Kajian Pustaka Pemanfaatan Sistem Informasi Geografis untuk Pengolahan dan Penyajian Data Geoteknik
##plugins.themes.academic_pro.article.main##
Published
Oct 27, 2024
Abstract
Daya dukung tanah sangat penting dalam sebuah perencanaan stuktur pondasi bangunan, biaya penelitian tanah yang mahal menjadi penyebab tingginya biaya perencanaan. Oleh karena itu perlu solusi untuk mendapatkan nilai daya dukung tanah yang sesuai dengan kondisi sebenarnya. Penggunaan data tanah khususnya dari Cone Penetration Test (CPT), memainkan peran penting dalam analisis daya dukung untuk mencegah kegagalan fondasi tiang pancang. Analisis daya dukung dari data CPT telah banyak dikembangkan untuk memprediksi kapasitas aksial tiang dan juga mendapatkan jenis tanahnya (Shahin et al., 2010). Hubungan antara tahanan ujung, gesekan samping, dan sifat tanah yang diperoleh dari uji CPT sangat penting untuk merancang fondasi tiang (Wu et al., 2018). Selain itu, korelasi data CPT dengan kapasitas tiang telah menunjukkan hasil yang memuaskan karena informasi sifat tanah yang dapat digunakan sebagai tambahan informasi (Alkroosh & Nikraz, 2011). GIS terbukti lebih efisien dalam mengolah data dalam jumlah besar dan memberikan hasil yang lebih reliabel (Qader et al., 2023). Teknik ini memungkinkan analisis data yang lebih cepat dan akurat. GIS membantu dalam pemahaman yang lebih baik tentang struktur bawah tanah dan mendukung keputusan yang lebih informatif dalam perencanaan pembangunan dan disarankan agar penggunaan GIS diperluas untuk analisis geoteknik yang lebih komprehensif.
##plugins.themes.academic_pro.article.details##
This work is licensed under a Creative Commons Attribution 4.0 International License.
Hak Cipta :
Penulis yang mempublikasikan manuskripnya di jurnal ini menyetujui ketentuan berikut:
- Hak cipta pada setiap artikel adalah milik penulis.
- Penulis mengakui bahwa Ranah Research : Journal of Multidisciplinary Research and Development berhak menjadi yang pertama menerbitkan dengan lisensi Creative Commons Attribution 4.0 International (Attribution 4.0 International CC BY 4.0) .
- Penulis dapat mengirimkan artikel secara terpisah, mengatur distribusi non-eksklusif manuskrip yang telah diterbitkan dalam jurnal ini ke versi lain (misalnya, dikirim ke repositori institusi penulis, publikasi ke dalam buku, dll.), dengan mengakui bahwa manuskrip telah diterbitkan pertama kali di Ranah Research.
How to Cite
hamdani, D., Pratikso , P. and Firmana A, Y. (2024) “Kajian Pustaka Pemanfaatan Sistem Informasi Geografis untuk Pengolahan dan Penyajian Data Geoteknik”, Ranah Research : Journal of Multidisciplinary Research and Development, 6(6), pp. 2813-2823. doi: 10.38035/rrj.v6i6.1156.
References
Abdulkarim Ibrahim, I., Yahaya, H. U., & Bagari, D. D. (2022). Mapping Of Geotechnical Properties Using Arcgis: A Case Study of Abubakar Tafawa Balewa University. Iconic Research and Engineering Journals, 5(9), 3–7.
Adam, J., Saleh, S., Olowosulu, A. T., Ashara, A. H., & Srividhya, S. (2018). Mapping of Soil Properties Using Geographical Information System (GIS): A Case Study of Hassan Usman Katsina Polytechnic. Open Journal of Civil Engineering, 8(4), 544–554. https://doi.org/10.4236/ojce.2018.84039
Agung, P. A. M., Hasan, M. F. R., Ahmad, M. A., Martina, N., & Saifullizan, M. B. (2022). Prediction of Qu and Ru Capacities of Pile in Clayey Soil Layer Using Geospatial Analysis. International Journal of GEOMATE, 23(98), 31–38. https://doi.org/10.21660/2022.98.3062
Al-Ani, H., Eslami-Andargoli, L., Oh, E., & Chai, G. (2013). Categorising geotechnical properties of surfers Paradise soil using geographic information system (GIS). International Journal of GEOMATE, 5(2), 690–695. https://doi.org/10.21660/2013.10.3114a
Al-Ani, H., Oh, E., & Chai, G. (2014). GIS-based examination of peats and soils in Surfers Paradise, Australia. Soil Science Annual, 65(1), 29–38. https://doi.org/10.2478/ssa-2014-0005
Al-Ani, H., Oh, E., Chai, G., & Liew, A. (2014). Identifying problematic soil layers in Surfers Paradise, Australia. Proceedings of the Twenty-Fourth (2014) International Ocean and Polar Engineering Conference, June, 748–753.
