eng
Pouyan Press
Journal of Soft Computing in Civil Engineering
2588-2872
2588-2872
2018-04-01
2
2
1
18
10.22115/scce.2018.108597.1036
55277
An Interior-Constraint BEM for Regularization of Problems with Improper Boundary Conditions
Grady Mathews IV
gfm5121@psu.edu
1
Dimitris Rizos
rizos@engr.sc.edu
2
Robert Mullen
rlm@sc.edu
3
Assistant Professor, Department of Civil Engineering, Penn State Harrisburg, Middletown, PA 17057, USA
Associate Professor, Department of Civil and Environmental Engineering, University of South Carolina, Columbia, SC 29208, USA
Professor, Department of Civil and Environmental Engineering, University of South Carolina, Columbia, SC 29208, USA
A well-posed problem in analysis of elastic bodies requires the definition of appropriate constrains of the boundary to prevent rigid body motion. However, one is sometimes presented with the problem of non-self-equilibrated tractions on an elastic body that will cause rigid body motion, while the boundary should remain unconstrained. One such case is the analysis of multi-particle dynamics where the solution is obtained in a quasi-static approach. In such cases, the motion of the particles is governed by the dynamic equilibrium while the contact forces between particles may be computed from elastostatic solutions. This paper presents two regularization methods of Interior-Constraint Boundary Element techniques for elastostatic analysis with improper boundary supports. In the proposed method rigid body modes are eliminated by imposing constrains on the interior of an elastic body. This is accomplished through simultaneously solving the governing Boundary Integral Equation and Somigliana’s Identity. The proposed method is examined through assessment and verification studies where it is demonstrated, that for all considered problems rigid body motion is successfully constrained with minimal effects on body deformations.
http://www.jsoftcivil.com/article_55277_43dbd871608e6aefd07a01f178206937.pdf
Boundary element method
Rigid body motion constrains
Regularization
Approximate solutions
eng
Pouyan Press
Journal of Soft Computing in Civil Engineering
2588-2872
2588-2872
2018-04-01
2
2
19
30
10.22115/scce.2018.110910.1040
56038
Comparative Analysis of Rigid Pavement using Westergaard Method and Computer Program
Intisar Al-Ghafri
07008082@uofn.edu.om
1
Muhammad Javid
ma.javid@hotmail.com
2
Department of Civil and Environmental Engineering, University of Nizwa,Oman
Department of Civil and Environmental Engineering,University of Nizwa, Oman
Country’s economic, social and cultural development is mainly dependent on performance of its highway structure. Selection of appropriate pavement type and related design method are vital for the improvement of pavement performance and its service life, and reduction in the initial and maintenance cost. The rigid pavement exposed to many distresses during its service life resulted due to variation of traffic loading, material properties and climatic conditions. The main objective of this project is to make comparison between manual and computer design for rigid pavement structure under different loading, material properties and temperature regimes. For manual design and computer design, “Westergaard Method” and “KENPAVE software” were used respectively. The stress analysis results revealed that edge stresses are higher as compared with interior and corner location, and stresses estimated at all locations with Westergaard method are significantly lower than stresses estimated with KENPAVE software. Results of sensitivity analysis showed that change in pavement thickness, material properties and wheel load has significant impact on developed stresses at different slab locations.
http://www.jsoftcivil.com/article_56038_de574bf40837a266742ec98d4dfd67d3.pdf
Rigid pavement
Westergaard Method
Traffic Loading
Curling Stresses
eng
Pouyan Press
Journal of Soft Computing in Civil Engineering
2588-2872
2588-2872
2018-04-01
2
2
31
55
10.22115/scce.2018.102399.1030
57404
Profiled Composite Slab Strength Determination Method
Kachalla Mohammed
engrkachalla@unimaid.edu.ng
1
Izian Karim
izian_abd@upm.edu.my
2
Farah Aziz
farah@upm.edu.my
3
Teik Hua Law
lawteik@upm.edu.my
4
Senior Lecturer, Department of Civil & Water Resources Engineering, University of Maiduguri, Maiduguri, Nigeria
Senior lecturer, Department of Civil Engineering, University Putra Malaysia, Serdang, Malaysia
Associate Professor, Department of Civil Engineering, University Putra Malaysia, Malaysia
Associate Professor, Department of Civil Engineering, University Putra Malaysia, Malaysia
Abstract: <br /><br />The purpose of this article is to develop a new numerical approach for determining the strength capacity of a profiled composite slab (PCS) devoid of the current challenges of expensive and complex laboratory procedure required for establishing its longitudinal shear capacity. The new Failure Test Load (FTL) methodology is from a reliability-based evaluation of PCS load capacity design with longitudinal shear estimation under slope-intercept (m-k) method. The limit-state capacity development is through consideration of the experimental FTL value as the maximum material strength, and design load equivalent estimation using the shear capacity computation. This facilitates the complex strength verification of PDCS in a more simplified form that is capable of predicting FTL value, which will aid in determining the longitudinal shear of profiled deck composite slab with ease. The developed strength determination effectively performs well in mimicking the probabilistic deck performance and composite slab strength determination. The strength test performance between the developed scheme and the experiment-based test results indicates high similarity, demonstrating the viability of the proposed strength determination methodology.
