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Machine learning-enhanced Monte Carlo and subset simulations for advanced risk assessment in transportation infrastructure
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作者 Furquan AHMAD Pijush SAMUI s.s.mishra 《Journal of Mountain Science》 SCIE CSCD 2024年第2期690-717,共28页
The maintenance of safety and dependability in rail and road embankments is of utmost importance in order to facilitate the smooth operation of transportation networks.This study introduces a comprehensive methodology... The maintenance of safety and dependability in rail and road embankments is of utmost importance in order to facilitate the smooth operation of transportation networks.This study introduces a comprehensive methodology for soil slope stability evaluation,employing Monte Carlo Simulation(MCS)and Subset Simulation(SS)with the"UPSS 3.0 Add-in"in MS-Excel.Focused on an 11.693-meter embankment with a soil slope(inclination ratio of 2H:1V),the investigation considers earthquake coefficients(kh)and pore water pressure ratios(ru)following Indian zoning requirements.The chance of slope failure showed a considerable increase as the Coefficient of Variation(COV),seismic coefficients(kh),and pore water pressure ratios(ru)experienced an escalation.The SS approach showed exceptional efficacy in calculating odds of failure that are notably low.Within computational modeling,the study optimized the worst-case scenario using ANFIS-GA,ANFIS-GWO,ANFIS-PSO,and ANFIS-BBO models.The ANFIS-PSO model exhibits exceptional accuracy(training R2=0.9011,RMSE=0.0549;testing R2=0.8968,RMSE=0.0615),emerging as the most promising.This study highlights the significance of conducting thorough risk assessments and offers practical insights into evaluating and improving the stability of soil slopes in transportation infrastructure.These findings contribute to the enhancement of safety and reliability in real-world situations. 展开更多
关键词 Monte Carlo Simulation Subset Simulation Machine Learning Seismic coefficient
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Synthesis, Electrical Conductivity, and Dielectric Behaviour of Polyaniline Doped with H2SO4;HCl and (HCl + NaNO2) Mixture
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作者 J.Mohanty s.s.mishra +2 位作者 T.R.Das Mohapatra1 S.R.Mishra T.Badapanda 《Non-Metallic Material Science》 2020年第2期15-18,共4页
Acid doped Polyaniline(PANI)due to their increased electrical conductivity,are considered to be the most promising conducting filler materials.Hence,the present study,reports the synthesis of the PANI followed by acid... Acid doped Polyaniline(PANI)due to their increased electrical conductivity,are considered to be the most promising conducting filler materials.Hence,the present study,reports the synthesis of the PANI followed by acid doping,electrical conductivity and dielectric properties measurements of H2SO4;HCl and(Conc.HCl+NaNO2mixture)doped PANI.In order to know the effect of acetone washing on the electrical properties of acid doped PANI samples,the electrical properties of the non-acetone washed acid doped PANI samples are compared with that of their acetone washed counterparts.The PANI salt was prepared by conventional route using aniline hydrochloride and ammonium persulphate as an oxidant.PANI salt was subjected to 0.5M NaOH to form PANI base,which was further doped separately with H2SO4;HCl and(Conc.HCl+NaNO2mixture)respectively followed by acetone washing.A comparative electrical conductivity study between the acetone washed and unwashed PANI salt and H2SO4,HCl and Conc.HCl+NaNO2 mixture doped PANI were characterized by dielectric and impedance study. 展开更多
关键词 PANI H2SO4 HCL NaNO2 Dielectric permitivity Electrical conductivity
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