Al-Ani, H., Oh, E., Eslami-Andargoli, L., & Chai, G. (2013). Subsurface visualization of peat and soil by using GIS in Surfers Paradise, Southeast Queensland, Australia. Electronic Journal of Geotechnical Engineering, 18 I(May 2014), 1761–1774.
Al-Maliki, L. A. J., Al-Mamoori, S. K., El-Tawel, K., Hussain, H. M., Al-Ansari, N., & Jawad Al Ali, M. (2018). Bearing Capacity Map for An-Najaf and Kufa Cities Using GIS. Engineering, 10(5), 262–269. https://doi.org/10.4236/eng.2018.105018
Al-Mamoori, S. K., Al-Maliki, L. A., Al-Sulttani, A. H., El-Tawil, K., & Al-Ansari, N. (2021). Statistical analysis of the best GIS interpolation method for bearing capacity estimation in An-Najaf City, Iraq. Environmental Earth Sciences, 80(20), 1–14. https://doi.org/10.1007/s12665-021-09971-2
Al-Mamoori, S. K., Al-Maliki, L. A., Hussain, H. M., & Al-Ali, M. J. (2018). Geotechnical Mapping for Some Chemical Properties of an-Najaf Province Using GIS. Kufa Journal of Engineering, 9(3), 92–113.
Aldefae, A. H., & Mohammed, J. (2020). Digital maps of mechanical geotechnical parameters using GIS. Cogent Engineering, 7(1), 1–22. https://doi.org/10.1080/23311916.2020.1779563
Alkroosh, I., & Nikraz, H. (2011). Correlation of pile axial capacity and CPT data using gene expression programming. Geotechnical and Geological Engineering, 29(5), 725-748. https://doi.org/10.1007/s10706-011-9413-1
Arshid, M., & Kamal, M. (2020). Regional geotechnical mapping employing kriging on electronic geodatabase. Applied Sciences, 10(21), 7625. https://doi.org/10.3390/app10217625
Daniyal, M., Sohail, G. M., & Rashid, H. M. A. (2023). GIS-based mapping of geotechnical and geophysical properties of Lahore soils. Environmental Earth Sciences, 82(22), 1–20. https://doi.org/10.1007/s12665-023-11201-w
David Rogers, J., & Luna, R. (2004). Impact of Geographical Information Systems on Geotechnical Engineering. Fifth International Conference on Case Histories in Geotechnical Engineering, April, 1–23. https://www.researchgate.net/publication/242474451
energy projects." Renewable Energy, 178, 1244-1258.
