Juan Diego Aux

Mr. Juan Diego Aux

Escuela de Ingeniería Civil y Geomática, Universidad del Valle, Cali, Valle del Cauca, Colombia
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Research Focus & Metrics

Academic Career Length

3Years (2024-Present)

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

Representative Publications

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18 August 2024 in Applied Sciences
Verified
Journal Article
Open access
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JAJuan Diego Aux
Juan Diego Aux
Bryan Castillo TorresBryan Castillo Torres
Bryan Castillo Torres
JMJohannio Marulanda
Johannio Marulanda
PTPeter Thompson
Peter Thompson
Pedestrian bridges, which are essential in urban and rural infrastructures, are vulnerable to vibrations induced by pedestrian traffic owing to their low mass, stiffness, and damping. This paper presents a novel predictive model of Human-Structure Interaction (HSI) that integrates a three-dimensional biomechanical model of the human body, and a pedestrian bridge represented as a simply supported Euler-Bernoulli beam. Using inverse dynamics, the human model accurately captures three-dimensional gait and its interaction with structural vibrations. The results show that this approach provides precise estimates of human gait kinematics and kinetics, as well as the bridge response under pedestrian loads. The incorporation of a three-dimensional human gait model reflects the changes induced by bridge vibrations, providing a robust tool for evaluating and improving the effect of structural vibrations on the properties and gait patterns.

1 January 2024 in Structural Control and Health Monitoring
Verified
Journal Article
Open access
JAJuan Diego Aux
Juan Diego Aux
Bryan Castillo TorresBryan Castillo Torres
Bryan Castillo Torres
CRCarlos Riascos
Carlos Riascos
JMJohannio Marulanda
Johannio Marulanda
PTPeter Thomson
Peter Thomson
Many modern pedestrian bridges exhibit flexibility and susceptibility to vibrations due to the use of lightweight and high‐strength materials, which can cause discomfort for pedestrians and affect their serviceability. Although gait biomechanics have been extensively studied and optimisation techniques for gait prediction on rigid surfaces have been previously employed, there is a paucity of studies investigating the effects of human‐structure interaction on pedestrian crossings over flexible structures. In this study, inverse dynamics and optimisation techniques were employed to predict human gait on a flexible structure in the sagittal plane. Gait was formulated as an optimal motor task subject to multiple constraints, with the performance criterion being the minimization of mechanical energy expenditure throughout a complete gait cycle. Segmental movements, pedestrian‐applied forces, and bridge vibrations were predicted based on parameters describing gait (such as gait speed, gait frequency, and double support duration), as well as physical and dynamic parameters characterizing the pedestrian bridge (including natural frequency, damping coefficient, and bridge length).