Technical Papers
Nov 8, 2017

Simplified Portable Bridge Weigh-in-Motion System Using Accelerometers

Publication: Journal of Bridge Engineering
Volume 23, Issue 1

Abstract

Monitoring traffic loads is crucial for effective steel bridge maintenance because fatigue damage in steel bridges is caused by the long-term cumulative effect of traffic loads. This article presents a simplified portable bridge weigh-in-motion (spBWIM) system consisting of only accelerometers, which are easy to install because they can be magnetically attached to a painted metal surface without removal of paint. The spBWIM system uses a single accelerometer for all traffic lanes to determine bridge displacement responses attributable to traveling vehicles and two accelerometers for each traffic lane to detect vehicle axles. Field measurements were performed using three different test trucks on an actual in-service bridge to study the effectiveness and accuracy of the proposed spBWIM system. The results show that the spBWIM system can be used to estimate gross vehicle weights (GVWs) to within an error of ±15.3% compared with static weighing using a truck scale. Based on the results, the authors believe that the spBWIM system can potentially be developed into a viable alternative to conventional BWIM systems that use strain gauges.

Get full access to this article

View all available purchase options and get full access to this article.

Acknowledgments

This research was supported by a grant from the Japan Institute of Country-ology and Engineering (JICE) (Grant 16012). This study was carried out as part of the research branding project by Tokyo City University. The field measurements were supported by Mr. Murano and Mr. Hayama of the Highway Technology Research Center. The acceleration measurements were supported by Seiko Epson Co.

References

Burnos, P., and Gajda, J. (2016). “Thermal property analysis of axle load sensors for weighing vehicles in weigh-in-motion system.” Sensors, 16(12).
Fisher, J. W. (1984). Fatigue and fracture in steel bridges: Case studies, 1st Ed., Wiley, Hoboken, NJ.
Gindy, M., Vaccaro, R., Nassif, H., and Velde, J. (2008). “A state-space approach for deriving bridge displacement from acceleration.” Comput.-Aided Civ. Infrastruct. Eng., 23(4), 281–290.
González, A., Dowling, J., O’Brien, E. J., and Žnidarič, A. (2012). “Testing of a bridge weigh-in-motion algorithm utilising multiple longitudinal sensor locations.” J. Test. Eval., 40(6), 961–974.
He, W., Deng, L., Shi, H., Cai, C. S., and Yu, Y. (2017). “Novel virtual simply supported beam method for detecting the speed and axles of moving vehicles on bridges.” J. Bridge Eng., 04016141.
Ieng, S.-S. (2015). “Bridge influence line estimation for bridge weigh-in-motion system.” J. Comput. Civ. Eng., 06014006.
Jacob, B., and Feypell-de La Beaumelle, V. (2010). “Improving truck safety: Potential of weigh-in-motion technology.” IATSS Res., 34(1), 9–15.
Kobayashi, Y., Miki, C., and Tanabe, A. (2004). “Long-term monitoring of traffic loads by automatic real-time weigh-in-motion.” Doboku Gakkai Ronbunshu, 2004(773), 99–111 (in Japanese).
Lee, J. J., and Shinozuka, M. (2006). “A vision-based system for remote sensing of bridge displacement.” NDT&E Int., 39(5), 425–431.
Lydon, M., Taylor, S. E., Robinson, D., Mufti, A., and O’Brien, E. J. (2016). “Recent developments in bridge weigh in motion (B-WIM).” J. Civ. Struct. Health Monit., 6(1), 69–81.
Lynch, J. P., Wang, Y., Loh, K. J., Yi, J.-H., and Yun, C.-B. (2006). “Performance monitoring of the Geumdang Bridge using a dense network of high-resolution wireless sensors.” Smart Mater. Struct., 15(6), 1561–1575.
Miki, C., Mizunoue, T., and Kobayashi, Y. (2001). “Monitoring system of bridge performance with fiber-optic communications net.” Doboku Gakkai Ronbunshu, 2001(686), 31–40 (in Japanese).
Moses, F. (1979). “Weigh-in-motion system using instrumented bridges.” Transp. Engrg. J., 105(3), 233–249.
O’Brien, E. J., Quilligan, M. J., and Karoumi, R. (2006). “Calculating an influence line from direct measurements.” Proc., Inst. Civ. Eng. Bridge Eng., 159(1), 31–34.
O’Brien, E. J., Hajializadeh, D., Uddin, N., Robinson, D., and Opitz, R. (2012). “Strategies for axle detection in bridge weigh-in-motion systems.” Proc., 6th Int. Conf. on Weigh-in-Motion, Wiley, Hoboken, NJ, 79–88.
O’Brien, E. J., Žnidarič, A., and Dempsey, A. T. (1999). “Comparison of two independently developed bridge weigh-in-motion systems.” Int. J. Heavy Veh. Syst., 6(1), 147–161.
Ojio, T., Carey, C. H., O’Brien, E. J., Doherty, C., and Taylor, S. E. (2016). “Contactless bridge weigh-in-motion.” J. Bridge Eng., 04016032.
Pakzad, S. N., and Fenves, G. L. (2009). “Statistical analysis of vibration modes of a suspension bridge using spatially dense wireless sensor network.” J. Struct. Eng., 863–872.
Park, J.-W., Sim, S.-H., and Jung, H.-J. (2014). “Wireless displacement sensing system for bridges using multi-sensor fusion.” Smart Mater. Struct., 23(4).
Richardson, J., Jones, S., Brown, A., O’Brien, E. J., and Hajializadeh, D. (2014). “On the use of bridge weigh-in-motion for overweight truck enforcement.” Int. J. Heavy Veh. Syst., 21(2), 83–104.
Sekiya, H., Kimura, K., and Miki, C. (2015). “Determination method of bridge displacement response using accelerometers.” Proc., Japan Society of Civil Engineers 2015 Annual Meeting, Tokyo, 817–818 (in Japanese).
Sekiya, H., Konishi, T., Kinomoto, T., and Miki, C. (2016). “Portable-weigh-in-motion based on displacement measurement using MEMS accelerometer.” J. Jap. Soc. Earthquake Eng. Ser. A1, 72(3), 364–379 (in Japanese).
Shinozuka, M., Papakonstantinou, K. G., Torbol, M., and Kim, S. (2015). “Real-time remote monitoring: The DuraMote platform and experiments towards future, advanced large-scale SCADA systems.” Struct. Infrastruct. Eng., 11(4), 588–603.
Tateishi, K., Takenouchi, H., and Miki, C. (1995). “Mechanism for developing local stress at the connection details in steel bridge structures.” Doboku Gakkai Ronbunshu, 1995(507), 109–119 (in Japanese).
Yoneyama, S., and Ueda, H. (2012). “Bridge deflection measurement using digital image correlation with camera movement correction.” Mater. Trans., 53(2), 285–290.
Yu, Y., Cai, C. S., and Deng, L. (2015). “Vehicle axle identification using wavelet analysis of bridge global responses.” J. Vib. Control, 23(17), 2830–2840.
Yu, Y., Cai, C. S., and Deng, L. (2016). “State-of-the-art review on bridge weigh-in-motion technology.” Adv. Struct. Eng., 19(9), 1514–1530.
Zolghadri, N., Halling, M. W., Johnson, N., and Barr, P. J. (2016). “Field verification of simplified bridge weigh-in-motion techniques.” J. Bridge Eng., 04016063.

