System Dynamics Approach for Bridge Deterioration Monitoring System

Authors

  • Jojok Widodo Soetjipto University of Jember
  • Tri Joko Wahyu Adi Institut Teknologi Sepuluh Nopember
  • Nadjadji Anwar Institut Teknologi Sepuluh Nopember

Keywords:

bridge, deterioration, maintenance, system dynamics

Abstract

Bridge monitoring plays an important role in reducing catastrophic failure. Structural Health Monitoring (SHM) has been performed on one of the bridge components such as decks, girders, abutments/piers independently. However, the failure can be attributed either a component defect or combination among them. Bridge deterioration model requires the analysis of complex and dynamic variables. The system dynamic (SD) is a powerful simulation method to study the dynamic and complex systems. This paper aims to discuss the concept of bridge deterioration monitoring using SD approach.  The proposed model utilized variables from the previous studies to represent the bridge component interrelationship, while SD will be used to simulate the probability of bridge failure and to find the dominant bridge component that influences the failure. The model can also be used as guidance for bridge deterioration mitigation and repair program.

References

G. C. Lee, S. B. Mohan, C. Huang and B. N. Fard, “A study of U.S. bridge failures (1980-2012),” Technical Report MCEER-13-0008, Federal Highway Administration, Ney York, 2013

G. Bu, J. Lee, H. Guan and Y. C. Loo, “Development of an integrated method for probabilistic bridge-deterioration modeling,” Journal of Performance of Constructed Facilities, vol. 28, pp. 330-340, 2014.

M. Mehdi and W. Natalie, “An overview of structural health monitoring for steel bridge,” Practice Periodical on Structural Design and Construction, vol. 18, ASCE, 2012.

A. Paulo and C. Humberto, “Optical fiber sensors for static and dynamic health monitoring of civil engineering infrastructures: abode wall case study,” Measurement, vol. 45, pp. 1695-1705, 2012.

M. K. Tsai, N. J. Yau, H. L. Wang, D. M. Hung, C. S. Chen, and W. H. Hsu, “Improving bridge collapse detection and on-site emergency alarm: a case study in Taiwan,” Safety Science, vol. 70, pp. 133-142, 2014.

D. M. Frangopol and D. Orcesi Andre, “Optimization of bridge maintenance strategy based on structural health monitoring information,” Structural Safety, vol. 33, pp. 26-41, 2011.

W. S. Jang, S. C. Bae, S. Woo and D. H. Shin, “Prediction of WSN placement for bridge health monitoring based on material characteristics,” Automation in Construction, vol. 35, pp. 18-27, 2013.

J. J. Mc. Cullagh, T. Galchev, R. L. Peterson, R. Gordenker, Y. Zhang and K. Najafi, “Long-term testing of a vibration harvesting system for the structural health monitoring of bridges,” Sensor and Actuators A: Physical, vol. 217, pp. 139-150, 2014.

W. Zhang, H. Xu, B. Wu and S. Li, “Safety management of traffic accident scene based on system dynamics,” International Conference on Intelligent Computation Technology and Automation, ICICTA, vol. 2, pp. 482-485, 2008.

S. H. Lee, F. Pena-Mora and M. Park, “Dynamic planning and control methodology for strategic and operational engineering project management,” Automation in Engineering, vol. 15, pp. 84-97, 2006.

P. Love, G. Holt, L. Shen, H. Li and Z. Irani, “Using systems dynamics to better understand change and rework in engineering project management systems,” International Journal of Project Management, vol. 20, no. 6, 425-436, 2002.

S. D. Lisse, “System dynamics of outsourcing construction in shipbuilding projects,” Proceedings of American Society of Naval Engineers Day 2012 Symposium, Arlington, Virginia, February 2012.

H. Z. Huang, N. Xiao, Y. Li, L. He and T. Jin, “Multiple failure modes analysis and weighted risk priority number evaluation in FMEA,” Engineering Failure Analysis, vol. 18, pp. 1162-1170, 2011.

D. M. Frangopol and M. Liu, ”Multi-objective maintenance planning optimization for deteriorating bridges considering condition, safety, and life cycle cost,” Journal of Structural Engineering, vol. 131, pp. 833-842, 2005.

D. M. Frangopol and G. Barone, “Reliability, risk and lifetime distributions as performance indicators for life-cycle maintenance of deteriorating structures,” Reliability Engineering and System Safety, vol. 123, pp. 21-37, 2014.

C. K. Chiu and Y. F. Lin, “Multi-objective decision-making supporting system of maintenance strategies for deteriorating reinforced concrete buildings,” Automation in Construction, vol. 39, pp. 15-31, 2014.

M. Sykora, M. Holicky and J. Markova, “Forensic assessment of bridge downfall using Bayesian networks,” Engineering Failure Analysis, vol. 30, pp. 1-9, 2013

K. G. Papakonstantinou and M. Shinozuka, “Optimum inspection and maintenance policies for corroded structure using partially observable Markov decision processes and stochastic, physically based models,” Probabilistic Engineering Mechanics, vol. 37, pp. 93-108, 2014.

P. R. M. Sianipar and M. A. Teresa, “Fault tree model of bridge element deterioration due to interaction,” Journal of Infrastructure System, vol. 3, pp. 103-110, 1997.

J. W. Forrester, “Industrial dynamics,” Journal of Management Science, vol. 14, no. 17, pp. 398-415, 1968.

A. Gregoriades and V. Karakosta, “A simulation methodology unifying system dynamics and business objects as a paradigm for developing decision support system,” Journal of Decision Support Systems, vol. 37, no. 2, pp. 307-311, 2000.

J. D. Sterman, “Business dynamics: Systems thinking and modeling for a complex world,” ESD Internal Symposium, Massachusetts Institute of Technology Engineering System Division, 2002.

Downloads

Additional Files

Published

2016-09-13

How to Cite

[1]
J. W. Soetjipto, T. J. W. Adi, and N. Anwar, “System Dynamics Approach for Bridge Deterioration Monitoring System”, Int. j. eng. technol. innov., vol. 6, no. 4, pp. 264–273, Sep. 2016.

Issue

Section

Articles