Grouting in rock caverns
In light of Singapore’s rising population along with its land scarcity, underground construction has become a more feasible alternative to regular land builds due to its advantage of freeing land space. However, despite such a benefit, many still abstain from this option due to the high cost of cons...
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| Формат: | Final Year Project (FYP) |
| Мова: | English |
| Опубліковано: |
Nanyang Technological University
2021
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| Предмети: | |
| Онлайн доступ: | https://hdl.handle.net/10356/154377 |
| _version_ | 1826123998510972928 |
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| author | Foo, Cheryl Yock Ping |
| author2 | Zhao Zhiye |
| author_facet | Zhao Zhiye Foo, Cheryl Yock Ping |
| author_sort | Foo, Cheryl Yock Ping |
| collection | NTU |
| description | In light of Singapore’s rising population along with its land scarcity, underground construction has become a more feasible alternative to regular land builds due to its advantage of freeing land space. However, despite such a benefit, many still abstain from this option due to the high cost of construction related to it. Such high cost is mainly derived from the uncertainty of rock geology beneath the ground along with potential seepage leaks due to high water table. In response, grouting is a solution commonly employed to seal off seepage, but due to the variation of ground stratum, there is a tendency to over grout to ensure safety. However, this adds an additional financial burden. This report focuses on the usage of an Artificial Neural Network to create a regression model that is capable of predicting the grout volume required as a guideline for engineers to follow when grouting to prevent excessive over grouting. Different Analysis will be carried out to identify key parameters from data that is easily obtained during the process of grouting, and multiple iterations will be done to ensure the model’s reliability and precision. |
| first_indexed | 2024-10-01T06:13:30Z |
| format | Final Year Project (FYP) |
| id | ntu-10356/154377 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T06:13:30Z |
| publishDate | 2021 |
| publisher | Nanyang Technological University |
| record_format | dspace |
| spelling | ntu-10356/1543772021-12-22T12:46:35Z Grouting in rock caverns Foo, Cheryl Yock Ping Zhao Zhiye School of Civil and Environmental Engineering CZZHAO@ntu.edu.sg Engineering::Civil engineering In light of Singapore’s rising population along with its land scarcity, underground construction has become a more feasible alternative to regular land builds due to its advantage of freeing land space. However, despite such a benefit, many still abstain from this option due to the high cost of construction related to it. Such high cost is mainly derived from the uncertainty of rock geology beneath the ground along with potential seepage leaks due to high water table. In response, grouting is a solution commonly employed to seal off seepage, but due to the variation of ground stratum, there is a tendency to over grout to ensure safety. However, this adds an additional financial burden. This report focuses on the usage of an Artificial Neural Network to create a regression model that is capable of predicting the grout volume required as a guideline for engineers to follow when grouting to prevent excessive over grouting. Different Analysis will be carried out to identify key parameters from data that is easily obtained during the process of grouting, and multiple iterations will be done to ensure the model’s reliability and precision. Bachelor of Engineering (Civil) 2021-12-22T12:46:34Z 2021-12-22T12:46:34Z 2021 Final Year Project (FYP) Foo, C. Y. P. (2021). Grouting in rock caverns. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/154377 https://hdl.handle.net/10356/154377 en GE-41AB application/pdf Nanyang Technological University |
| spellingShingle | Engineering::Civil engineering Foo, Cheryl Yock Ping Grouting in rock caverns |
| title | Grouting in rock caverns |
| title_full | Grouting in rock caverns |
| title_fullStr | Grouting in rock caverns |
| title_full_unstemmed | Grouting in rock caverns |
| title_short | Grouting in rock caverns |
| title_sort | grouting in rock caverns |
| topic | Engineering::Civil engineering |
| url | https://hdl.handle.net/10356/154377 |
| work_keys_str_mv | AT foocherylyockping groutinginrockcaverns |