http://www.jsoftcivil.com/article_57404_9a6095c096afebab0e30631b14782dd9.pdf
Slope-intercept method
Reliability
Profiled composite slab
Longitudinal shear
First order reliability method
Strength test
eng
Pouyan Press
Journal of Soft Computing in Civil Engineering
2588-2872
2588-2872
2018-04-01
2
2
56
88
10.22115/scce.2017.96717.1024
54124
Stream Flow Forecasting using Least Square Support Vector Regression
Shreenivas Londhe
shreenivas.londhe@viit.ac.in
1
Seema Gavraskar
seemagavraskar@gmail.com
2
Professor, Vishwakarma Institute of Information Technology, Pune, India
PG Student, Vishwakarma Institute of Information Technology, Pune, India
Effective stream flow forecast for different lead-times is useful in almost all water resources related issues. The Support Vector Machines (SVMs) are learning systems that use a hypothetical space of linear functions in a kernel induced higher dimensional feature space, and are trained with a learning algorithm from optimization theory. The support vector regression attempts to fit a curve with respect to the kernel used in SVM on data points such that the points lie between two marginal hyper planes which helps in minimizing the regression error. The current paper presents least square support vector regression (LS-SVR) to predict one day ahead stream flow using past values of the rainfall and stream flow at three stations in India, namely Nighoje and Budhwad in Krishna river basin and Mandaleshwar in Narmada river basin. The relevant inputs are fixed on the basis of autocorrelation, Cross-correlation and trial and error. The model results are reasonable as can be seen from low value of Root Mean Square Error (RMSE), Coefficient of Efficiency (CE) and Mean Absolute Relative Error (MARE) accompanied by scatter plots and hydrographs.
http://www.jsoftcivil.com/article_54124_23306f7491e9820d7f6f1d919b331e08.pdf
Stream flow forecasting
Support Vector Machines
Support vector regression
Kernel function
eng
Pouyan Press
Journal of Soft Computing in Civil Engineering
2588-2872
2588-2872
2018-04-01
2
2
89
101
10.22115/scce.2018.114034.1045
56144
Reliability Analysis of Structures Using Modified FA_PSO Algorithm
Hamidreza Shahmoradi Qomi
phd.shahmoardi@gmail.com
1
Pavlo Voitenko
pzv0011@auburn.edu
2
Majid Taheri
majidtaheri@semnan.ac.ir
3
Ph.D. Student, Faculty of Civil Engineering, Semnan University, Semnan, Iran
Ph.D. Candidate, Graduate Research Assistant, Department of Civil Engineering, Auburn University, Auburn, United States
Ph.D. Student, Faculty of Civil Engineering, Semnan University, Semnan, Iran
Designing buildings with a very high safety factor is one of the main purposes of a civil engineer. Since in the structural design process, there are several no-confidence; we cannot achieve a perfect safe design. In these cases, we face amount of the probability of failure. So the theory of reliability used to assess the uncertainty. This theoretical for expression the safety of a system uses the reliability index, so it can be said that the calculation of reliability index is an important part of the theory. By the theory of structural reliability, uncertainties arising from the nature of the statistical parameters can be written mathematical equations and considerations of safety and performance of the structure into the design process. Since classical methods are not capable of solving complex functions, metaheuristic algorithms used. In fact, a metaheuristic algorithm is a set of concepts, which significantly able to solve many complex issues, which they can reach an optimal solution in a short time. In this paper, the particle swarm algorithm combined with Firefly and to assess the reliability theory has been used. Reliability index is calculated by searching the shortest distance between the origin and the closed point of Limit State Surface in the Standard normalized space.Mathematical and engineering studies on the issues indicated; Hybrid Firefly and particle swarm algorithm are with great accuracy and speed.
