ISSN (Online): 2321-3418
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Engineering and Computer Science
Open Access

Appraisal of Bhatta Waste as an Admixture for the Stabilization of Fill Soil

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DOI: 10.18535/ijsrm/v12i07.ec01· Pages: 1299-1339· Vol. 12, No. 07, (2024)· Published: July 8, 2024
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Abstract

Testing of soil and knowing its strength parameter’s is one of the basic components in construction. Testing of soil is carried out to find whether the existing soil can endure the burden of structure withheld upon it or not. In case of a weak soil, one can find difficult to pursue construction or any development project. While talking of solutions, there are many methods to improve its strength and properties: one of them which we decided to work on is ‘Appraisal of Bhatta Waste as an Admixture for the Stabilization of Fill Soil’. It’s a kind of cost effective & economical means of improving soil, as the basic material required for stabilization is Bhatta waste, which is normally easily available material. The main objective of our test is to check the effectiveness of Bhatta waste on mechanical properties of filled material. The testing comprised of performing Atterberg limit, UCS, direct shear test, sieve analysis, Moisture dry density and Permeability test. The Bhatta waste passing no. 40 sieve is mixed with fill soil and testing on different proportions was carried out. Summary was prepared for explanation of engineering properties of different proportions, while further testing on higher proportions is recommended.

