Deepak Patel
Open Access Journal of Engineering Applications · doi:10.55555/oajea.2012.3602.049
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.
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