Firdaus, M. (2023). Correlation study of the cone penetration test in the field with a laboratory test on soft soil in Banjarmasin. Jurnal Multidisiplin Madani, 3(10), 2155-2162. https://doi.org/10.55927/mudima.v3i10.6530
Kareem Al-Mamoori, S., L. Kareem, S., A. Al-Maliki, L., & El-Tawil, K. (2021). Geotechnical Maps for Angle of Internal Friction of An-Najaf Soil-Iraq Using GIS. Wasit Journal of Engineering Sciences, 8(2), 48–57. https://doi.org/10.31185/ejuow.vol8.iss2.166
Khan, F., Das, B., Mishra, S. R. K., & Awasthy, M. (2021). A review on the Feasibility and Application of Geospatial Techniques in Geotechnical Engineering Field. Materials Today: Proceedings, 49(March), 311–319. https://doi.org/10.1016/j.matpr.2021.02.108
Khatri, S., & Suman, S. (2019). Mapping of Soil Geotechnical Properties Using GIS. Indian Conference on GEOTECHNICAL AND GEO-ENVIRONMENTAL ENGINEERING (ICGGE-2019), March, 1–4. https://www.researchgate.net/publication/335110231
Kirupakaran, K., & Muraleetharan, K. K. (2013). Performance of Pile Foundations with Cement Deep Soil Mixing (CDSM) under Seismic Loading. Journal of Geotechnical and Geoenvironmental Engineering, 139(4), 599-610. https://doi.org/10.1061/(ASCE)GT.1943-5606.0000805
Li, C., Ma, X., Xue, S., Chen, H., Qin, P., & Li, G. (2021). Compressive capacity of vortex-compression nodular piles. Advances in Civil Engineering, 2021, 1-18. https://doi.org/10.1155/2021/6674239
Ma’ruf, M., Ritonga, F., & ‘Azizah, B. (2020). The stabilization of soft soil using admixture of palm oil boiler ash and matos. IOP Conference Series: Materials Science and Engineering, 930(1), 012038. https://doi.org/10.1088/1757-899x/930/1/012038
Martínez-Graña, A. M., Goy, J. L., Zazo, C., & Yenes, M. (2013). Engineering geology maps for planning and management of natural parks: “Las Batuecas-Sierra de Francia” and “Quilamas” (central Spanish system, Salamanca, Spain). Geosciences, 3(1), 46-62. https://doi.org/10.3390/geosciences3010046
Moayedi, H., Mosallanezhad, M., & Назир, Р. (2017). Evaluation of maintained load test (mlt) and pile driving analyzer (pda) in measuring bearing capacity of driven reinforced concrete piles. Soil Mechanics and Foundation Engineering, 54(3), 150-154. https://doi.org/10.1007/s11204-017-9449-1
Muzaidi, I., Anggarini, E., & Hardiani, D. (2022). Solidifikasi struktur tanah lempung lunak Banjarmasin dengan limbah plastik PET (polyethylene terephthalate). Extrapolasi, 19(01), 1-8. https://doi.org/10.30996/ep.v19i01.5520
Parmar, S. (2024). Rs & Gis In Geotechnical Engineering: A Comprehensive Overview and Applications. Engineering: Open Access, 2(1), 13–27. https://doi.org/10.33140/eoa.02.01.03
Pham, T. and Vu, H. (2021). Application of ensemble learning using weight voting protocol in the prediction of pile bearing capacity. Mathematical Problems in Engineering, 2021, 1-14. https://doi.org/10.1155/2021/5558449
Prativi, A., Dewi, P., Sutra, N., Adi, W., & Weijia, C. (2022). Comparison of individual bored pile bearing capacity using the results of standard penetration test (spt) and pile driving analysis (pda) test of the railway bridge foundation. Journal of Railway Transportation and Technology, 1(2), 14-23. https://doi.org/10.37367/jrtt.v1i2.9
Prayogo, D., & Susanto, Y. (2019). Optimizing the prediction accuracy of load-settlement behavior of single pile using a self-learning data mining approach. Matec Web of Conferences, 258, 02010. https://doi.org/10.1051/matecconf/201925802010
Qader, Z. B., Karabash, Z., & Cabalar, A. F. (2023). Analyzing Geotechnical Characteristics of Soils in Erbil via GIS and ANNs. Sustainability (Switzerland), 15(5), 1–39. https://doi.org/10.3390/su15054030
Robertson, P. (2009). Interpretation of cone penetration tests — a unified approach. Canadian Geotechnical Journal, 46(11), 1337-1355. https://doi.org/10.1139/t09-065
Samugavelu, D., & Ghani, A. N. A. (2016). Civil infrastructure and building design: The development of GIS database and product as design aid. Jurnal Teknologi, 78(5), 421–429. https://doi.org/10.11113/jt.v78.8347
Sari, U. (2023). The bearing capacity analysis of deep foundation based on in-situ dynamic penetration test compared to pile driving analyzer (pda). Iop Conference Series Earth and Environmental Science, 1203(1), 012017. https://doi.org/10.1088/1755-1315/1203/1/012017
