Optimization of nonlinear temperature gradient on eigenfrequency using genetic algorithm for reinforced concrete bridge structural health

Optimization of nonlinear temperature gradient on eigenfrequency using genetic algorithm for reinforced concrete bridge structural health

Structural damage detection, based on global dynamic parameters, has received considerable attention from civil engineering and even by the local communities. The former sector is facing problems on providing structural integrity to its actual bridge construction due to climate change. Changes in th...

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Bibliographic Details
Main Authors: Concepcion, Ronnie S., Ilagan, Lorena C., Valenzuela, Ira C.
Format: text
Published: Animo Repository 2020
Subjects:
Concrete bridges—Foundations and piers
Genetic algorithms
Civil Engineering
Manufacturing
Online Access:https://animorepository.dlsu.edu.ph/faculty_research/3365
https://animorepository.dlsu.edu.ph/context/faculty_research/article/4367/type/native/viewcontent/978_3_030_20904_9_11.html
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Institution: De La Salle University

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https://animorepository.dlsu.edu.ph/faculty_research/3365
https://animorepository.dlsu.edu.ph/context/faculty_research/article/4367/type/native/viewcontent/978_3_030_20904_9_11.html

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