Keywords

Fill soilBhatta waste

References

  1. Hidalgo, C., Carvajal, G., & Muñoz, F. (2019). Laboratory Evaluation of Finely Milled Brick Debris as a Soil Stabilizer. Sustainability, 11(4), 967.Google Scholar ↗
  2. Fang, S. E., Hong, H. S., & Zhang, P. H. (2018). Mechanical property tests and strength formulas of basalt fiber reinforced recycled aggregate concrete. Materials, 11(10), 1851.Google Scholar ↗
  3. Bektas, F., Wang, K., & Ceylan, H. (2009). Effects of crushed clay brick aggregate on mortar durability. Construction and Building Materials, 23(5), 1909-1914.Google Scholar ↗
  4. Dhowian, A. W., & Edil, T. B. (1980). Consolidation behavior of peats. Geotechnical Testing Journal, 3(3), 105-114.Google Scholar ↗
  5. Zhang, L. (2013). Production of bricks from waste materials–A review. Construction and building materials, 47, 643-655Google Scholar ↗
  6. Bhatt, A., Priyadarshini, S., Mohanakrishnan, A. A., Abri, A., Sattler, M., & Techapaphawit, S. (2019). Physical, chemical, and geotechnical properties of coal fly ash: A global review. Case Studies in Construction Materials, 11, e00263.Google Scholar ↗
  7. Fırat, S., Dikmen, S., Yılmaz, G., & Khatib, J. M. (2020). Characteristics of engineered waste materials used for road subbase layers. KSCE Journal of Civil Engineering, 24(9), 2643-2656.Google Scholar ↗
  8. Zimar, Z., Robert, D., Sidiq, A., Zhou, A., Giustozzi, F., Setunge, S., & Kodikara, J. (2022). Waste-to-energy ash for treating highly expansive clays in road pavements. Journal of Cleaner Production, 374, 133854.Google Scholar ↗
  9. Dandin, S., Kulkarni, M., Wagale, M., & Sathe, S. (2022). A review on the geotechnical response of fly ash-colliery spoil blend and stability of coal mine dump. Cleaner Waste Systems, 3, 100040.Google Scholar ↗
  10. Koukouzas, N., Tyrologou, P., Koutsovitis, P., Karapanos, D., Karkalis, C., & Zografou, P. (2022). 15–Soil stabilization. Handbook of Fly Ash, 475.Google Scholar ↗
  11. Danso, H., Martinson, B., Ali, M., & Mant, C. (2015). Performance characteristics of enhanced soil blocks: a quantitative review. Building Research & Information, 43(2), 253-262.Google Scholar ↗
  12. Turan, C., Javadi, A. A., Vinai, R., & Beig Zali, R. (2022). Geotechnical characteristics of fine-grained soils stabilized with fly ash, a review. Sustainability, 14(24), 16710.Google Scholar ↗
  13. Raut, Z. P., & Verma, M. P. (2024). Comprehensive Review of Soil Stabilization through Reinforcement Methods in Civil Engineering. International Journal of Innovative Research in Technology and Science, 12(2), 520-530.Google Scholar ↗
  14. Zhang, Z., Zhao, C., Rao, Y., Yu, C., Luo, Z., Zhao, H., ... & Wang, Q. (2023). Solidification/stabilization and risk assessment of heavy metals in municipal solid waste incineration fly ash: A review. Science of The Total Environment, 164451.Google Scholar ↗
  15. Malik, A., & Thapliyal, A. (2009). Eco-friendly fly ash utilization: potential for land application. Critical Reviews in Environmental Science and Technology, 39(4), 333-366.Google Scholar ↗
  16. Kumar, A., Bhattacharya, T., Shaikh, W. A., Roy, A., Mukherjee, S., & Kumar, M. (2021). Performance evaluation of crop residue and kitchen waste-derived biochar for eco-efficient removal of arsenic from soils of the Indo-Gangetic plain: a step towards sustainable pollution management. Environmental Research, 200, 111758.Google Scholar ↗
  17. Bahrami, A., Soltani, N., Pech-Canul, M. I., & Gutiérrez, C. A. (2016). Development of metal-matrix composites from industrial/agricultural waste materials and their derivatives. Critical Reviews in Environmental Science and Technology, 46(2), 143-208.Google Scholar ↗
  18. Yadav, V. K., Yadav, K. K., Tirth, V., Gnanamoorthy, G., Gupta, N., Algahtani, A., ... & Jeon, B. H. (2021). Extraction of value-added minerals from various agricultural, industrial and domestic wastes. Materials, 14(21), 6333.Google Scholar ↗
  19. Norouzi, A., Uygar, E., & Nalbantoglu, Z. (2022). A review on the effects of landfill leachate on the physical and mechanical properties of compacted clay liners for municipality landfills. Arabian Journal of Geosciences, 15(12), 1174.Google Scholar ↗
  20. Kollaros, G., & Athanasopoulou, A. (2016). Sand as a soil stabilizer. Bulletin of the Geological Society of Greece, 50(2), 770-777.Google Scholar ↗
  21. Kotelnikova, A. D., Rogova, O. B., Karpukhina, E. A., Solopov, A. B., Levin, I. S., Levkina, V. V., ... & Volkov, D. S. (2022). Assessment of the structure, composition, and agrochemical properties of fly ash and ash-and-slug waste from coal-fired power plants for their possible use as soil ameliorants. Journal of Cleaner Production, 333, 130088.Google Scholar ↗
  22. Rathour, R. K., Devi, M., Dahiya, P., Sharma, N., Kaushik, N., Kumari, D., ... & Bhatia, R. K. (2023). Recent trends, opportunities and challenges in sustainable management of rice straw waste biomass for green biorefinery. Energies, 16(3), 1429.Google Scholar ↗
  23. Sarangi, B. K., Mudliar, S. N., Bhatt, P., Kalve, S., Chakrabarti, T., & Pandey, R. A. (2008). Compost from Sugar mill press mud and distillery spent wash for sustainable agriculture. Dyn Soil Dyn Plant, 2(1), 35-49.Google Scholar ↗
  24. Bhati, K. T., Kumar, S., Haileslassie, A., & Whitbread, A. M. (2017). Assessment of agricultural technologies for Dryland systems in South Asia: a case study of Western Rajasthan, India.Google Scholar ↗
  25. Brandon, T. L., Brown, J. J., Daniels, W. L., DeFazio, T. L., Filz, G. M., Mitchell, J. K., ... & Forsha, C. (2009). Rapid stabilization polymerization of Wet Clay Soils; Literature Review. Defense Technical Information Center, Virginia.Google Scholar ↗
  26. Mahedi, M., Cetin, B., & Dayioglu, A. Y. (2019). Leaching behavior of aluminum, copper, iron and zinc from cement activated fly ash and slag stabilized soils. Waste Management, 95, 334-355.Google Scholar ↗
