.6, 1.2 and 1.8 m and analysis was done using applied foundation pressures of 50, 100, 200, 300 and 500 kN/m<sup>2</sup>. Reliability analysis, expressed in the form of reliability index (β) and the probability of failure (p <sub>f</sub>) was performed for foundation settlement using the First Order Reliability Method (FORM) in MATLAB. The footings were designed for a 25 mm allowable settlement value as recommended in Eurocode 7 for serviceability limit state (SLS) design which is a conventional approach. Sensitivity study indicated that the applied foundation pressure and coefficient of variation (COV) of CPT tip resistance significantly affected the magnitude of foundation settlements and the variability of the geotechnical parameters is highly influenced and has a significant effect on the settlement and safety of any structure. The use of COV value of 30 % of CPT tip resistance which corresponds to target reliability index (β<sub>T</sub>) of 4.52 and target probability of failure (p <sub>fT</sub>) of 0.000677% based on the Burland and Burbidge method for SLS design is recommended for RBD of footings total settlement on soils in Abuja, Nigeria.https://www.jsoftcivil.com/article_51115_54c0fd1f6eb1dd7ccfa389dfc7d15ad0.pdfPouyan PressJournal of Soft Computing in Civil Engineering2588-28722120180101Selection of an Appropriate Method to Extract the Dimensional Stones Using FDAHP & TOPSIS Techniques1011165399710.22115/scce.2018.53997ENAkbar EsmailzadehUrmia University of Technology, Urmia, Iran0000-0002-8633-9683Reza MikaeilUrmia University of Technology, Urmia, Iran0000-0001-8404-3216Golsa SadegheslamUrmia University of Technology, Urmia, IranAhmad AryafarUniversity of Birjand, Birjand, IranHojjat Hosseinzadeh GharehgheshlaghUrmia University of Technology, Urmia, Iran0000-0002-7763-9596Journal Article20170924In this paper, it was aimed to select a suitable method to extract the dimensional stone to increase dimensional stone quarries efficiency. The usual methods including diamond cutting-wire method, blasting method, plug, and feather method, Katrock expanding material and Fract expanding material have compared using TOPSIS (Technique for Order Performance by Similarity to Ideal Solution) method by respecting to the following criteria: grass income, safety, desirability, reduction of environmental impacts, waste and reduction of extracting time. FDAHP (Fuzzy Delphi Analytic Hierarchy Process) approach was used in determining the degree of importance of the criteria by expert decision makers. Also, those criteria performed the same impacts were not considered. Consequently, the diamond wire saw method was suggested as the most appropriate method to extract the dimensional stones. It was concluded that the extraction of dimensional stone using diamond wire saw is the best method based on the mentioned criterion compared to other methods.https://www.jsoftcivil.com/article_53997_985e8bca7bb8a682aa54fc9f689590fe.pdf