Antonio Merheb

Mr. Antonio Merheb


Research Focus & Metrics

Academic Career Length

13Years (2014-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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8 September 2014 in Transportes
Verified
Journal Article
Open access
PDF file
AMAntonio Merheb
Antonio Merheb
Rosângela MottaRosângela Motta
Rosângela Motta
LBLiedi Bernucci
Liedi Bernucci
EMEdson Moura
Edson Moura
RCRobson Costa
Robson Costa
FSFernando Sgavioli
Fernando Sgavioli
Equipamento triaxial cíclico de grande escala para análise mecânica de lastro ferroviário

23 July 2024 in Infrastructures
Verified
Journal Article
Open access
PDF file
AMAntonio Merheb
Antonio Merheb
JPJoseph W Palese
Joseph W Palese
CHChristopher M Hartsough
Christopher M Hartsough
AZAllan M Zarembski
Allan M Zarembski
LBLiedi Bernucci
Liedi Bernucci
Adequate vertical track support is essential for safe and efficient railway operations. Insufficient support leads to distorted track geometry, increased dynamic loads, component stress, poor ride quality, rolling stock damage, and derailment risks. Current inspection practices focus on assessing the condition of the track components and geometry, rather than the root causes of degradation. To improve this condition, this study presents the use of a methodology that utilizes an autonomous vertical track deflection measurement system mounted on a loaded rail car (36 tonnes/axle) to support track maintenance decisions in a heavy haul railroad located in southeast Brazil. The system continuously measured substructure stiffness along the railway line. Over one year, data were collected from over 8000 km of track. The study highlighted seasonal effects on track degradation over time, identifying areas with significant deflections and high deflection rates, which contribute to issues such as differential settlement and reduced lifespan of track components. Additionally, the study revealed seasonal effects, with deflections peaking during wet weather and decreasing during dry cycles. A method to classify weak track areas was developed, facilitating monitoring and enabling more effective maintenance planning, contributing to the reduction of overall track maintenance costs and enhancing safety and operational efficiency.