Search Results - Fazel Mojtahedi, S. Farid

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  1. 1
    Numerical finite element analysis of laterally loaded fin pile in sandy soil

    Numerical finite element analysis of laterally loaded fin pile in sandy soil by Yaghobi, Mohammad Hossein, Hanaei, Faezeh, Fazel Mojtahedi, S. Farid, Rezaee, Milad

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  2. 2
    Early detection of internal erosion in earth dams: combining seismic monitoring and convolutional AutoEncoders

    Early detection of internal erosion in earth dams: combining seismic monitoring and convolutional AutoEncoders by Yousefpour, Negin, Mojtahedi, Farid Fazel

    Published in Georisk
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  3. 3
    Use of InSAR data for measuring land subsidence induced by groundwater withdrawal and climate change in Ardabil Plain, Iran

    Use of InSAR data for measuring land subsidence induced by groundwater withdrawal and climate change in Ardabil Plain, Iran by Ghorbani, Zahra, Khosravi, Ali, Maghsoudi, Yasser, Mojtahedi, Farid Fazel, Javadnia, Eslam, Nazari, Ali

    Published in Scientific reports
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  4. 4
    Prediction of Stress-Dependent Soil Water Retention Using Machine Learning

    Prediction of Stress-Dependent Soil Water Retention Using Machine Learning by Fazel Mojtahedi, Seyed Farid, Akbarpour, Ali, Darzi, Ali Golaghaei, Sadeghi, Hamed, van Genuchten, Martinus Theodorus

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  5. 5
    Solving large deformation problems in geotechnical and geo-environmental engineering with the smoothed particle hydrodynamics: a state-of-the-art review of constitutive solutions

    Solving large deformation problems in geotechnical and geo-environmental engineering with the smoothed particle hydrodynamics: a state-of-the-art review of constitutive solutions by Onyelowe, Kennedy C., Fazel Mojtahedi, Farid, Golaghaei Darzi, Ali, Kontoni, Denise-Penelope N.

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  6. 6
    Assessing the vulnerability of Iran to subsidence hazard using a hierarchical FUCOM-GIS framework

    Assessing the vulnerability of Iran to subsidence hazard using a hierarchical FUCOM-GIS framework by Sadeghi, Hamed, Golaghaei Darzi, Ali, Voosoghi, Behzad, Akbari Garakani, Amir, Ghorbani, Zahra, Fazel Mojtahedi, Seyed Farid

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  7. 7
    Spatiotemporal deep learning approach for estimating water content profiles in soil layers

    Spatiotemporal deep learning approach for estimating water content profiles in soil layers by Fazel Mojtahedi, Farid, Ghaffari, Mohammad Amin, Rahmati, Saeed, Nazari, Ali, Sadeghi, Hamed, Vanapalli, Sai K.

    Published in E3S web of conferences
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  8. 8
    Damage Identification in Reinforced Concrete Beams Using Wavelet Transform of Modal Excitation Responses

    Damage Identification in Reinforced Concrete Beams Using Wavelet Transform of Modal Excitation Responses by Soleymani, Atefeh, Jahangir, Hashem, Rashidi, Maria, Mojtahedi, Farid Fazel, Bahrami, Michael, Javanmardi, Ahad

    Published in Buildings (Basel)
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  9. 9
    Bio-inspired Predictive Models Development for Strength Characterization of Cement Deep-Mixed Plastic Soils

    Bio-inspired Predictive Models Development for Strength Characterization of Cement Deep-Mixed Plastic Soils by Mojtahedi, Farid Fazel, Ahmadihosseini, Adel, Eidgahee, Danial Rezazadeh, Rezaee, Milad, Spagnoli, Giovanni

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  10. 10
    Extensive overview of soil constitutive relations and applications for geotechnical engineering problems

    Extensive overview of soil constitutive relations and applications for geotechnical engineering problems by Onyelowe, Kennedy C., Ebid, Ahmed M., Ramani Sujatha, Evangelin, Fazel-Mojtahedi, Farid, Golaghaei-Darzi, Ali, Kontoni, Denise-Penelope N., Nooralddin-Othman, Nabaz

    Published in Heliyon
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  11. 11
    Innovative Overview of SWRC Application in Modeling Geotechnical Engineering Problems

    Innovative Overview of SWRC Application in Modeling Geotechnical Engineering Problems by Onyelowe, Kennedy C., Mojtahedi, Farid Fazel, Azizi, Sadra, Mahdi, Hisham A., Sujatha, Evangelin Ramani, Ebid, Ahmed M., Darzi, Ali Golaghaei, Aneke, Frank I.

    Published in Designs
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  12. 12
    Prediction of shear strength parameters of hydrocarbon contaminated sand based on machine learning methods

    Prediction of shear strength parameters of hydrocarbon contaminated sand based on machine learning methods by Rezaee, Milad, Mojtahedi, Seyed Farid Fazel, Taherabadi, Ehsan, Soleymani, Kamyar, Pejman, Mehdi

    Published in Georisk
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