Pouyan Press
Journal of Soft Computing in Civil Engineering
2588-2872
2
1
2018
01
01
Fuzzy Vibration Suppression of a Smart Elastic Plate using Graphical Computing Environment
1
17
EN
Aliki
Muradova
School of Production Engineering and Management, Technical University of Crete, Chania, Greece
aliki@mred.tuc.gr
Georgios
Tairidis
School of Production Engineering and Management, Technical University of Crete, Chania, Greece
tairidis@gmail.com
Georgios
Stavroulakis
0000-0001-9199-2110
School of Production Engineering and Management, Technical University of Crete, Chania, Greece
gestavr@dpem.tuc.gr
10.22115/scce.2018.50651
A 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. Our 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.
Smart plate model,Spatial discretization,fuzzy control,Computational algorithm,SIMULINK diagrams
http://www.jsoftcivil.com/article_50651.html
http://www.jsoftcivil.com/article_50651_cf628d88c4bab9c5b680c3e7c5a60b5c.pdf
Pouyan Press
Journal of Soft Computing in Civil Engineering
2588-2872
2
1
2018
01
01
Development of MLR, ANN and ANFIS Models for Estimation of PCUs at Different Levels of Service
18
35
EN
Seelam
Srikanth
0000-0001-9685-5772
Research Scholar, Department of Civil Engineering, National Institute of Technology, Warangal, India
ssseelamsrikanth@gmail.com
Arpan
Mehar
Assistant Professor, Department of Civil Engineering, National Institute of Technology, Warangal, India
arpanmehr400@gmail.com
10.22115/scce.2018.50036
Passenger 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 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.
PCU,MLR,ANN,ANFIS
http://www.jsoftcivil.com/article_50036.html
http://www.jsoftcivil.com/article_50036_14d480c4b6c292771f565646ab8f5687.pdf
Pouyan Press
Journal of Soft Computing in Civil Engineering
2588-2872
2
1
2018
01
01
Structural Response of Reinforced Self-Compacting Concrete Deep Beam using Finite Element Method
36
61
EN
Mutiu
Akinpelu
Lecturer, Department of Civil Engineering, College of Engineering and Technology, Kwara State University, Malete, Kwara State, Nigeria
mutiu.akinpelu@kwasu.edu.ng
Adeola
A.
Adedeji
Department of Civil Engineering, University of Ilorin, Ilorin, Nigeria
aaadeji@unilorin.edu.ng
10.22115/scce.2018.50115
Analysis 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 behaviour of reinforced self-compacting concrete deep beam was carried out using Abaqus finite element modeling tool. The model was validated against experimental data from 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 point 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 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 lead to average of 2.4 % and 15 % increment in cracking and ultimate load respectively with no appreciable effect on the load deflection response.
Self-Compacting Concrete,Deep beam,Concrete damage plasticity,FEM
http://www.jsoftcivil.com/article_50115.html
http://www.jsoftcivil.com/article_50115_8d2518e02c8b9f6efc7419cb1e7f3753.pdf
Pouyan Press
Journal of Soft Computing in Civil Engineering
2588-2872
2
1
2018
01
01
Application of ANN and ANFIS Models in Determining Compressive Strength of Concrete
62
70
EN
Zahra
Keshavarz
0000-0002-8067-5053
Graduate Student, Department of Civil Engineering, Islamshahr Branch, Islamic Azad University Islamshahr, Iran
zahrakeshavarz.88@gmail.com
Hojjatollah
Torkian
Faculty Member, Department of Civil Engineering, Islamshahr Branch, Islamic Azad University Islamshahr, Iran
hodjat.torkian@gmail.com
10.22115/scce.2018.51114
Concrete 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.
