PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
October 23, 2025Structural Health Monitoring4 citationsOpen Access

IFEM method for distributed monitoring of cable forces in cable-stayed bridges

View Full Paper
DPDario PoloniCWChengwei WangMMMaurizio Morgese

Key Points

  • Structural health monitoring enhances assessment capability of cable-stayed bridges, ensuring safety and longevity.
  • Brillouin scattering is utilized for distributed optical fiber sensing to measure cable forces and deflections.
  • The method allows assessment under moving vehicular loads, highlighting strengths over traditional techniques.
  • Results demonstrate that this approach may enable better real-time monitoring and decision-making for infrastructure maintenance.

Abstract

The method proposed in this article pertains to developing a technique for structural health monitoring of cable-stayed bridges based on the inverse finite element method (iFEM). This approach is built on distributed monitoring of strains by using a Brillouin scattering-based distributed optical fiber sensor. Using this method, both the deflections and changes in cable forces are computed to assess the structural health of bridges. In contrast to the existing distributed strain-based techniques, the computation of cable forces does not require prior knowledge of loads and their locations. This provides the opportunity for use under operational conditions of the bridge, where the bridge is subjected to moving vehicular loads. The capability of the proposed technique was evaluated in laboratory experiments by a scaled model of a cable-stayed bridge. The experiments involved static and dynamic loads and the acquisition of distributed strains by a PPP-BOTDA optical fiber interrogation unit. Other sensor types, such as LVDT and FBG sensors, were employed in the experiments to validate the results of the proposed computational approach. In addition, the differences between the proposed approach and previous techniques are compared in terms of the computational approach, their attributes, and percentage errors in the computation of cable force variations.

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

Poloni et al. (2025) studied this question.

synapsesocial.com/papers/68f9840c1881b68f3b7ae6bchttps://doi.org/10.1177/14759217251385449
Ask AI
Helpful
Bookmark
Share
View Full Paper