130 citations · 283 across the 9 of their papers we have counts for
10 papers
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…
RL-Controller: a reinforcement learning framework for active structural control
Soheila Sadeghi Eshkevari, Soheil Sadeghi Eshkevari, Debarshi Sen +1
To maintain structural integrity and functionality during the designed life cycle of a structure, engineers are expected to accommodate for natural hazards as well as operational l…
Transfer Learning for Input Estimation of Vehicle Systems
Liam M. Cronin, Soheil Sadeghi Eshkevari, Debarshi Sen +1
This study proposes a learning-based method with domain adaptability for input estimation of vehicle suspension systems. In a crowdsensing setting for bridge health monitoring, veh…
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…
DynNet: Physics-based neural architecture design for linear and nonlinear structural response modeling and prediction
Soheil Sadeghi Eshkevari, Martin Takáč, Shamim N. Pakzad +1
Data-driven models for predicting dynamic responses of linear and nonlinear systems are of great importance due to their wide application from probabilistic analysis to inverse pro…
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…
Finite Difference Neural Networks: Fast Prediction of Partial Differential Equations
Zheng Shi, Nur Sila Gulgec, Albert S. Berahas +2
Discovering the underlying behavior of complex systems is an important topic in many science and engineering disciplines. In this paper, we propose a novel neural network framework…
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…
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…
FD-Net with Auxiliary Time Steps: Fast Prediction of PDEs using Hessian-Free Trust-Region Methods
Nur Sila Gulgec, Zheng Shi, Neil Deshmukh +2
Discovering the underlying physical behavior of complex systems is a crucial, but less well-understood topic in many engineering disciplines. This study proposes a finite-differenc…