Muhammad Syafaat S Kuba1*, Muhammad Saleh Pallu1, Bambang Bakri1

1Departemen Teknik Sipil, Universitas Hasanuddin, Makassar, INDONESIA

*Corresponding author: syafaat_skuba@unismuh.ac.id

Pengaruh Diameter Pipa dan Kecepatan Aliran terhadap Potensi Self-Cleansing Sedimen pada Pipa Bertekanan

Muhammad Syafaat S Kuba(1)*, Muhammad Saleh Pallu(1), Bambang Bakri(1)

1Departemen Teknik Sipil, Universitas Hasanuddin, Makassar, INDONESIA

*Corresponding author: syafaat_skuba@unismuh.ac.id

INTISARI

Sedimentasi pada pipa bertekanan merupakan permasalahan penting dalam sistem hidraulik karena dapat mengurangi luas penampang aliran efektif, meningkatkan kehilangan energi, serta menurunkan efisiensi operasional jaringan. Penelitian ini bertujuan untuk menganalisis pengaruh diameter pipa dan kecepatan aliran terhadap potensi self-cleansing sedimen dengan menggunakan pendekatan Self-Cleansing Index (SCI). Penelitian dilakukan melalui analisis kuantitatif terhadap 27 data eksperimen laboratorium pada pipa berdiameter 0,05 m, 0,075 m, dan 0,10 m, dengan variasi head 0,15–0,25 m serta ukuran butir sedimen 0,25–0,60 mm pada kondisi aliran turbulen penuh. Parameter yang dianalisis meliputi kecepatan aliran, tegangan geser dasar, tegangan geser kritis, massa deposisi, deposisi ternormalisasi, dan nilai SCI. Hasil penelitian menunjukkan bahwa, pada dataset yang digunakan, peningkatan diameter pipa cenderung diikuti oleh kenaikan kecepatan aliran dan nilai SCI, serta penurunan massa deposisi. Nilai SCI berada pada kisaran 0,1348–0,8276, yang mengindikasikan bahwa seluruh kondisi pengujian masih berada dalam rezim deposisi dan belum mencapai kondisi self-cleansing penuh. Temuan ini menegaskan bahwa evaluasi potensi sedimentasi pada pipa bertekanan akan lebih representatif apabila mempertimbangkan rasio antara
tegangan geser terapan dan tegangan geser kritis sedimen, dibandingkan hanya menggunakan kecepatan aliran sebagai indikator tunggal. Dengan demikian, SCI dapat digunakan sebagai parameter evaluatif yang lebih komprehensif dalam perencanaan dan pengoperasian sistem perpipaan.

REFERENSI

Bong, C. (2014). A Review on the Self-Cleansing Design Criteria for Sewer System. Journal of Civil Engineering Science and Technology, 5(2), 1-7. https://doi.org/10.33736/jcest.132.2014.

Bong, C. (2016). Untitled. Journal of Civil Engineering Science and Technology, 5(2). https://doi.org/10.33736/jcest.v5i2.

Cerbus, R. T., Liu, C.-C., Gioia, G., & Chakraborty, P. (2018). Laws of resistance in transitional pipe flows. Physical Review Letters, 120(5), 054502.

Ebtehaj, I., Bonakdari, H., Zaji, A., & Gharabaghi, B. (2020). Evolutionary optimization of neural network to predict sediment transport without sedimentation. Complex & Intelligent Systems, 7(1), 401-416. https://doi.org/10.1007/s40747-020-00213-9

Fan, C., Field, R., Lai, F., & Sullivan, D. (2000). Sewer-Sediment Control: Overview of an EPA Wet-Weather Flow (WWF) Research Program., 1-9. https://doi.org/10.1061/40517(2000)286.

Fan, C., Field, R., Pisano, W., Barsanti, J., & Joyce, J. (1999). Sewer and Tank Flushing for Corrosion and Pollution Control., 1-7. https://doi.org/10.1061/40430(1999)203.

Fraser, A., Ashley, R., & Ghani, A. (2000). Inlet and Sewer Traps for Sediment Control in Stormwater Drainage – A Malaysian Case Study., 99, 1-8. https://doi.org/10.1061/40517(2000)151

Gül, E., Safari, M., Haghighi, A., & Mehr, A. (2021). Sediment transport modeling in non-deposition with clean bed condition using different
tree-based algorithms. Plos One, 16(10), e0258125. https://doi.org/10.1371/journal.pone.0258125

Hu, F., Ma, S., Xi-mei, Z., Li, W., Cao, Y., Liu, J., … & Zheng, T. (2025). Analysis of Sedimentation Mechanisms in Small Diameter Gravity Sewers Based on Computational Fluid Dynamics. Acs Es&t Water, 5(2), 993-1002. https://doi.org/10.1021/acsestwater.4c01036

Ihmoudah, A., Abugharara, A., Rahman, M. A., & Butt, S. (2023). Experimental and numerical analysis of the effect of rheological models on measurements of shear-thinning fluid flow in smooth pipes. Energies, 16(8), 3478.

