Modal-parameter identification and vibration-based damage detection of a damaged steel truss bridge

Chang, Kai-Chun; Kim, Chulwoo

doi:10.1016/j.engstruct.2016.04.057

Cited by 175 publications

(100 citation statements)

References 27 publications

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“…donde es el módulo de elasticidad reducido para provocar el daño y es el módulo de elasticidad del material [11]. Otra forma empleada para la inclusión de daño en la estructura es la variación del área, donde se utiliza el mismo principio de la ecuación (6).…”

Section: Inclusión Del Dañounclassified

Metodología para la detección de fallas en una estructura entramada metálica empleando las técnicas de análisis modal y PSO

Acevedo

Uscátegui²,

Gómez³

et al. 2017

revuin

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Este artículo puede compartirse bajo la licencia CC BY-ND 4.0 y se referencia usando el siguiente formato: H. G. Sánchez, J. Uscátegui, S. Gómez, "Metodología para la detección de fallas en una estructura entramada metálica empleando las técnicas de análisis modal y PSO", UIS RESUMENCon el objetico de mejorar la confiabilidad de los sistemas productivos, las empresas han desarrollado metodologías para la detección de fallos incipientes. Las estructuras metálicas son revisadas con un procedimiento de inspección visual el cual no permite la detección de fallos emergentes. El propósito del presente trabajo es desarrollar una nueva metodología, basada en el análisis modal y en un algoritmo de optimización por enjambre de partículas, para detectar fallas en estas estructuras. Un modelo físico fue construido y este fue estudiado aplicando las técnicas de análisis modal. Un modelo numérico fue establecido por medio del Método de los Elementos Finitos. El algoritmo fue ejecutado y los resultados fueron comparados con resultados experimentales. La metodología fue validada y daños de diferentes niveles fueron identificados. PALABRAS CLAVE:Análisis modal, Algoritmo de optimización, Caracterización dinámica, Técnicas de identificación de daño basada en vibraciones (TIDBV), Métodos de elementos finitos. ABSTRACTWith the objective of improving the production systems reliability the companies have developed methodologies to detect incipient damages. The metallic structures are usually checked by visual inspection procedures which are not able to detect emerging falls. The purpose of the present work is to develop a novel methodology based on modal testing analysis and particle swarm optimization algorithm to detect failure in these structures. A physical model was built and it was studied applying the modal testing techniques. A numerical model was stablished by Finite Element Method (FEM). The algorithm was executed, and the results were compared with the experimental results. The methodology was validated and failure was identified for different levels damage.

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Section: Inclusión Del Dañounclassified

Metodología para la detección de fallas en una estructura entramada metálica empleando las técnicas de análisis modal y PSO

Acevedo

Uscátegui²,

Gómez³

et al. 2017

revuin

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“…An example of the MSD in use in bridge SHM can be seen in Chang & Kim's [132] modal comparative study, where multiple damage features (frequencies, MAC, COMAC. and modal damping) were extracted for the first four modes from vibration data induced by a moving vehicle on a steel truss bridge subjected to four progressively induced damage scenarios.…”

Section: Advancements To Machine Learning Methodologies For Damage Inmentioning

confidence: 99%

“…Chang & Kim [132] went on to demonstrate how the results can improve if a number of modal parameters are considered simultaneously per mode, and even further so if combined across all four modes. This method of feature stacking increases the dimensionality of the damage feature assessed and allows the utilisation of MSD's multivariate capacity.…”

Section: Advancements To Machine Learning Methodologies For Damage Inmentioning

confidence: 99%

A State of the Art Review of Modal-Based Damage Detection in Bridges: Development, Challenges, and Solutions

2017

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Abstract:Traditionally, damage identification techniques in bridges have focused on monitoring changes to modal-based Damage Sensitive Features (DSFs) due to their direct relationship with structural stiffness and their spatial information content. However, their progression to real-world applications has not been without its challenges and shortcomings, mainly stemming from: (1) environmental and operational variations; (2) inefficient utilization of machine learning algorithms for damage detection; and (3) a general over-reliance on modal-based DSFs alone. The present paper provides an in-depth review of the development of modal-based DSFs and a synopsis of the challenges they face. The paper then sets out to addresses the highlighted challenges in terms of published advancements and alternatives from recent literature.

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“…Situation in Slovakia is almost the same. Because of mentioned state, structural health monitoring (SHM) and system identification of bridges is currently reaching popularity among research teams around the world [2][3][4][5][6][7]. Moreover, increasing safety demands of new-constructed bridges and buildings confirms the interest.…”

Section: Introductionmentioning

confidence: 99%

Modal Analysis for Revision of a Fem Model of a Steel Truss Beam

Venglár

Sokol

Márföldi

2017

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Abstract. The paper deals with a preparation of a complex FEM model for a local damage detection. The initial verified and validated three-dimensional FEM model of a steel truss bridge in laboratory is revised step-by-step to achieve the accurate model according to the experimental model. The emphasis is on modelling of the joints with 4 rivets and modelling of correct boundary conditions, as well as mass parameters and cross-section dimensions.A modal analysis of the structure is performed in FEM software. Many experimental measurements were made to correctly revise the FEM model. The calculated natural frequencies are compared with the measured ones. In addition, mode-shapes from the calculation are validated with the measured mode-shapes. The difference between the prepared FEM model and the measured specimen is small enough after a few steps of tuning. The verified, validated and revised numerical model can be used in future for a local damage detection.

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Modal-parameter identification and vibration-based damage detection of a damaged steel truss bridge

Cited by 175 publications

References 27 publications

Metodología para la detección de fallas en una estructura entramada metálica empleando las técnicas de análisis modal y PSO

Metodología para la detección de fallas en una estructura entramada metálica empleando las técnicas de análisis modal y PSO

A State of the Art Review of Modal-Based Damage Detection in Bridges: Development, Challenges, and Solutions

Modal Analysis for Revision of a Fem Model of a Steel Truss Beam

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