  27. Mishra, S., Lin, Z., Pang, S., Zhang, Y., Bhatt, P., & Chen, S. (2021). Biosurfactant is a powerful tool for the bioremediation of heavy metals from contaminated soils. Journal of Hazardous Materials, 418, 126253.Google Scholar ↗
  28. Zhou, X., He, P., Peng, W., Lü, F., Shao, L., & Zhang, H. (2023). Upcycling of real-world HDPE plastic wastes into high-purity methane and hierarchical porous carbon materials: Influence of plastics additives. Journal of Environmental Chemical Engineering, 11(2), 109327.Google Scholar ↗
  29. Durak, H. (2023). Comprehensive assessment of thermochemical processes for sustainable waste management and resource recovery. Processes, 11(7), 2092.Google Scholar ↗
  30. Nayak, A. K., Raja, R., Rao, K. S., Shukla, A. K., Mohanty, S., Shahid, M., ... & Swain, C. K. (2015). Effect of fly ash application on soil microbial response and heavy metal accumulation in soil and rice plant. Ecotoxicology and environmental safety, 114, 257-262Google Scholar ↗
  31. Rizvi, S. M. H. (2024). Nanotechnology Applications in Enhanced Oil Recovery (EOR). Valley International Journal Digital Library, 135-143.Google Scholar ↗
  32. Tatineni, S. (2018). Federated Learning for Privacy-Preserving Data Analysis: Applications and Challenges. International Journal of Computer Engineering and Technology, 9(6).Google Scholar ↗
  33. Rizvi, S. M. H. (2024). Development of Sustainable Bio-Based Polymers as Alternatives to Petrochemical Plastics. Valley International Journal Digital Library, 107-124.Google Scholar ↗
  34. Tatineni, S. (2019). Beyond Accuracy: Understanding Model Performance on SQuAD 2.0 Challenges. International Journal of Advanced Research in Engineering and Technology (IJARET), 10(1), 566-581.Google Scholar ↗
  35. Rizvi, S. M. H. (2024). Advanced Analytical Techniques for Characterizing Petroleum-Derived Contaminants in the Environment. Valley International Journal Digital Library, 125-134.Google Scholar ↗
  36. Tatineni, S. (2019). Cost Optimization Strategies for Navigating the Economics of AWS Cloud Services. International Journal of Advanced Research in Engineering and Technology (IJARET), 10(6), 827-842.Google Scholar ↗
  37. Chaganti, K. R., & Chaganti, S. Deep Learning Based NLP and LSTM Models for Sentiment Classification of Consumer Tweets.Google Scholar ↗
  38. Tatineni, S. (2019). Blockchain and Data Science Integration for Secure and Transparent Data Sharing. International Journal of Advanced Research in Engineering and Technology (IJARET), 10(3), 470-480.Google Scholar ↗
  39. Nagesh, C., Chaganti, K. R., Chaganti, S., Khaleelullah, S., Naresh, P., & Hussan, M. (2023). Leveraging Machine Learning based Ensemble Time Series Prediction Model for Rainfall Using SVM, KNN and Advanced ARIMA+ E-GARCH. International Journal on Recent and Innovation Trends in Computing and Communication, 11(7s), 353-358.Google Scholar ↗
  40. Jacob, H. (2023). Blockchain and Data Science Integration for Secure and Transparent Data Sharing. International Journal of Computer Science and Information Technology Research, 4(2), 1-9.Google Scholar ↗
  41. Tatineni, S. (2023). AI-Infused Threat Detection and Incident Response in Cloud Security. International Journal of Science and Research (IJSR), 12(11), 998-1004.Google Scholar ↗
  42. Chaganti, K. R., Ramula, U. S., Sathyanarayana, C., Changala, R., Kirankumar, N., & Gupta, K. G. (2023, November). UI/UX Design for Online Learning Approach by Predictive Student Experience. In 2023 7th International Conference on Electronics, Communication and Aerospace Technology (ICECA) (pp. 794-799). IEEE.Google Scholar ↗
  43. Tatineni, S. (2019). Ethical Considerations in AI and Data Science: Bias, Fairness, and Accountability. International Journal of Information Technology and Management Information Systems (IJITMIS), 10(1), 11-21.Google Scholar ↗
  44. JOY, L., RUH, L., & Talati, D. An Exploration of Cognitive Assistants and Their Challenges.Google Scholar ↗
  45. Tatineni, S. (2020). Recommendation Systems for Personalized Learning: A Data-Driven Approach in Education. Journal of Computer Engineering and Technology (JCET), 4(2).Google Scholar ↗
  46. Talati, D. V. AI Integration with Electronic Health Records (EHR): A Synergistic Approach to Healthcare Informatics December, 2023.Google Scholar ↗
  47. Tatineni, S. (2021). Exploring the Challenges and Prospects in Data Science and Information Professions. International Journal of Management (IJM), 12(2), 1009-1014.Google Scholar ↗
  48. Talati, D. (2023). Artificial Intelligence (Ai) In Mental Health Diagnosis and Treatment. Journal of Knowledge Learning and Science Technology ISSN: 2959-6386 (online), 2(3), 251-253.Google Scholar ↗
  49. Talati, D. (2023). Telemedicine and AI in Remote Patient Monitoring. Journal of Knowledge Learning and Science Technology ISSN: 2959-6386 (online), 2(3), 254-255.Google Scholar ↗
  50. Parikh, D., Radadia, S., & Eranna, R. K. (2024). Privacy-Preserving Machine Learning Techniques, Challenges And Research Directions. International Research Journal of Engineering and Technology, 11(03), 499.Google Scholar ↗
  51. Dodiya, K., Radadia, S. K., & Parikh, D. (2024). Differential Privacy Techniques in Machine Learning for Enhanced Privacy PreservationGoogle Scholar ↗
  52. .Google Scholar ↗
Author details
Muhammad Umar
Department of Civil Engineering the University of Lahore Islamabad Campus
✉ Corresponding Author
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Muhammad Arslan Haider
Sarhad University of Information and Technology
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Engr. Moin-ud-Din
Department of Civil Engineering the University of Lahore Islamabad Campus
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