Mohtar, W., Bong, C., Ghani, A., Safari, M., Taib, A., Afan, H., … & El‐Shafie, A. (2022). Sediment Incipient Motion in Sewer with a Bed Deposit. Teknik Dergi, 33(1), 11473-11486. https://doi.org/10.18400/tekderg.572529

Montes, C., Kapelan, Z., & Saldarriaga, J. (2021). Predicting non-deposition sediment transport in sewer pipes using Random forest. Water Research, 189, 116639. https://doi.org/10.1016/j.watres.2020.116639 Montes, C., Vanegas, S., Kapelan, Z., Berardi, L., & Saldarriaga, J. (2020). Non-deposition self-cleansing models for large sewer pipes. Water Science & Technology, 81(3), 606-621. https://doi.org/10.2166/wst.2020.154

Murali, M., Hipsey, M., Ghadouani, A., & Yuan, Z. (2020). SewerSedFoam: A Model for Free Surface Flow, Sediment Transport, and Deposited Bed Morphology in Sewers. Water, 12(1), 270. https://doi.org/10.3390/w12010270

Niazi, M., Nietch, C., Maghrebi, M., Jackson, N., Bennett, B., Tryby, M., … & Massoudieh, A. (2017). Storm Water Management Model: Performance Review and Gap Analysis. Journal of Sustainable Water in the Built Environment, 3(2). https://doi.org/10.1061/jswbay.0000817

Regueiro-Picallo, M., Anta, J., Naves, A., Figueroa, A., & Rieckermann, J. (2023). Towards urban drainage sediment accumulation monitoring using temperature sensors. Environmental Science Water Research & Technology, 9(12), 3200-3212. https://doi.org/10.1039/d2ew00820c

Rinas, M., Fricke, A., Tränckner, J., Frischmuth, K., & Koegst, T. (2020). Sediment Transport in Sewage Pressure Pipes, Part II: 1 D Numerical Simulation. Water, 12(1), 282. https://doi.org/10.3390/w12010282

Safari, M. (2019). Decision tree (DT), generalized regression neural network (GR) and multivariate adaptive regression splines (MARS) models for sediment transport in sewer pipes. Water Science & Technology, 79(6), 1113-1122. https://doi.org/10.2166/wst.2019.106

Safari, M. and Shirzad, A. (2019). Self‐cleansing design of sewers: Definition of the optimum deposited bed thickness. Water Environment Research, 91(5), 407-416. https://doi.org/10.1002/wer.1037

Salvo, C., Mancini, M., Cavinato, G., Moscatelli, M., Simionato, M., Stigliano, F., … & Rodi, A. (2020). A 3D Geological Model as a Base for the Development of a Conceptual Groundwater Scheme in the Area of the Colosseum (Rome, Italy). Geosciences, 10(7), 266. https://doi.org/10.3390/geosciences10070266 

Seco, I., Schellart, A., Gómez, M., & Tait, S. (2018). Prediction of Organic Combined Sewer Sediment Release and Transport. Journal of Hydraulic Engineering, 144(3). https://doi.org/10.1061/(asce)hy.1943-7900.0001422

Shirazi, R., Willems, P., & Berlamont, J. (2010). Application of Flushing Tanks in Simple Sewer Networks for In-Sewer Sediment Erosion and Transport. Journal of Water Management Modeling. https://doi.org/10.14796/jwmm.r236-07

Song, Y., Joo, J., Lee, J., & Yoo, D. (2020). Numerical Assessment of Shear Boundary Layer Formation in Sewer Systems with Fluid-Sediment Phases. Water, 12(5), 1332. https://doi.org/10.3390/w12051332 

Visintainer, R., Matoušek, V., Pullum, L., & Sellgren, A. (2023). Stratification of slurry flow and deposition of solids in pipes. In Slurry Transport Using Centrifugal Pumps (pp. 81–114). Springer. 

Zhao, T. and Nepf, H. (2021). Turbulence Dictates Bedload Transport in Vegetated Channels Without Dependence on Stem Diameter  and Arrangement. Geophysical Research Letters, 48(21).  https://doi.org/10.1029/2021gl095316