Damage detection in a reinforced concrete bridge applying wavelet transform in experimental and numerical data

6Citations
Citations of this article
7Readers
Mendeley users who have this article in their library.

Abstract

In recent years there has been constant concern in the scientific community to identify techniques for damage detection in structures. Such apprehension has contributed to the progressive development of Structural Health Monitoring. This paper proposes a methodology using Continuous Wavelet Transform associated with interpolation and regularization techniques applied to the experimental and numerical mode shapes of the Dogna Bridge using only the damaged bridge responses. Dogna Bridge is a four-span, single-lane concrete bridge, 64m long and 4m wide. The results of the analyses are presented and discussed in this paper.

Cite

CITATION STYLE

APA

Silva, R. S. Y. R. C., Palechor, E. U. L., Bezerra, L. M., De Morais, M. V. G., & Da Silva, W. V. (2019). Damage detection in a reinforced concrete bridge applying wavelet transform in experimental and numerical data. Frattura Ed Integrita Strutturale, 13(48), 693–705. https://doi.org/10.3221/IGF-ESIS.48.65

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free