@article{ 
author = {Haddad, A. and Shafabakhsh, Gh.},  
title = {Non-invasive Continuous Surface Wave Measurements for In Situ Damping Ratio Profiling of Soils}, 
abstract ={Local site conditions have a strong effect on ground response during earthquakes. Two important soil parameters that control the amplification effects of seismic motions by a soil column are the soil hysteretic damping ratio and shear wave velocity. This paper presents the results of in situ damping ratio measurements performed using continuous surface wave attenuation data at a site in Semnan University campus and analysis used to obtain the near surface soils damping ratio profile. Once the frequency dependent attenuation coefficients are determined, the shear damping ratio profile is calculated using an algorithm based on constrained inversion analysis. A computer code is developed to calculate the shear damping ratio in each soil layer. Comparisons of the in situ shear damping ratio profile determined from continuous surface wave with cross hole independent test measurements are also presented. Values of shear damping ratio, obtained using continuous surface wave measurements, were less than the measured using cross hole tests, possibly because of the higher frequencies used in cross hole tests.},  
Keywords = {Continuous surface waves, Damping ratio, Soil attenuation, Hysteresis loop},
volume = {5},
Number = {2}, 
pages = {93-103}, 
publisher = {},
title_fa = {},
abstract_fa ={},
keywords_fa = {},
url = {http://ijce.iust.ac.ir/article-1-316-en.html},  
eprint = {http://ijce.iust.ac.ir/article-1-316-en.pdf},  
journal = {International Journal of Civil Engineering},  
issn = {1735-0522}, 
eissn = {2283-3874}, 
year = {2007}  
}

@article{ 
author = {Naeini, S.A. and Ziaie-Moayed, R.},  
title = {Evaluation of Undrained Shear Strength of Loose Silty Sands Using CPT Results}, 
abstract ={Series of undrained monotonic triaxial tests and cone penetration tests were conducted on loose silty sand samples to study correlation between undrained shear strength of silty sands (Sus) and piezocone test results. CPT tests were conducted at 27 silty sand samples in calibration chamber. The results indicate that, in low percent of silt (0-30%), as the silt content increases, the undrained shear strength (Sus) and cone tip resistance (qc) decreases. It is shown that, fines content affects undrained shear strength (Sus) and cone tip resistance (qc) similarly. On the basis of obtained results, equations were proposed to determine the normalized cone tip resistance (qc1n) and undrained shear strength (Sus) of silty sand in term of fines content. Finally based on those equations, a correlation between normalized cone tip resistance and undrained shear strength of silty sand is presented. It is shown that the normalized undrained shear strength and normalized cone tip resistance of loose silty sands (F.C. <30%) decreases with increase of silt contents.},  
Keywords = {shear strength, piezocone test, triaxial test, cone tip resistance, fines content},
volume = {5},
Number = {2}, 
pages = {104-117}, 
publisher = {},
title_fa = {},
abstract_fa ={},
keywords_fa = {},
url = {http://ijce.iust.ac.ir/article-1-317-en.html},  
eprint = {http://ijce.iust.ac.ir/article-1-317-en.pdf},  
journal = {International Journal of Civil Engineering},  
issn = {1735-0522}, 
eissn = {2283-3874}, 
year = {2007}  
}

@article{ 
author = {MoghaddasTafreshi, S.N. and TavakoliMehrjardi, Gh. and MoghaddasTafreshi, S.M.},  
title = {Analysis of Buried Plastic Pipes in Reinforced Sand under Repeated-Load Using Neural Network and Regression Model}, 
abstract ={The safety of buried pipes under repeated load has been a challenging task in geotechnical engineering. In this paper artificial neural network and regression model for predicting the vertical deformation of high-density polyethylene (HDPE), small diameter flexible pipes buried in reinforced trenches, which were subjected to repeated loadings to simulate the heavy vehicle loads, are proposed. The experimental data from tests show that the vertical diametric strain (VDS) of pipe embedded in reinforced sand depends on relative density of sand, number of reinforced layers and height of embedment depth of pipe significantly. Therefore in this investigation, the value of VDS is related to above pointed parameters. A database of 72 experiments from laboratory tests were utilized to train, validate and test the developed neural network and regression model. The results show that the predicted of the vertical diametric strain (VDS) using the trained neural network and regression model are in good agreement with the experimental results but the predictions obtained from the neural network are better than regression model as the maximum percentage of error for training data is less than 1.56% and 27.4%, for neural network and regression model, respectively. Also the additional set of 24 data was used for validation of the model as 90% of predicted results have less than 7% and 21.5% error for neural network and regression model, respectively. A parametric study has been conducted using the trained neural network to study the important parameters on the vertical diametric strain.},  
Keywords = {Neural network, Regression model, Soil reinforcement, Buried pipe, Vertical diametric Strain},
volume = {5},
Number = {2}, 
pages = {118-133}, 
publisher = {},
title_fa = {},
abstract_fa ={},
keywords_fa = {},
url = {http://ijce.iust.ac.ir/article-1-318-en.html},  
eprint = {http://ijce.iust.ac.ir/article-1-318-en.pdf},  
journal = {International Journal of Civil Engineering},  
issn = {1735-0522}, 
eissn = {2283-3874}, 
year = {2007}  
}

