Publications
International Journal on Smart Sensing and Intelligent Systems
Professor Subhas Chandra Mukhopadhyay
Exeley Inc. (New York)
Subject: Computational Science & Engineering, Engineering, Electrical & Electronic
eISSN: 1178-5608
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A WAVELET-BASED BRIDGE WEIGH-IN-MOTION SYSTEM
B. Lechner * / M. Lieschnegg / O. Mariani / M. Pircher / A. Fuchs
Keywords : Bridge Weigh-in-Motion System, Wavelet Decomposition, Axle Load, Distance between Axles, Velocity Determination
Citation Information : International Journal on Smart Sensing and Intelligent Systems. Volume 3, Issue 4, Pages 573-591, DOI: https://doi.org/10.21307/ijssis-2017-409
License : (CC BY-NC-ND 4.0)
Published Online: 13-December-2017
- ARTICLE
- FIGURES & TABLES
- REFERENCES
- EXTRA FILES
- COMMENTS
ARTICLE
ABSTRACT
Bridge Weigh-in-Motion systems can be used to estimate vehicle parameters such as velocity, axle loads, or the distance between axles without affecting the traffic. These parameters and the classification of vehicles are necessary to determine vehicle overload and hence may help to reduce risks for road users and road infrastructure and allow optimized planning of maintenance work.
The Bridge Weigh-in-Motion system developed is based on a crack displacement sensor with intelligent data processing algorithms: In a first step, the number of axles, the distance between axles, and the velocity of the vehicle is obtained from the crack displacement signal by means of wavelet decomposition. In a subsequent step, the axle loads are found by means of optimizing the weights for axle loads that the measured crack displacement signal can be approximated by a superposition of (shifted and extended/compressed) ‘Lines of Influence’. Intensive test runs have been performed to verify results of the Bridge Weigh-in-Motion system.
FIGURES & TABLES
REFERENCES
[1] B. Jacob B., V. Feypell-de la Beaumelle, “Improving truck safety: Potential of weigh-in-motion technology”, IATSS Research 34, 9-15, 2010
[2] M. Pircher, B. Lechner, O. Mariani, A. Kammersberger, „Schädigung einer schlaff bewehrten Betonbrücke durch Verkehrsbelastung“, Beton- und Stahlbetonbau, 104,154-163, 2009
[3] DIN EN 1991-2, „Eurocode 1: Einwirkungen auf Tragwerke - Teil 2: Verkehrslasten auf Brücken“, Deutsche Fassung EN 1991-2:2003
[4] B. Jacob, S. Jehaes, “Weigh-in-Motion of Road Vehicles”, Final Report of the COST323 2 Action, LCPC, Paris, 538 pp.., 2004.
[5] K.P. Glaeser et al., “Auswirkungen von neuen Fahrzeugkonzepten auf die Infrastruktur des Bundesfernnetzes”, Schlussbericht, Bundesanstalt für Straßenwesen, Bergisch Gladbach 2006.
[6] P. Chatterjee, E. Obrien,, Y. Li, A.González, “Wavelet domain analysis for identification of vehicle axles from bridge measurements”, Computers & Structures, 84, 1792-1801., 2006.
[7] I. Daubechies, “Ten lectures on wavelets”, Society for Industrial Applied Mathematics. Philadephia. Pennsylvania, 1992.
[8] S. Mallat, “Multiresolution approximation and wavelets”, Trans. Amer. Maths. Soc. 315, 69-88, 1989.
[9] J. Trygg, S. Wold, “PLS regression on wavelet compressed NIR spectra”, Chemometr. Intell. Lab. Syst. 42, 209-220, 1998