Compressive strength,Artificial Neural Network,Adaptive Neuro Fuzzy Inference System,Prediction models
http://www.jsoftcivil.com/article_51114.html
http://www.jsoftcivil.com/article_51114_7e1f30e53b1d69cbf043f67adaf0121b.pdf
Pouyan Press
Journal of Soft Computing in Civil Engineering
2588-2872
2
1
2018
01
01
Flexural Analysis of Deep Aluminum Beam
71
84
EN
Ajay
Dahake
0000-0001-9349-2857
Maharashtra Institute of technology, Aurangabad (Maharashtra), India
ajaydahake@gmail.com
Pravin
Kapdis
Shreeyash College of Engineering, Aurangabad, India
pravinskapdis73@gmail.com
Uttam
Kalwane
Shreeyash College of Engineering, Aurangabad, India
kalwane62@gmail.com
Umesh
Salunkhe
Shreeyash College of Engineering, Aurangabad, India
umeshcivil@gmail.com
10.22115/scce.2018.49679
Many parts of spacecrafts, airplane are made up of aluminum, which are thick or deep in section. For the analysis of deep or thick beams, a trigonometric shear deformation theory is used, taking into account transverse shear deformation effects, is developed. To represent the shear deformation effects, a sinusoidal function is used in displacement field in terms of thickness coordinate. The important feature of this theory is that the transverse shear stresses can be obtained directly from the use of constitutive relations with excellent accuracy, satisfying the shear stress conditions on the end surfaces of the beam. Hence, the theory obviates the need of shear correction factor. Using the principle of virtual work governing differential equations and boundary conditions are obtained. The thick aluminum beam is considered for the numerical study to show the accuracy of the theory. The cantilever beam subjected to cosine loads is examined using the present theory. Results obtained are discussed with those of other theories.
Deep beam,Trigonometric shear deformation,Principle of virtual work,Equilibrium equations,Aluminum
http://www.jsoftcivil.com/article_49679.html
http://www.jsoftcivil.com/article_49679_0e4ca02007a3c2724d84dcc111d7d45f.pdf
Pouyan Press
Journal of Soft Computing in Civil Engineering
2588-2872
2
1
2018
01
01
Cone Penetration Based Probabilistic Assessment of Shallow Foundation Settlement
85
100
EN
Salahudeen
Anigilaje
Bunyamin
0000-0002-4820-5094
Samaru College of Agriculture, Division of Agricultural Colleges, Ahmadu Bello University, Zaria, Nigeria
basalahudeen@gmail.com
10.22115/scce.2018.51115
Probabilistic (Reliability or safety) analysis, as a measure of structural performance, was expressed in terms of reliability indices which were calculated for 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 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 probability of failure (P<sub>f</sub>) was performed for foundation settlement using 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.
Foundation settlement,reliability analysis,Safety index,probability of failure,Reliability-based design,Cone penetration test
http://www.jsoftcivil.com/article_51115.html
http://www.jsoftcivil.com/article_51115_3c88c026c889adc9329c5392349599cf.pdf
Pouyan Press
Journal of Soft Computing in Civil Engineering
2588-2872
2
1
2018
01
01
Selection of an Appropriate Method to Extract the Dimensional Stones Using FDAHP & TOPSIS Techniques
101
116
EN
Akbar
Esmailzadeh
Mining and metallurgical department, Urmia university of Technology.
esmailzade.ak@aut.ac.ir
Reza
Mikaeil
0000-0001-8404-3216
Department of Mining and Metallurgical Engineering, Urmia University of Technology, Urmia, Iran
reza.mikaeil@uut.ac.ir
Golsa
Sadegheslam
Urmia University of Technology
sadegheslam.uut@gmail.com
Ahmad
Aryafar
Birjand university
ahariafar@yahoo.com
Hojjat
Hosseinzadeh Gharehgheshlagh
Urmia University of Technology
h.hoseynzade@uut.ac.ir
10.22115/scce.2018.53997
In 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.
Multi-criteria decision making,Dimensional stone,TOPSIS,Fuzzy Delphi
http://www.jsoftcivil.com/article_53997.html
http://www.jsoftcivil.com/article_53997_12e1f7d8af556801da4a2529bf5dfb42.pdf