Optimization of Egg Shell Powder and Lime for Waste Soil Improvement at Open Dumping Area Using Monte Carlo Simulations
Compressive strength; Intelligent systems; Lime; Mixing; Shells (structures); Soil mechanics; Soils; Stabilization; Egg shell powders; Open dumping area; Optimization value; Soil improvement; Waste soils; Monte Carlo methods
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my.uniten.dspace-257942023-05-29T16:14:23Z Optimization of Egg Shell Powder and Lime for Waste Soil Improvement at Open Dumping Area Using Monte Carlo Simulations Pauzi N.I.M. Aimran M.A. Ismail M.S. Radhi M.S.M. 26536518100 57213158882 57211614947 56178179800 Compressive strength; Intelligent systems; Lime; Mixing; Shells (structures); Soil mechanics; Soils; Stabilization; Egg shell powders; Open dumping area; Optimization value; Soil improvement; Waste soils; Monte Carlo methods The waste soil at open dumping area is prone to settlement problems. There are many soil stabilization methods available that can be used to improve soil strength. The addition of egg shell powder and lime for waste soil improvement is studied in this research. Soil stabilization method using the waste material as replacement to improve the strength has been explored widely. In this research, the egg shell powder and lime is added to the waste soil with the mixing portion of 2.5% lime and 2.5% egg shell powder, 5% lime and 5% egg shell powder and 7.5% lime and 7.5% egg shell powder. The compressive strength is conducted on the waste soil samples with different mixing ratio. The optimum value of the compressive strength is simulated using Monte Carlo simulation. In conclusion, there is potential for the waste soil to be improved in terms of strength using lime and egg shell powder. The compressive strength of waste soil is added with 2.5% lime and 2.5% ESP, 5% lime and 5% ESP, 7.5% lime and 7.5% ESP gave the results of 36.39, 70.66 and 337.13�kN/mm2 respectively at curing of 28�days, which satisfies the soil improvement requirement. The Monte Carlo Simulation and optimization of the result using the mean value show that the compressive strength is increase when the data is simulated N = 16 to N = 20. It has proved that the accuracy of the result has increased by using Monte Carlo Simulation and optimization. � Springer Nature Switzerland AG 2020. Final 2023-05-29T08:14:23Z 2023-05-29T08:14:23Z 2020 Book Chapter 10.1007/978-3-030-32816-0_3 2-s2.0-85077575525 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85077575525&doi=10.1007%2f978-3-030-32816-0_3&partnerID=40&md5=75c89cbb72dd1d0c018373063e83245b https://irepository.uniten.edu.my/handle/123456789/25794 53 35 46 Springer Scopus |
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Compressive strength; Intelligent systems; Lime; Mixing; Shells (structures); Soil mechanics; Soils; Stabilization; Egg shell powders; Open dumping area; Optimization value; Soil improvement; Waste soils; Monte Carlo methods |
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26536518100 |
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26536518100 Pauzi N.I.M. Aimran M.A. Ismail M.S. Radhi M.S.M. |
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Pauzi N.I.M. Aimran M.A. Ismail M.S. Radhi M.S.M. |
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Pauzi N.I.M. Aimran M.A. Ismail M.S. Radhi M.S.M. Optimization of Egg Shell Powder and Lime for Waste Soil Improvement at Open Dumping Area Using Monte Carlo Simulations |
author_sort |
Pauzi N.I.M. |
title |
Optimization of Egg Shell Powder and Lime for Waste Soil Improvement at Open Dumping Area Using Monte Carlo Simulations |
title_short |
Optimization of Egg Shell Powder and Lime for Waste Soil Improvement at Open Dumping Area Using Monte Carlo Simulations |
title_full |
Optimization of Egg Shell Powder and Lime for Waste Soil Improvement at Open Dumping Area Using Monte Carlo Simulations |
title_fullStr |
Optimization of Egg Shell Powder and Lime for Waste Soil Improvement at Open Dumping Area Using Monte Carlo Simulations |
title_full_unstemmed |
Optimization of Egg Shell Powder and Lime for Waste Soil Improvement at Open Dumping Area Using Monte Carlo Simulations |
title_sort |
optimization of egg shell powder and lime for waste soil improvement at open dumping area using monte carlo simulations |
publisher |
Springer |
publishDate |
2023 |
_version_ |
1806423549280256000 |
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13.214268 |