Sebbab, M. M., El Ouahidi, A., Ousbih, M., Ouboulahcen, S., Abdelrahman, K., & Abioui, M. (2023). Integrated Geotechnical Approach and GIS for Identification of Geological Resources Exploitable Quarries for Sustainable Development in Ifni Inlier and Lakhssas Plateau (Western Anti Atlas, Morocco). Applied Sciences (Switzerland), 13(6), 1–18. https://doi.org/10.3390/app13063932
Selvamsagayaradja, M., Murugaiyan, V., & Sundarajan, T. (2023). Investigation on Expansive Soil Problems Associated with Damages in Low Rise Buildings along South East Coast of India: A Geotechnical Mapping Approach. In Techniques and Innovation in Engineering Research Vol. 7 (Issue May, pp. 106–129). https://doi.org/10.9734/bpi/taier/v7/3959c
Shahin, M. (2010). Intelligent computing for modeling axial capacity of pile foundations. Canadian Geotechnical Journal, 47(2), 230-243. https://doi.org/10.1139/t09-094
Tjitradi, D., Eliatun, E., & Tjitradi, O. (2021). Pemodelan penurunan Fondasi struktur bangunan di tanah lunak kota Banjarmasin menggunakan ANSYS. Borneo Engineering Journal Teknik Sipil, 5(2), 117-130. https://doi.org/10.35334/be.v5i2.1964
Wan-Mohamad, W. N. S., & Abdul-Ghani, A. N. (2011). The use of geographic information system (GIS) for geotechnical data processing and presentation. Procedia Engineering, 20, 397–406. https://doi.org/10.1016/j.proeng.2011.11.182
Wu, B., Wang, G., Li, J., Wang, Y., & Liu, B. (2018). Determination of the engineering properties of submarine soil layers in the bohai sea using the piezocone penetration test. Advances in Civil Engineering, 2018, 1-13. https://doi.org/10.1155/2018/9651045
Zakariya, A., Rifa'i, A., Ismanti, S., & Hidayat, M. (2023). Axial and lateral bearing capacity assessment of bored piles on medium-dense sand and liquefiable potential based on numerical simulation. IOP Conference Series Earth and Environmental Science, 1184(1), 012007. https://doi.org/10.1088/1755-1315/1184/1/012007
Adam, J., Saleh, S., Olowosulu, A. T., Ashara, A. H., & Srividhya, S. (2018). Mapping of Soil Properties Using Geographical Information System (GIS): A Case Study of Hassan Usman Katsina Polytechnic. Open Journal of Civil Engineering, 8(4), 544–554. https://doi.org/10.4236/ojce.2018.84039
Agung, P. A. M., Hasan, M. F. R., Ahmad, M. A., Martina, N., & Saifullizan, M. B. (2022). Prediction of Qu and Ru Capacities of Pile in Clayey Soil Layer Using Geospatial Analysis. International Journal of GEOMATE, 23(98), 31–38. https://doi.org/10.21660/2022.98.3062
Al-Ani, H., Eslami-Andargoli, L., Oh, E., & Chai, G. (2013). Categorising geotechnical properties of surfers Paradise soil using geographic information system (GIS). International Journal of GEOMATE, 5(2), 690–695. https://doi.org/10.21660/2013.10.3114a
Al-Ani, H., Oh, E., & Chai, G. (2014). GIS-based examination of peats and soils in Surfers Paradise, Australia. Soil Science Annual, 65(1), 29–38. https://doi.org/10.2478/ssa-2014-0005
Al-Ani, H., Oh, E., Chai, G., & Liew, A. (2014). Identifying problematic soil layers in Surfers Paradise, Australia. Proceedings of the Twenty-Fourth (2014) International Ocean and Polar Engineering Conference, June, 748–753.
Al-Ani, H., Oh, E., Eslami-Andargoli, L., & Chai, G. (2013). Subsurface visualization of peat and soil by using GIS in Surfers Paradise, Southeast Queensland, Australia. Electronic Journal of Geotechnical Engineering, 18 I(May 2014), 1761–1774.
Al-Maliki, L. A. J., Al-Mamoori, S. K., El-Tawel, K., Hussain, H. M., Al-Ansari, N., & Jawad Al Ali, M. (2018). Bearing Capacity Map for An-Najaf and Kufa Cities Using GIS. Engineering, 10(5), 262–269. https://doi.org/10.4236/eng.2018.105018
Al-Mamoori, S. K., Al-Maliki, L. A., Al-Sulttani, A. H., El-Tawil, K., & Al-Ansari, N. (2021). Statistical analysis of the best GIS interpolation method for bearing capacity estimation in An-Najaf City, Iraq. Environmental Earth Sciences, 80(20), 1–14. https://doi.org/10.1007/s12665-021-09971-2
Al-Mamoori, S. K., Al-Maliki, L. A., Hussain, H. M., & Al-Ali, M. J. (2018). Geotechnical Mapping for Some Chemical Properties of an-Najaf Province Using GIS. Kufa Journal of Engineering, 9(3), 92–113.
