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    Evaluation of bearing capacity of shallow foundations by using dynamic soil property 

    Type: Conference Paper
    Author : amini ahidashti, r; haddad, a
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    Prediction of Shear Wave Velocity Using Artificial Neural Network Technique, Multiple Regression and Petrophysical Data: A Case Study in Asmari Reservoir (SW Iran 

    Type: Journal Paper
    Author : حبیب اخوندی; محمد غفوری; غلامرضا لشکری پور; Habib Akhundi; Mohammad Ghafoori; Gholam Reza Lashkaripour
    Year: 2014
    Abstract:

    Shear wave velocity has numerous applications in geomechanical, petrophysical and geophysical

    studies of hydrocarbon reserves. However, data related to shear wave velocity isn’t available for

    all wells, especially old wells...

    Determine Stability Wellbore Utilizing by Artificial Intelligence Systems andEstimation of Elastic Coefficients of Reservoir Rock 

    Type: Journal Paper
    Author : حبیب اخوندی; محمد غفوری; غلامرضا لشکری پور; Habib Akhundi; Mohammad Ghafoori; Gholam Reza Lashkaripour
    Year: 2015
    Abstract:

    appropriate combination of data. The same information that were intended for multiple

    regression were used as input in neural networks, and shear wave velocity was obtained using

    (Vp) and well logging data in carbonate rocks. The results showed...

    Empirical relationships of shear wave velocity, SPT-N value and vertical effective stress for different soils in Mashhad, Iran 

    Type: Journal Paper
    Author : اعظم قزی; ناصر حافظی مقدس; حسین صادقی; محمد غفوری; غلامرضا لشکری پور; azam ghazi; Nasser Hafezi Moghaddas; Hossein Sadeghi; Mohammad Ghafoori; Gholam Reza Lashkaripour
    Year: 2015
    Abstract:

    Shear wave velocity, V_s, is one of the important input parameters in seismic response analysis of the ground. Various methods have been attempted to measure the soil V_s directly. Direct measurement of V_s is time consuming and costly, therefore...

    Shear wave prediction using committee fuzzy model constrained by lithofacies, Zagros basin, SW Iran 

    Type: Journal Paper
    Author : سجاد کاظم شیرودی; محمد غفوری; Hamid Reza Ansari; غلامرضا لشکری پور; Mostafa Ghanadian; SADJAD KAZEMSHIROODI; Mohammad Ghafoori; Gholam Reza Lashkaripour
    Year: 2017
    Abstract:

    The main purpose of this study is to introduce the geological controlling factors in improving an intelligence-based model to estimate shear wave velocity from seismic attributes. The proposed method includes three main steps in the framework...

    Predicting Shear Wave Velocity of Soil Using Multiple Linear Regression Analysis and Artificial Neural Networks 

    Type: Journal Paper
    Author : ام البنین عطائی; ناصر حافظی مقدس; غلامرضا لشکری پور; مهدی جباری نوقابی; ommolbanin ataee; Nasser Hafezi Moghaddas; Gholam Reza Lashkaripour; Mehdi Jabbari Nooghabi
    Year: 2018
    Abstract:

    In this paper, the correlation between shear wave velocity and some of the index parameters of soils including standard penetration test blow counts (SPT), fine-content (FC), soil moisture (W), liquid limit (LL) and depth (D) is investigated...

    Prediction of Shear Wave Velocity Profile Using GMDH Type Neural Networks and Genetic Algorithm 

    Type: Journal Paper
    Author : ام البنین عطائی; ناصر حافظی مقدس; غلامرضا لشکری پور; مهدی جباری نوقابی; ommolbanin ataee; Nasser Hafezi Moghaddas; Gholam Reza Lashkaripour; Mehdi Jabbari Nooghabi
    Year: 2018
    Abstract:

    hear wave velocity (VS) is one of the essential parameters for site characterization studies. This study aims to generate reliable equations for estimating VS of top 30 m of soil profile (VS30) in absence of site-specific ...

    Power enhancement of partially shaded PV array by using a novel approach for shade dispersion 

    Type: Conference Paper
    Author : Sahu, H.S. , Nayak, S.K.
    Publisher: IEEE
    Year: 2014

    Routing, spectrum and core allocation in flexgrid SDM networks with multi-core fibers 

    Type: Conference Paper
    Publisher: IEEE
    Year: 2014

    Processing of MIRANDA35 FMCW-SAR Data using a Time-Domain Algorithm 

    Type: Conference Paper
    Publisher: IEEE
    Year: 2014
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