@article{ 
author = {RahmaniFiroozjaee, A. and Afshar, M.H.},  
title = {Discrete least square method (DLSM) for the solution of free surface seepage problem}, 
abstract ={A meshless method namely, discrete least square method (DLSM), is presented in the paper for the solution of free surface seepage problem. In this method computational domain is discredited by some nodes and then the set of simultaneous equations are built using moving least square (MLS) shape functions and least square technique. The proposed method does not need any background mesh therefore it is a truly meshless method. Several numerical two dimensional examples of Poisson partial differential equations (PDEs) are presented to illustrate the performance of the present DLSM. And finally a free surface seepage problem in a porous media is solved and results are presented.},  
Keywords = {Numerical analysis, Meshless method, MLS, Least square technique, Poisson PDE, Seepage problem, DLSM},
volume = {5},
Number = {2}, 
pages = {134-143}, 
publisher = {},
title_fa = {},
abstract_fa ={},
keywords_fa = {},
url = {http://ijce.iust.ac.ir/article-1-319-en.html},  
eprint = {http://ijce.iust.ac.ir/article-1-319-en.pdf},  
journal = {International Journal of Civil Engineering},  
issn = {1735-0522}, 
eissn = {2283-3874}, 
year = {2007}  
}

@article{ 
author = {Ghafouri, H.R. and Darabi, B.S.},  
title = {Optimal Identification of Ground-Water Pollution Sources}, 
abstract ={A new mathematical model for identifying pollution sources in aquifers is presented. The model utilizes Lagrange Constrained Optimization Method (LCOM) and is capable to inversely solve unsteady fluid flow in saturated, heterogeneous, anisotropic confined and/or unconfined aquifers. Throughout the presented model, complete advection-dispersion equation, including the adsorption as well as retardation of contaminant, is considered. The well-known finite element method is used to discretize and solve the governing equations. The model verification is implemented using a hypothetical example. Also, the applicability of the developed code is illustrated by the real field problem of Ramhormoz aquifer in southwestern Iran.},  
Keywords = {Optimization, Pollution source, Backward tracking},
volume = {5},
Number = {2}, 
pages = {144-155}, 
publisher = {},
title_fa = {},
abstract_fa ={},
keywords_fa = {},
url = {http://ijce.iust.ac.ir/article-1-320-en.html},  
eprint = {http://ijce.iust.ac.ir/article-1-320-en.pdf},  
journal = {International Journal of Civil Engineering},  
issn = {1735-0522}, 
eissn = {2283-3874}, 
year = {2007}  
}

@article{ 
author = {Maghsoudi, A.A. and AkbarzadehBengar, H.},  
title = {Diagonal Compression Criterion on Compression Reinforcement Ratio in Flexural HSRC Members}, 
abstract ={Limit to the tension reinforcement ratio ( ρ) in flexural high strength reinforced concrete (HSRC) members is based on the requirement that tension failure as sufficient rotation capacity are ensured at ultimate limit state. However, the provisions for the total amount of longitudinal reinforcement ratio ( ρ and ρ’) are not associated with any rational derivation. In this paper, a quantitative measure to evaluate an upper limit to the compression reinforcement ratio ρBmax of flexural HSRC members is proposed. The quantitative criterion to ρBmax can be derived from i) steel congestion and ii) considerations that are related to the diagonal compression bearing capacity of the members. In this paper it is shown that, when shear loading is dominant, the limit to is set by the diagonal compression criterion. Parameters that affect this limit are deeply investigated and the expressions were derived for different end conditions, to provide an additional tool for a better design and assessment of the flexural capacity of HSRC members.},  
Keywords = {Congestion Criterion, Diagonal Compression, HSRC, Upper Limit to ρ’, End conditions.},
volume = {5},
Number = {2}, 
pages = {156-167}, 
publisher = {},
title_fa = {},
abstract_fa ={},
keywords_fa = {},
url = {http://ijce.iust.ac.ir/article-1-321-en.html},  
eprint = {http://ijce.iust.ac.ir/article-1-321-en.pdf},  
journal = {International Journal of Civil Engineering},  
issn = {1735-0522}, 
eissn = {2283-3874}, 
year = {2007}  
}