Ramesh Murlidhar Bhatawdekar

ORCID: 0000-0003-1773-9920
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About
Contact & Profiles
Research Areas
  • Rock Mechanics and Modeling
  • Mineral Processing and Grinding
  • Tunneling and Rock Mechanics
  • Geotechnical and Geomechanical Engineering
  • Landslides and related hazards
  • Geotechnical Engineering and Analysis
  • Geotechnical Engineering and Underground Structures
  • earthquake and tectonic studies
  • Infrastructure Maintenance and Monitoring
  • 3D Surveying and Cultural Heritage
  • Drilling and Well Engineering
  • Remote Sensing and LiDAR Applications
  • BIM and Construction Integration
  • Hydrology and Sediment Transport Processes
  • Geological formations and processes
  • Dam Engineering and Safety
  • Structural Response to Dynamic Loads
  • Machine Learning and ELM
  • Soil erosion and sediment transport
  • Mining Techniques and Economics
  • Advanced Multi-Objective Optimization Algorithms
  • Energy Load and Power Forecasting
  • Tailings Management and Properties
  • Recycled Aggregate Concrete Performance
  • CO2 Sequestration and Geologic Interactions

Indian Institute of Technology Kharagpur
2021-2025

University of Technology Malaysia
2017-2025

Oxford Brookes University
2021

East Asia School of Theology
2021

University of Technology Sydney
2021

South Ural State University
2021

Blasting is essential for breaking hard rock in opencast mines and tunneling projects. It creates an adverse impact on flyrock. Thus, it to forecast flyrock minimize the environmental effects. The objective of this study forecast/estimate amount produced during blasting by applying three creative composite intelligent models: equilibrium optimizer-coupled extreme learning machine (EO-ELM), particle swarm optimization-based (PSO-ELM), optimization-artificial neural network (PSO-ANN). To...

10.3390/su15043265 article EN Sustainability 2023-02-10

Ground vibration is one of the most unfavourable environmental effects blasting activities, which can cause serious damage to neighboring homes and structures. As a result, effective forecasting their severity critical controlling reducing recurrence. There are several conventional predictor equations available proposed by different researchers but them based on only two parameters, i.e., explosive charge used per delay distance between blast face monitoring point. It well-known fact that...

10.3390/app12189189 article EN cc-by Applied Sciences 2022-09-14

Computational Intelligent (CI) systems represent a pivotal intersection of cutting-edge technologies and complex engineering challenges aimed at solving real-world problems.This comprehensive body work delves into the realm CI, which is designed to tackle intricate multifaceted problems through advanced computational techniques.The history CI fascinating journey that spans several decades has its roots in development artificial intelligence machine learning techniques.Through wide array...

10.32604/cmes.2023.031701 article EN Computer Modeling in Engineering & Sciences 2023-09-19
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