Information & Authors

Information

Published In

Go to Journal of Bridge Engineering
Journal of Bridge Engineering
Volume 23Issue 1January 2018

History

Received: Feb 28, 2017
Accepted: Jul 26, 2017
Published online: Nov 8, 2017
Published in print: Jan 1, 2018
Discussion open until: Apr 8, 2018

Permissions

Request permissions for this article.

Authors

Affiliations

Hidehiko Sekiya, Dr.Eng. [email protected]
Lecturer, Advanced Research Laboratories, Tokyo City Univ., 8-15-1 Todoroki, Setagaya 158-0082, Japan (corresponding author). E-mail: [email protected]
Kosaku Kubota
Chief Officer for Structure Maintenance Management, Kanto Engineering Laboratory, Ministry of Land, Infrastructure, Transport and Tourism, 6-12-1 Goko Nishi, Matsudo City, Chiba Prefecture 270-2218, Japan.
Chitoshi Miki, Dr.Eng.
President, Tokyo City Univ., 1-28-1 Tamazutsumi, Setagaya, 158-8557, Japan.

Metrics & Citations

Metrics

Citations

Download citation

If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download.

Cited by

View Options

Get Access

Access content

Please select your options to get access

Log in/Register Log in via your institution (Shibboleth)
ASCE Members: Please log in to see member pricing

Purchase

Save for later Information on ASCE Library Cards
ASCE Library Cards let you download journal articles, proceedings papers, and available book chapters across the entire ASCE Library platform. ASCE Library Cards remain active for 24 months or until all downloads are used. Note: This content will be debited as one download at time of checkout.

Terms of Use: ASCE Library Cards are for individual, personal use only. Reselling, republishing, or forwarding the materials to libraries or reading rooms is prohibited.
ASCE Library Card (5 downloads)
$105.00
Add to cart
ASCE Library Card (20 downloads)
$280.00
Add to cart
Buy Single Article
$35.00
Add to cart

Get Access

Access content

Please select your options to get access

Log in/Register Log in via your institution (Shibboleth)
ASCE Members: Please log in to see member pricing

Purchase

Save for later Information on ASCE Library Cards
ASCE Library Cards let you download journal articles, proceedings papers, and available book chapters across the entire ASCE Library platform. ASCE Library Cards remain active for 24 months or until all downloads are used. Note: This content will be debited as one download at time of checkout.

Terms of Use: ASCE Library Cards are for individual, personal use only. Reselling, republishing, or forwarding the materials to libraries or reading rooms is prohibited.
ASCE Library Card (5 downloads)
$105.00
Add to cart
ASCE Library Card (20 downloads)
$280.00
Add to cart
Buy Single Article
$35.00
Add to cart

Media

Figures

Other

Tables

Share

Share

Copy the content Link

Share with email

Email a colleague

Share