Search Results - "Kumar, Divesh Ranjan"

Buckling response of CNT based hybrid FG plates using finite element method and machine learning method by Kumar, Ravi, Kumar, Ajay, Ranjan Kumar, Divesh

“…In this study, a C0 finite element model (FEM) based on modified third-order shear deformation (MTSDT) theory in conjunction with a deep neural network (DNN),…”
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Machine learning prediction of the unconfined compressive strength of controlled low strength material using fly ash and pond ash by Dev, K. Lini, Kumar, Divesh Ranjan, Wipulanusat, Warit

“…The sustainable use of industrial byproducts in civil engineering is a global priority, especially in reducing the environmental impact of waste materials…”
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Hybrid artificial neural network models for bearing capacity evaluation of a strip footing on sand based on Bolton failure criterion by Jitchaijaroen, Wittaya, Ranjan Kumar, Divesh, Keawsawasvong, Suraparb, Wipulanusat, Warit, Jamsawang, Pitthaya

“…•Proposing optimized artificial neural network models for bearing capacity evaluation of a strip footing on sand.•New FELA solutions for the ultimate bearing…”
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Soft-Computing Techniques for Predicting Seismic Bearing Capacity of Strip Footings in Slopes by Kumar, Divesh Ranjan, Samui, Pijush, Wipulanusat, Warit, Keawsawasvong, Suraparb, Sangjinda, Kongtawan, Jitchaijaroen, Wittaya

“…In this study, various machine learning algorithms, including the minimax probability machine regression (MPMR), functional network (FN), convolutional neural…”
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Soft computing-based prediction models for compressive strength of concrete by Kumar, Manish, Biswas, Rahul, Kumar, Divesh Ranjan, Samui, Pijush, Kaloop, Mosbeh R., Eldessouki, Mohamed

“…The complexity of concrete's composition makes it difficult to predict its compressive strength, which is a highly valuable and desired characteristic…”
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Machine learning approaches for stability prediction of rectangular tunnels in natural clays based on MLP and RBF neural networks by Jitchaijaroen, Wittaya, Keawsawasvong, Suraparb, Wipulanusat, Warit, Kumar, Divesh Ranjan, Jamsawang, Pitthaya, Sunkpho, Jirapon

“…•This study aims to assess the stability of rectangular tunnels.•The stability analysis of these tunnels involves employing FELA and the AUS model to identify…”
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Optimized neural network-based state-of-the-art soft computing models for the bearing capacity of strip footings subjected to inclined loading by Kumar, Divesh Ranjan, Wipulanusat, Warit, Kumar, Manish, Keawsawasvong, Suraparb, Samui, Pijush

“…Determining the bearing capacity of a strip footing under inclined loading is crucial in designing foundations. Due to the complex correlations, the subject…”
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Liquefaction susceptibility using machine learning based on SPT data by Kumar, Divesh Ranjan, Samui, Pijush, Burman, Avijit, Wipulanusat, Warit, Keawsawasvong, Suraparb

“…•This research adopted the DNN, CNN, RNN, LSTM, and BILSTM to assess the liquefaction potential of soil deposits based on SPT-based post-liquefaction…”
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Reliability-Based Design for Strip-Footing Subjected to Inclined Loading Using Hybrid LSSVM ML Models by Kumar, Manish, Kumar, Divesh Ranjan, Wipulanusat, Warit

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Determination of Best Criteria for Evaluation of Liquefaction Potential of Soil by Kumar, Divesh Ranjan, Samui, Pijush, Burman, Avijit

“…  The current study looks at measuring soil’s liquefaction potential using various indexes such as the factor of safety (FOS), the liquefaction severity index…”
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State-of-the-art XGBoost, RF and DNN based soft-computing models for PGPN piles by Kumar, Manish, Samui, Pijush, Kumar, Divesh Ranjan, Asteris, Panagiotis G.

“…Machine learning (ML) has made significant advancements in predictive modelling across many engineering sectors. However, predicting the bearing capacity of…”
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Application of Advanced Machine Learning Models for Uplift and Penetration Resistance in Clay-Embedded Dual Interfering Pipelines by Kumar, Divesh Ranjan, Wipulanusat, Warit, Keawsawasvong, Suraparb

“…This study investigated the uplift and penetration resistance of dual interfering pipelines buried in clay using advanced regression machine learning models,…”
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Suitability assessment of the best liquefaction analysis procedure based on SPT data by Kumar, Divesh Ranjan, Samui, Pijush, Burman, Avijit

“…At present, there exist many methods for liquefaction analysis of a soil deposit. Some of them are suitable for only coarse-grained soils, while a few others…”
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Development of ANN-based metaheuristic models for the study of the durability characteristics of high-volume fly ash self-compacting concrete with silica fume by Kumar, Shashikant, Kumar, Divesh Ranjan, Wipulanusat, Warit, Keawsawasvong, Suraparb

“…The construction of durable and sustainable infrastructure requires the use of industrial byproducts such as fly ash (FA) and silica fume (SF) to enhance…”
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Novel neural network-based metaheuristic models for the stability prediction of rectangular trapdoors in anisotropic and non-homogeneous clay by Sangjinda, Kongtawan, Kumar, Divesh Ranjan, Keawsawasvong, Suraparb, Wipulanusat, Warit, Jamsawang, Pitthaya

“…•Developing optimized neural network-based models for trapdoor stability prediction.•New FELA solutions for 3D rectangular trapdoors in anisotropic…”
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Seismically Induced Liquefaction Potential Assessment by Different Artificial Intelligence Procedures by Kumar, Divesh Ranjan, Samui, Pijush, Burman, Avijit, Kumar, Sanjay

“…Liquefaction triggering phenomenon during earthquake is one of the most complicated geotechnical problems due to the complex and heterogeneous nature of the…”
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A novel approach for assessment of seismic induced liquefaction susceptibility of soil by Kumar, Divesh Ranjan, Samui, Pijush, Burman, Avijit, Biswas, Rahul, Vanapalli, Sai

“…Liquefaction is one of the natural hazards that occurs due to earthquakes and has a significant impact on the loss of human lives and various civil…”
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An eXtreme Gradient Boosting prediction of uplift capacity factors for 3D rectangular anchors in natural clays by Tran, Duy Tan, Onjaipurn, Tinnapat, Kumar, Divesh Ranjan, Chim-Oye, Weeraya, Keawsawasvong, Suraparb, Jamsawang, Pitthaya

“…This paper presents new numerical evaluations of the vertical uplift resistance of rectangular anchors located in heterogeneous and anisotropic clays obeying…”
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Machine learning approaches for prediction of the bearing capacity of ring foundations on rock masses by Kumar, Divesh Ranjan, Samui, Pijush, Wipulanusat, Warit, Keawsawasvong, Suraparb, Sangjinda, Kongtawan, Jitchaijaroen, Wittaya

“…Determining the bearing capacity of ring foundations on rock masses holds utmost importance within the framework of foundation design methodology. To examine…”
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Prediction of Probability of Liquefaction Using Soft Computing Techniques by Kumar, Divesh Ranjan, Samui, Pijush, Burman, Avijit

“…Prediction of liquefaction potential of any soil deposit is itself a very challenging task. The problem becomes even more demanding when it becomes necessary…”
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