Impairment localization and quantification using noisy static deformation influence lines and Iterative Multi-parameter Tikhonov Regularization
Abstract
Bridge structures decay throughout their lives even under nominal operating conditions. As bridge infrastructure ages and wears naturally or under extreme load, there is a need to monitor and evaluate bridge performance in an efficient way. This paper presents an impairment detection method that assesses the curvature of noisy static deformation influence lines to predict the location and severity of structural damage. In this method, a...
Paper Details
Title
Impairment localization and quantification using noisy static deformation influence lines and Iterative Multi-parameter Tikhonov Regularization
Published Date
Sep 1, 2018
Volume
109
Pages
399 - 419
Citation AnalysisPro
You’ll need to upgrade your plan to Pro
Looking to understand the true influence of a researcher’s work across journals & affiliations?
- Scinapse’s Top 10 Citation Journals & Affiliations graph reveals the quality and authenticity of citations received by a paper.
- Discover whether citations have been inflated due to self-citations, or if citations include institutional bias.
Notes
History