Localization of dynamic forces on structures with an interior point method using group sparsity. (15th January 2019)

• Record Type: Journal Article
• Authors: Wambacq, J.; Maes, K.; Rezayat, A.; Guillaume, P.; Lombaert, G.
• Is Part Of: Mechanical systems and signal processing. Volume 115(2019)
• Page Start: 593
• Page End: 606
• Publication Date: 2019-01-15
• Subjects: Force identification -- Force localization -- Compressed sensing -- Group sparsity -- Application; Structural dynamics -- Periodicals; Vibration -- Periodicals; Constructions -- Dynamique -- Périodiques; Vibration -- Périodiques; Structural dynamics; Vibration; Periodicals; 621
• DOI: 10.1016/j.ymssp.2018.06.006
• Languages: English
• ISSNs: 0888-3270

Abstract

Highlights: Forces are localized based on a limited number of measurements and a system model. A mixed penalized objective function is proposed to localize the forces. The optimization problem is solved using an interior point method. A validation is performed using data obtained from a full-scale experiment on a footbridge. Abstract: This paper presents an algorithm for the localization of forces applied to a structure. The force estimation is performed in the frequency domain based on a limited number of sensors and a linear dynamic system model and it involves minimizing an objective function penalized with a group sparsity term. The minimization of this objective function is formulated as a second order cone program, which is solved using an interior point method. This allows for a reduction of the calculation time when compared to other algorithms that are currently available to enforce group sparsity on the forces, especially for large scale problems. The presented algorithm is first verified using numerical simulations. Next, a validation is performed using data obtained from a field test on a footbridge, where two locations on the bridge deck are excited using hammer impacts and the force localization is performed assuming a total of 108 possible force locations.