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Reliability evaluation of steel truss bridge due to traffic load based on bridge weigh-in-motion measurement

  • Widi Nugraha (Directorate General of Highways, Ministry of Public Works and Housing) ;
  • Indra Djati Sidi (Department of Civil Engineering, Institut Teknologi Bandung) ;
  • Made Suarjana (Department of Civil Engineering, Institut Teknologi Bandung) ;
  • Ediansjah Zulkifli (Department of Civil Engineering, Institut Teknologi Bandung)
  • Received : 2022.09.22
  • Accepted : 2022.12.10
  • Published : 2022.12.25

Abstract

Steel truss bridge is one of the most widely used bridge types in Indonesia. Out of all Indonesia's national roads, the number of steel truss bridges reaches 12% of the total 17,160 bridges. The application of steel truss bridges is relatively high considering this type of bridge provides advantages in the standardization of design and fabrication of structural elements for typical bridge spans, as well as ease of mobilization. Directorate of Road and Bridge Engineering, Ministry of Works and Housing, has issued a standard design for steel truss bridges commonly used in Indonesia, which is designed against the design load in SNI 1725-2016 Bridge Loading Standards. Along with the development of actual traffic load measurement technology using Bridge Weigh-in-Motion (B-WIM), traffic loading data can be utilized to evaluate the reliability of standard bridges, such as standard steel truss bridges which are commonly used in Indonesia. The result of the B-WIM measurement on the Central Java Pantura National Road, Batang - Kendal undertaken in 2018, which supports the heaviest load and traffic conditions on the national road, is used in this study. In this study, simulation of a sequences of traffic was carried out based on B-WIM data as a moving load on the Australian type Steel Truss Bridge (i.e., Rangka Baja Australia -RBA) structure model with 60 m class A span. The reliability evaluation was then carried out by calculating the reliability index or the probability of structural failure. Based on the analysis conducted in this study, it was found that the reliability index of the 60 m class Aspan for RBA bridge is 3.04 or the probability of structural failure is 1.18 × 10-3, which describes the level of reliability of the RBA bridge structure due to the loads from B-WIM measurement in Indonesia. For this RBA Bridge 60 m span class A, it was found that the calibrated nominal live load that met the target reliability is increased by 13% than stated in the code, so the uniform distributed load will be 7.60 kN/m2 and the axle line equivalent load will be 55.15 kN/m.

Keywords

Acknowledgement

The research described in this paper was supported by Indonesia Endowment Fund for Education (LPDP) and Ministry of Public Works and Housing, Republic of Indonesia.