http://www.jsoftcivil.com/article_56144_f0cee50ff42acdfe7b214aef94a04a3a.pdf
Reliability Index
Engineering Problems
Limit State Function
Modified FA_PSO Algorithm
eng
Pouyan Press
Journal of Soft Computing in Civil Engineering
2588-2872
2588-2872
2018-04-01
2
2
102
115
10.22115/scce.2018.105504.1033
57405
Modeling of Compressive Strength Characteristics of Structural-sized Afara (Terminalia superba) and Babo (Isoberlinia doka) Timber Columns Using Constant Failure Rate (CFR) Model of Reliability
Alao Jimoh
aajimoh4real@yahoo.com
1
Rauf Rahmon
rorahmon2222@gmail.com
2
Khalid Ibrahim
awadrada@gmail.com
3
Department of Civil Engineering, Faculty of Engineering and Technology, University of Ilorin, Ilorin, Nigeria
Department of Civil Engineering, Faculty of Engineering and Technology, University of Ilorin, Ilorin, Nigeria
Department of Civil Engineering, Faculty of Engineering and Technology, University of Ilorin, Ilorin, Nigeria
This paper investigated the reliability of the Structural-sized Afara and Babo timber species as column materials. The work centers on the compressive strength characteristics of Nigerian Afara (Terminalia superba) and Babo (Isoberlinia doka) timber column of nominal lengths 200, 400, 600 and 800 mm and a nominal width and thickness of 50 mm by 50 mm. The steps involved collection and conditioning of Afara and Babo timber species, preparation of test specimens, determination of physical properties such as moisture content and density, determination of compressive strengths using varying heights of 200, 400, 600 and 800 mm and derivation of continuous column design equations. Forty test samples were used in all the tests carried out. Afara and Babo have an average density of 509.80 and 849.67 kg/m3 respectively. Moisture content of both species less than the maximum recommended value of 20 % and the average strength at yield of Afara and Babo are 19.99 and 30.96 N/mm2. The derived continuous equations for design of Afara column and Babo column are σ=〖16.992e〗^(0.0039λ) and σ=〖32.031e〗^(-0.001λ) respectively. The results of the reliability analysis show that Afara and Babo timber species have reliability index of 0.63 and 0.64 respectively for a service life of 50 years, assuming other serviceability conditions are met. This design procedure is distinct and more effective than the usual procedure of classification of compression members as short, intermediate and long. The paper therefore recommends the adoption of these equations for the design of compression members from these timber species in Nigeria.
http://www.jsoftcivil.com/article_57405_114d7170659b4da3597adc65c8588ca6.pdf
Afara
Babo
Compressive strength
regression analysis
Reliability
eng
Pouyan Press
Journal of Soft Computing in Civil Engineering
2588-2872
2588-2872
2018-04-01
2
2
116
126
10.22115/scce.2018.100391.1028
57946
An Analysis of Sight Distances Considering Both the Vertical and Horizontal Curves of a Tourist Bound Destination Highway in Camarines Sur: The Lagonoy-Presentacion Section
Raymundo Romero
munding25@yahoo.com.ph
1
College of Engineering and Technology, Partido State University, Goa, Camarines Sur Philippines
This analyzed sight distances contemplating both vertical and horizontal curves of a tourist bound destination highway in Camarines Sur particularly the Lagonoy to Presentacion section. The Quantum Geographic Information System (QGIS) was used. The data were validated through site observation. The radius, tangent and sight distances for horizontal curves were obtained through graphical measurement while the elevations, length, slopes of both forward and back tangents, and sight distances of vertical curves were computed using mathematics formula. The decision sight distance and the equivalent maximum speed values were deduced through the policies imposed by the American Association of State Highway and Transportation Officials (AASHTO [1]). The highway has numerous horizontal and vertical curves with radius, tangent distances, intersecting angles, curve lengths; elevations of point of curvature (PC), point of tangencies (PT), and point of intersections (PI); and slope of forward and back tangent accorded to short sight distances which delimit car speeds to avoid accident. Through the obtained sight distance data, the maximum speed limit map was completed.
http://www.jsoftcivil.com/article_57946_b0c4708fd44bf5655fb64d82882939c6.pdf
Sight distance
Vertical curve
Horizontal curve
Highway
Maximum speed