Aldefae, A. H., & Mohammed, J. (2020). Digital maps of mechanical geotechnical parameters using GIS. Cogent Engineering, 7(1), 1–22. https://doi.org/10.1080/23311916.2020.1779563
Alkroosh, I., & Nikraz, H. (2011). Correlation of pile axial capacity and CPT data using gene expression programming. Geotechnical and Geological Engineering, 29(5), 725-748. https://doi.org/10.1007/s10706-011-9413-1
Arshid, M., & Kamal, M. (2020). Regional geotechnical mapping employing kriging on electronic geodatabase. Applied Sciences, 10(21), 7625. https://doi.org/10.3390/app10217625
Daniyal, M., Sohail, G. M., & Rashid, H. M. A. (2023). GIS-based mapping of geotechnical and geophysical properties of Lahore soils. Environmental Earth Sciences, 82(22), 1–20. https://doi.org/10.1007/s12665-023-11201-w
David Rogers, J., & Luna, R. (2004). Impact of Geographical Information Systems on Geotechnical Engineering. Fifth International Conference on Case Histories in Geotechnical Engineering, April, 1–23. https://www.researchgate.net/publication/242474451
energy projects." Renewable Energy, 178, 1244-1258.
Firdaus, M. (2023). Correlation study of the cone penetration test in the field with a laboratory test on soft soil in Banjarmasin. Jurnal Multidisiplin Madani, 3(10), 2155-2162. https://doi.org/10.55927/mudima.v3i10.6530
Kareem Al-Mamoori, S., L. Kareem, S., A. Al-Maliki, L., & El-Tawil, K. (2021). Geotechnical Maps for Angle of Internal Friction of An-Najaf Soil-Iraq Using GIS. Wasit Journal of Engineering Sciences, 8(2), 48–57. https://doi.org/10.31185/ejuow.vol8.iss2.166
Khan, F., Das, B., Mishra, S. R. K., & Awasthy, M. (2021). A review on the Feasibility and Application of Geospatial Techniques in Geotechnical Engineering Field. Materials Today: Proceedings, 49(March), 311–319. https://doi.org/10.1016/j.matpr.2021.02.108
Khatri, S., & Suman, S. (2019). Mapping of Soil Geotechnical Properties Using GIS. Indian Conference on GEOTECHNICAL AND GEO-ENVIRONMENTAL ENGINEERING (ICGGE-2019), March, 1–4. https://www.researchgate.net/publication/335110231
Kirupakaran, K., & Muraleetharan, K. K. (2013). Performance of Pile Foundations with Cement Deep Soil Mixing (CDSM) under Seismic Loading. Journal of Geotechnical and Geoenvironmental Engineering, 139(4), 599-610. https://doi.org/10.1061/(ASCE)GT.1943-5606.0000805
Li, C., Ma, X., Xue, S., Chen, H., Qin, P., & Li, G. (2021). Compressive capacity of vortex-compression nodular piles. Advances in Civil Engineering, 2021, 1-18. https://doi.org/10.1155/2021/6674239
Ma’ruf, M., Ritonga, F., & ‘Azizah, B. (2020). The stabilization of soft soil using admixture of palm oil boiler ash and matos. IOP Conference Series: Materials Science and Engineering, 930(1), 012038. https://doi.org/10.1088/1757-899x/930/1/012038
Martínez-Graña, A. M., Goy, J. L., Zazo, C., & Yenes, M. (2013). Engineering geology maps for planning and management of natural parks: “Las Batuecas-Sierra de Francia” and “Quilamas” (central Spanish system, Salamanca, Spain). Geosciences, 3(1), 46-62. https://doi.org/10.3390/geosciences3010046
Moayedi, H., Mosallanezhad, M., & Назир, Р. (2017). Evaluation of maintained load test (mlt) and pile driving analyzer (pda) in measuring bearing capacity of driven reinforced concrete piles. Soil Mechanics and Foundation Engineering, 54(3), 150-154. https://doi.org/10.1007/s11204-017-9449-1
Muzaidi, I., Anggarini, E., & Hardiani, D. (2022). Solidifikasi struktur tanah lempung lunak Banjarmasin dengan limbah plastik PET (polyethylene terephthalate). Extrapolasi, 19(01), 1-8. https://doi.org/10.30996/ep.v19i01.5520
Parmar, S. (2024). Rs & Gis In Geotechnical Engineering: A Comprehensive Overview and Applications. Engineering: Open Access, 2(1), 13–27. https://doi.org/10.33140/eoa.02.01.03
