most citedBridge Modal Identification using Acceleration Measurements within Moving Vehicles

130 citations · 182 across the 5 of their papers we have counts for

collaborators

5 papers

physics.app-ph2022★ 3 cited

Identifying Damage-Sensitive Spatial Vibration Characteristics of Bridges from Widespread Smartphone Data

Liam Cronin, Soheil Sadeghi Eshkevari, Thomas J. Matarazzo +5

The knowledge gap in the expected and actual conditions of bridges has created worldwide deficits in infrastructure service and funding challenges. Despite rapid advances over the…

cs.CY2020★ 6 cited

Crowdsourcing Bridge Vital Signs with Smartphone Vehicle Trips

Thomas J. Matarazzo, Dániel Kondor, Sebastiano Milardo +5

A key challenge in monitoring and managing the structural health of bridges is the high-cost associated with specialized sensor networks. In the past decade, researchers predicted…

eess.SP2020★ 1 cited

Bridge Structural Health Monitoring using Asynchronous Mobile Sensing Data

Soheil Sadeghi Eshkevari, Liam Cronin, Shamim N. Pakzad +1

This study presents a flexible approach for bridge modal identification using smartphone data collected by a large pool of passing vehicles. With each trip of a mobile sensor, the…

eess.SP2020★ 42 cited

Simplified Vehicle-Bridge Interaction for Medium to Long-span Bridges Subject to Random Traffic Load

Soheil Sadeghi Eshkevari, Thomas J. Matarazzo, Shamim N. Pakzad

This study introduces a simplified model for bridge-vehicle interaction for medium- to long-span bridges subject to random traffic loads. Previous studies have focused on calculati…

eess.SP2020★ 130 cited

Bridge Modal Identification using Acceleration Measurements within Moving Vehicles

Soheil Sadeghi Eshkevari, Thomas J. Matarazzo, Shamim N. Pakzad

Vehicles crossing bridge structures respond dynamically to the bridge's vibrations. An acceleration signal collected within a moving vehicle contains a trace of the bridge's struct…