Showing 1 - 15 results of 15 for search '"piling"', query time: 0.07s Refine Results
  1. 1

    Slope stability and sheet pile and contiguous bored pile walls by Niroumand, Hamed, Kassim, Khairul Anuar, Nazir, Ramli, Faizi, Koohyar, Adhami, Behnam, Moayedi, Hossein

    Published 2012
    “…This research will highlight various techniques related to shear strength of soil, slope failure mechanisms, common slope failure, factor influencing the slope stability and the design concept of sheet pile wall and contiguous bored pile wall.…”
    Article
  2. 2

    Slope stability of the design concept of the sheet pile and contiguous bored pile walls by Niroumand, Hamed, Kassim, Khairul Anuar, Nazir, Ramli, Faizi, Koohyar, Adhami, Behnam, Moayedi, Hossein

    Published 2012
    “…This research will highlight various techniques related to shear strength of soil, slope failure mechanisms, common slope failure, factor influencing the slope stability and the design concept of sheet pile wall and contiguous bored pile wall.…”
    Article
  3. 3

    Appraisal of reliable skin friction variation in a bored pile by Nazir, Ramli, Moayedi, Hossein, Mosallanezhad, Mansour, Tourtiz, Alireza

    Published 2015
    “…The design of bored piles in Malaysia is usually based on the results of the standard penetration test. …”
    Article
  4. 4

    Optimization of ANFIS with GA and PSO estimating α ratio in driven piles by Moayedi, Hossein, Raftari, Mehdi, Sharifi, Abolhasan, Wan Jusoh, Wan Amizah, A. Rashid, Ahmad Safuan

    Published 2020
    “…However, optimizing ANFIS with GA and PSO has not been used in the area of pile engineering. The training data set was collected from available full-scale results of the driven piles. …”
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    Article
  5. 5

    Optimization of ANFIS with GA and PSO estimating α ratio in driven piles by Moayedi, Hossein, Raftari, Mehdi, Sharifi, Abolhasan, Wan Jusoh, Wan Amizah, A. Rashid, Ahmad Safuan

    Published 2020
    “…However, optimizing ANFIS with GA and PSO has not been used in the area of pile engineering. The training data set was collected from available full-scale results of the driven piles. …”
    Article
  6. 6

    Prediction of pullout behavior of belled piles through various machine learning modelling techniques by Dieu, Tien Bui, Moayedi, Hossein, Mohammed Abdullahi, Mu’azu, A. Rashid, Ahmad Safuan, Nguyen, Hoang

    Published 2019
    “…Consequently, regarding FFNN, RBNN, GRNN, and ANFIS, statistical indexes of coefficient of determination (R2), variance account for (VAF) and root mean square error (RMSE) in the values of (0.957, 0.968, 0.939, 0.902, 0.998), (95.677, 96.814, 93.884, 90.131, 97.442) and (2.176, 1.608, 3.001, 4.39, 0.058) have been achieved for training datasets and the values of (0.951, 0.913, 0.729, 0.685 and 0.995), (95.04, 91.13, 72.745, 66.228, 96.247) and (2.433, 4.032, 8.005, 10.188 and 1.252) are for testing datasets indicating a satisfied reliability of ANFIS in estimating of pullout behavior of belled piles.…”
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    Article
  7. 7

    Field performance of transition rigid piled embankment with surcharged vertical drain over soft ground by Nazir, Ramli, Moayedi, Hossein, Subramaniam, Puspanathan, Gue, See-Sew

    Published 2017
    “…Commonly, thick filling works over soft clay is aided with piled embankment at bridge approach to reduce differential settlement between the piled abutment and embankment over soft ground. …”
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    Article
  8. 8

    Lateral deflection of piles in a multilayer soil medium. Case study: The Terengganu seaside platform by Moayedi, Hossein, Nazir, Ramli, Mosallanezhad, Mansour, Mohd. Noor, Rozaimi, Khalilpour, Mehrdad

    Published 2018
    “…In this article, the lateral deflection of piles constructed in a multilayer soil medium is assessed. …”
    Article
  9. 9

    Application and design of transition piled embankment with surcharged prefabricated vertical drain intersection over soft ground by Nazir, Ramli, Moayedi, Hossein, Subramaniam, Puspanathan, Gue, See-Sew

    Published 2018
    “…This paper proposes the transition piled embankment with a surcharged prefabricated vertical drain. …”
    Article
  10. 10

    Determination of young elasticity modulus in bored piles through the global strain extensometer sensors and real-time monitoring data by Moayedi, Hossein, Kalantar, Bahareh, Abdullahi, Mu’azu Mohammed, A. Rashid, Ahmad Safuan, Nazir, Ramli, Nguyen, Hoang

    Published 2019
    “…For friction piles depending on the friction resistance, accurate prediction of unit skin friction around the pile shaft is the dominant resistance to measure the final bearing capacity of a bored-pile. …”
    Article
  11. 11

    Using stone column as a suitable liquefaction remediation in Persian Gulf coast. by Moayedi, Hossein, Kim Huat, Bujang, Mokhberi, Mehdi, Moghaddam, Arash Ansari, Moghaddam, Shokoufeh Ansari

    Published 2010
    “…This research investigates behavior of gravel drain piles under high-level earthquake loading beneath the structures foundation. …”
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    Article
  12. 12

    Preventing landslides in times of rainfall: case study and FEM analyses by Moayedi, Hossein, Kim Huat, Bujang, Mohammad Ali, Thamer Ahmad, Asadi, Afshin, Moayedi, Fatemeh, Mokhberi, Mehdi

    Published 2011
    “…Installing a gravel drain pile surrounded by a non-woven geotextile layer leads to an increase in the safety factor against landslides. …”
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    Article
  13. 13

    The uplift load capacity of an enlarged base pier embedded in dry sand by Nazir, Ramli, Moayedi, Hossein, Pratikso, A., Mosallanezhad, Mansour

    Published 2015
    “…This is due to the reduction in the amount of the sand column above the bell that resists the uplift of the pile. Failure displacements at a constant base diameter generally increased considerably with the increase of the embedment ratio but decreased with the increment of the sand density. …”
    Article
  14. 14

    A systematic review and meta-analysis of artificial neural network application in geotechnical engineering: theory and applications by Moayedi, Hossein, Mosallanezhad, Mansour, A. Rashid, Ahmad Safuan, Wan Jusoh, Wan Amizah, Muazu, Mohammed Abdullahi

    Published 2020
    “…A review of the literature reveals that artificial neural networks is well established in modeling retaining walls deflection, excavation, soil behavior, earth retaining structures, site characterization, pile bearing capacity (both skin friction and end-bearing) prediction, settlement of structures, liquefaction assessment, slope stability, landslide susceptibility mapping, and classification of soils. …”
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    Article
  15. 15

    A systematic review and meta-analysis of artificial neural network application in geotechnical engineering: theory and applications by Moayedi, Hossein, Mosallanezhad, Mansour, A. Rashid, Ahmad Safuan, Wan Jusoh, Wan Amizah, Muazu, Mohammed Abdullahi

    Published 2020
    “…A review of the literature reveals that artificial neural networks is well established in modeling retaining walls deflection, excavation, soil behavior, earth retaining structures, site characterization, pile bearing capacity (both skin friction and end-bearing) prediction, settlement of structures, liquefaction assessment, slope stability, landslide susceptibility mapping, and classification of soils. …”
    Article