Probability Based Evaluation of Vehicular Bridge Load using Weigh-in-Motion Data

Widi Nugraha, Indra Djati Sidi

Abstract


Load and Resistance Factored Design (LRFD) method for designing bridge in Indonesia have been implemented for more than 25 years. LRFD method treating loads and strengths variables as random variables with specific safety factors for different loads and strengths variables type. The nominal loads, load factors, reduction factors, and other criteria for bridge design code can be determined to meet the reliability criteria. Statistical data of weigh-in-motion (WIM) vehicular loads measurement in Northern Java highway, Cikampek - Pamanukan, West Java (2011), used in as statistical loads variable. A 25 m simple span bridge with reinforced concrete T-girder is used as a model for structural analysis due to WIM measured and nominal vehicular load based on RSNI T-02-2005, with applied bending moment of girder as the output. The distribution fitting result of applied bending moment due to WIM measured vehicular loads is lognormal. The maximum bending moment due to RSNI T-02-2005 nominal vehicular load is 842.45 kN-m and has probability of exceedance of 5x10-5. It can be concluded, for this study, that the bridge designed using RSNI T-02-2005 is safely designed, since it has reliability index, β of 5.02, higher than target reliability, β ranging from 3.50 or 3.72.

Full Text:

PDF

References


AASHTO, AASHTO LRFD Bridge Design Specifications, 6th ed., Section 3, 17-36, 2012.

Ang, A.H-S., and Tang, W.H., Probability Concepts in Engineering Planning and Design Volume II - Decision, Risk, and Reliability. John Wiley and Sons, Inc., 274-435, 1984.

Badan Standardisasi Nasional, RSNI T-02-2005: Standar Pembebanan untuk Jembatan, 16-25, 2005.

Bushman, R. and Pratt, A.J., Weigh In Motion Technology - Economics and Performance, NATMEC, pp 2-7, 1998.

CALTRANS, Data Weigh-In-Motion, CALTRANS, http://www.dot.ca.gov/hq/traffops/trucks/datawim/, (27 August 2014).

Ellingwood, B. R., Reliability-based condition assessment and LRFD for existing structures, Structural Safety, 18(2/3), pp 67-80, 1996.

Jacob, B. and Beaumelle, V., Improving truck safety: Potential of weigh-in-motion technology, International Association of Traffic and Safety Sciences Research, 34, pp 9-15, 2010.

Kulicki, J.M. and Mertz, D.R., Evolution of Vehicular Live Load Models During the Interstate Design Era and Beyond, Transportation Research Circular E-C104, pp 1-26, 2011.

Masyhur, A. H., Perancangan Peralatan dan Uji Laboratorium Weigh In Motion untuk Kendaraan Roda Dua. Bachelor thesis, Departement of Mechanical Engineering, Institut Teknologi Bandung, Bandung, 2010.

Naus, D.J. and Ellingwood, B., Structural Aging Program Status Report, United States Nuclear Regulatory Commission (USNRC), 1994.

Nowak, A.S., Calibration of LRFD Bridge Design Guide, NCHRP Report 368, pp 37-125, 1999.

Nowak, A.S., Reliability-based Calibration of Bridge Design Code, University of Nebraska-Lincoln, 3-74, 2007.

Palczewski, J., and Palczewski, A., Monte Carlo Simulation Lecture Notes, Uniwersytetu Warzawskiego, 2014.

Institute of Road Engineering Ministry of Public Works, Laporan Teknis Survey Beban Kendaraan Metoda WIM Ruas Cikampek-Pamanukan, 2011.

Zhang, L., An Evaluation of the Technical and Economic Performance of Weigh-In-Motion Sensing Technology, Master thesis, University of Waterloo: Canada, Waterloo, 2007.




DOI: http://dx.doi.org/10.5614%2Fj.eng.technol.sci.2016.48.1.6

Refbacks

  • »
  • »
  • »