References

  1. Badan Standardisasi Nasional (2016), SNI 1725-2016 Pembebanan untuk Jembatan. In Badan Standardisasi Nasional. Indonesia: Badan Standarisasi Nasional.
  2. Ellingwood, B. and Galambos, T.V. (1982), "Probability-based criteria for structural design", Struct. Saf., 1(1) 15-26. https://doi.org/10.1016/0167-4730(82)90012-1.
  3. Iatsko, O. and Nowak, A.S. (2021), "Revisited live load for simple-span bridges", J. Bridge Eng., 26(1), 1-14. https://doi.org/10.1061/(asce)be.1943-5592.0001647.
  4. Karthik, P., Sharma, S.K. and Akbar, M.A. (2022), "Evolving live load criteria in bridge design code guidelines - A case study of India based on IRC 6", Struct. Monit. Maint., 9(1), 43-57. https://doi.org/10.12989/smm.2022.9.1.043.
  5. Kementerian, P.U.P.R. (2005), Pedoman No: 07/BM/2005 Gambar standar rangka baja bangunan atas jembatan kelas A dan B. Kementerian PUPR.
  6. Kementerian, P.U.P.R. (2022), INVI-J: Inspeksi Visual Jembatan. Data Jembatan Indonesia 2022. http://invij.binamarga.pu.go.id.
  7. Kulicki, J.M. (2017), AASHTO LRFD Bridge Design Specifications, 8th Ed., Bridge Engineering Handbook: Fundamentals, Second Ed., (Issue September).
  8. Kwon, O.S., Kim, E. and Orton, S. (2011), "Calibration of live-load factor in LRFD bridge design specifications based on state-specific traffic environments", J. Bridge Eng., 16, 812-819. https://doi.org/10.1061/(ASCE)BE.1943-5592.0000209.
  9. Laboratoire Central des Ponts et Chaussees (2001), Weigh-in-motion of Axles and Vehicles for Europe (WAVE), In Weigh-in-motion of Axles and Vehicles for Europe (WAVE), (Issue April).
  10. Macleod, E., Asce, S.M. and Arjomandi, K. (2022), Enhanced Bridge Weigh-in-Motion System Using Hybrid Strain - Acceleration Sensor Data. 27(Wave 2001), 1-13. https://doi.org/10.1061/(ASCE)BE.1943-5592.0001924.
  11. Naus, D.J., Oland, C.B. and Ellingwood, B. (1994), Structural aging program status report. https://inis.iaea.org/search/search.aspx?orig_q=RN:26067081.
  12. Nowak, A. and Collins, K. (2007), Reliability of Structures, In Nuclear Instruments and Methods in Physics Research, Section B: Beam Interactions with Materials and Atoms, 259(1), 359-364. https://doi.org/10.1016/j.nimb.2007.01.180
  13. Nowak, A.S. and Collins, K.R. (2012), Reliability of Structures, Second Edition. Taylor & Francis. https://books.google.co.id/books?id=z98q9wLKCY4C.
  14. Nugraha, W. and Hardono, S. (2015), "Evaluasi Reliabilitas Jembatan Standar Tipe Komposit Menggunakan Data Hasil Pengukuran Beban Kendaraan Bergerak", Widyariset, 1(1), 11-20.
  15. Nugraha, W. and Sidi, I.D. (2016), "Probability based evaluation of vehicular bridge load using weigh-in-motion data", J. Eng. Technol. Sci., 48(1), 66-85. https://doi.org/10.5614/j.eng.technol.sci.2016.48.1.6.
  16. Nugraha, W. and Sukmara, G. (2016), WIM Bridge: Ujicoba Model Fisik Teknologi Pengukuran Beban Kendaraan Bergerak menggunakan Jembatan Terinstrumentasi, Puslitbang Jalan dan Jembatan, Kementerian Pekerjaan Umum dan Perumahan Rakyat.
  17. Pribadi, A. and Sidi, I.D. (2017), Evaluasi Pembebanan Jembatan Box Girder Beton Prategang dengan Pendekatan Probabilitas Menggunakan Hasil Pengukuran Beban Kendaraan Bergerak, Institut Teknologi Bandung.
  18. Rosenblatt, M. (1952), "Remarks on a multivariate transformation", Ann. Math. Stat., 23(3), 470-472. http://www.jstor.org/stable/2236692. https://doi.org/10.1214/aoms/1177729394
  19. Stawska, S., Nowak, A.S., Babu, A.R., Stallings, M., Newman, J. and Phillips, J. (2022), "Calibration of LRFD mechanical design for movable bridges", J. Bridge Eng., 27(1), 1-9. https://doi.org/10.1061/(asce)be.1943-5592.0001808
  20. Tumbeva, M.D., Thrall, A.P. and Zoli, T.P. (2021), "Modular joint for the accelerated fabrication and erection of steel bridges", J. Bridge Eng., 26(6), 1-13. https://doi.org/10.1061/(asce)be.1943-5592.0001706.
  21. van der Spuy, P. and Lenner, R. (2019), "Towards a new bridge live load model for South Africa", Struct. Eng. Int., 29(2), 292-298. https://doi.org/10.1080/10168664.2018.1561168.
  22. Zhao, H.W., Ding, Y.L., Geng, F.F. and Li, A.Q. (2018), "RAMS evaluation for a steel-truss arch high-speed railway bridge based on SHM syste", Struct. Monit. Maint., 5(1), 79-92. https://doi.org/10.12989/smm.2018.5.1.079.