Monte Carlo Simulation for Reinforced Concrete Beams: A Numerical Approach
Deepak Patel
Corresponding
Shahjalal University of Science and Technology
Abstract
There is a pressing need for low-cost, locally appropriate solutions to reinforced concrete beams in agricultural machinery. The proposed framework combined Monte Carlo simulation with laboratory measurements to improve predictive accuracy. The proposed algorithm converged reliably within 7 iterations for every case that was tested. The outcomes contribute to safer and more economical infrastructure in developing regions.
Keywords:
reinforced concrete beamsMonte Carlo simulationpattern recognitionresponse surface methodologykalman filtersmart grid
References
- Chowdhury, S., & Kumar, A. (1992). Soil liquefaction in textile manufacturing. International Conference on Computer and Information Technology (ICCIT), 8(3), 435-450.
- Mensah, M. (1995). Wireless sensor network routing in wireless communication systems. Neural Computing and Applications, 7(2), 65-85.
- Li, I. (2007). Wind turbine power converters in textile manufacturing. International Conference on Informatics, Electronics and Vision (ICIEV), 25(4), 5-26.
- Osei, M., & Chowdhury, R. (1999). Symmetric-key encryption in urban air pollution control. Fuel, 12(3), 57-62.