Johannio Marulanda Casas

Modal identification using smart mobile sensing units (eBook, ePUB)

• Format: ePub

Produktbeschreibung

Civil infrastructure systems are extraordinarily important for society. Our economy, security, health, and comfort depend directly or indirectly on the adequate transportation, habitat, and communication systems. Nowadays, in addition to the impact of strong natural and human made events, infrastructure's deterioration caused by natural use and aging is a concern of the engineering community around the world. As an example, the American Society of Civil Engineers (ASCE) have given an average grade of D to the infrastructure of the United States of America for more than 10 years with only a slight improvement in the 2001 report (American Society of Civil Engineers, 2009). Additionally, the last report states that 2.2 trillion dollars need to be invested in the next five years to achieve an acceptable level. The development and implementation of strategies to maintain, analyze, enhance, and optimize these civil infrastructure systems should be a priority. Strategies to maintain or improve existing structural systems usually require numerical models of the structure to analyze its behavior (Zárate & Caicedo, 2008). These numerical models are used to evaluate structural performance under specific conditions such as heavy loading (Schlune et al., 2009), earthquake motion (Alyami et al., 2009), wind loading (Kim et al. 2009) or human activity (Racic et al., 2009). Therefore, developing accurate models of existing structures is key to evaluate the vulnerability (Galati et al., 2008), detect damage (Teughels & De Roeck, 2004), study retrofit alternatives (Stehmeyer & Rizos, 2008) and predict the remaining useful life of structures (Fritzen & Kraemer, 2009). The accuracy of the numerical model refers to the ability to reproduce the response of the real structure having parameters with a realistic physical meaning. This implies the experimental characterization of the static and dynamic behavior of the structure to compare it with numerical results and tune the model.

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Produktdetails

• Verlag: Universidad del Valle
• Seitenzahl: 61
• Erscheinungstermin: 11. Mai 2023
• Spanisch
• ISBN-13: 9789585164253
• Artikelnr.: 68021388

Autorenporträt

Johannio Marulanda Casas: earned his bachelor's and master's degreesin Engineering from the Universidad del Valle, Colombia, and his PhD in Civil Engineering from the University of South Carolina, USA. Heis professor at the Universidad del Valle since 2005, where he has been Coordinator of the Structures Laboratory and is presently Chair of the School of Civil Engineering and Geomatics. Professor Marulanda Casas investigates structural monitoring systems for model updating and damage prognosis with the Research Group in Seismic, Eolic, Geotechnical and Structural Engineering (G-7). He also works on the use of structural control systems for improving the behavior and lifetime of structural systems. Marulanda Casas teaches undergraduate and graduate courses in Solid Mechanics, Structural Analysis and Structural Dynamics. Johannio Marulanda Casas: obtuvo su licenciatura y maestría en Ingeniería de la Universidad del Valle, Colombia, y su doctorado en Ingeniería Civil de la Universidad de Carolina del Sur, Estados Unidos. Es profesor en la Universidad del Valle desde 2005, donde ha sido Coordinador del Laboratorio de Estructuras y actualmente es Catedrático de la Facultad de Ingeniería Civil y Geomática. El profesor Marulanda Casas investiga sistemas de monitoreo estructural para actualización de modelos y pronóstico de daños con el Grupo de Investigación en Ingeniería Sísmica, Eólica, Geotécnica y Estructural (G-7). También trabaja en el uso de sistemas de control estructural para mejorar el comportamiento y la vida útil de los sistemas estructurales. Marulanda Casas imparte cursos de pregrado y posgrado en Mecánica de Sólidos, Análisis Estructural y Dinámica Estructural.