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Damage Models and Algorithms for Assessment of Structures under Operating Conditions

- Structures and Infrastructures Book Series, Vol. 5

About Damage Models and Algorithms for Assessment of Structures under Operating Conditions

Exceptionally useful in monitoring structural health, Damage Models and Algorithms for Assessment of Structures under Operating Conditions provides the suitable algorithms to convert collected data in order to gain knowledge of the condition of an infrastructure for maintenance scheduling purposes. It addresses developments in time response series and its derivatives including the wavelet-based impulse response function and also discusses loads on the structure (vehicular load, the ground micro tremor and ambient random excitation from the supports) in the conditions assessment. In addition, it examines the treatment of uncertainties and the study of their propagation in the inverse problem of structural condition assessment.

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  • Language:
  • English
  • ISBN:
  • 9781138372535
  • Binding:
  • Paperback
  • Pages:
  • 360
  • Published:
  • August 9, 2018
  • Dimensions:
  • 174x246x0 mm.
  • Weight:
  • 453 g.
Delivery: 1-2 weeks
Expected delivery: December 4, 2024

Description of Damage Models and Algorithms for Assessment of Structures under Operating Conditions

Exceptionally useful in monitoring structural health, Damage Models and Algorithms for Assessment of Structures under Operating Conditions provides the suitable algorithms to convert collected data in order to gain knowledge of the condition of an infrastructure for maintenance scheduling purposes. It addresses developments in time response series and its derivatives including the wavelet-based impulse response function and also discusses loads on the structure (vehicular load, the ground micro tremor and ambient random excitation from the supports) in the conditions assessment. In addition, it examines the treatment of uncertainties and the study of their propagation in the inverse problem of structural condition assessment.

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