Pham, T. and Vu, H. (2021). Application of ensemble learning using weight voting protocol in the prediction of pile bearing capacity. Mathematical Problems in Engineering, 2021, 1-14. https://doi.org/10.1155/2021/5558449
Prativi, A., Dewi, P., Sutra, N., Adi, W., & Weijia, C. (2022). Comparison of individual bored pile bearing capacity using the results of standard penetration test (spt) and pile driving analysis (pda) test of the railway bridge foundation. Journal of Railway Transportation and Technology, 1(2), 14-23. https://doi.org/10.37367/jrtt.v1i2.9
Prayogo, D., & Susanto, Y. (2019). Optimizing the prediction accuracy of load-settlement behavior of single pile using a self-learning data mining approach. Matec Web of Conferences, 258, 02010. https://doi.org/10.1051/matecconf/201925802010
Qader, Z. B., Karabash, Z., & Cabalar, A. F. (2023). Analyzing Geotechnical Characteristics of Soils in Erbil via GIS and ANNs. Sustainability (Switzerland), 15(5), 1–39. https://doi.org/10.3390/su15054030
Robertson, P. (2009). Interpretation of cone penetration tests — a unified approach. Canadian Geotechnical Journal, 46(11), 1337-1355. https://doi.org/10.1139/t09-065
Samugavelu, D., & Ghani, A. N. A. (2016). Civil infrastructure and building design: The development of GIS database and product as design aid. Jurnal Teknologi, 78(5), 421–429. https://doi.org/10.11113/jt.v78.8347
Sari, U. (2023). The bearing capacity analysis of deep foundation based on in-situ dynamic penetration test compared to pile driving analyzer (pda). Iop Conference Series Earth and Environmental Science, 1203(1), 012017. https://doi.org/10.1088/1755-1315/1203/1/012017
Sebbab, M. M., El Ouahidi, A., Ousbih, M., Ouboulahcen, S., Abdelrahman, K., & Abioui, M. (2023). Integrated Geotechnical Approach and GIS for Identification of Geological Resources Exploitable Quarries for Sustainable Development in Ifni Inlier and Lakhssas Plateau (Western Anti Atlas, Morocco). Applied Sciences (Switzerland), 13(6), 1–18. https://doi.org/10.3390/app13063932
Selvamsagayaradja, M., Murugaiyan, V., & Sundarajan, T. (2023). Investigation on Expansive Soil Problems Associated with Damages in Low Rise Buildings along South East Coast of India: A Geotechnical Mapping Approach. In Techniques and Innovation in Engineering Research Vol. 7 (Issue May, pp. 106–129). https://doi.org/10.9734/bpi/taier/v7/3959c
Shahin, M. (2010). Intelligent computing for modeling axial capacity of pile foundations. Canadian Geotechnical Journal, 47(2), 230-243. https://doi.org/10.1139/t09-094
Tjitradi, D., Eliatun, E., & Tjitradi, O. (2021). Pemodelan penurunan Fondasi struktur bangunan di tanah lunak kota Banjarmasin menggunakan ANSYS. Borneo Engineering Journal Teknik Sipil, 5(2), 117-130. https://doi.org/10.35334/be.v5i2.1964
Wan-Mohamad, W. N. S., & Abdul-Ghani, A. N. (2011). The use of geographic information system (GIS) for geotechnical data processing and presentation. Procedia Engineering, 20, 397–406. https://doi.org/10.1016/j.proeng.2011.11.182
Wu, B., Wang, G., Li, J., Wang, Y., & Liu, B. (2018). Determination of the engineering properties of submarine soil layers in the bohai sea using the piezocone penetration test. Advances in Civil Engineering, 2018, 1-13. https://doi.org/10.1155/2018/9651045
Zakariya, A., Rifa'i, A., Ismanti, S., & Hidayat, M. (2023). Axial and lateral bearing capacity assessment of bored piles on medium-dense sand and liquefiable potential based on numerical simulation. IOP Conference Series Earth and Environmental Science, 1184(1), 012007. https://doi.org/10.1088/1755-1315/1184/1/012007