Now showing items 1-10 of 3536
Disaster assessment:- damage and loss assessment methodology (DALA)
(ECLAC, Subregional Headquarters for the Caribbean, 2015)
Assessment of static rope behavior with asymmetric damage distribution
In this paper, a mechanical model is proposed to estimate the static response (stiffness, residual capacity, deformed configuration, strain/strain distribution within cross-section, and deformation capacity) of a rope ...
Ensemble classification method for structural damage assessment under varying temperature
(SAGE Publications Ltd, 2017)
Vibration-based damage assessment approaches use modal parameters, such as frequency response functions, mode shapes, and natural frequencies, as indicators of structural damage. Nevertheless, these parameters are sensitive ...
DNA damage assessment of canine freeze-dried sperm using Acridine Orange and alkaline Comet Assay
Real-Time Structural Damage Assessment Using Artificial Neural Networks and Antiresonant Frequencies
The main problem in damage assessment is the determination of how to ascertain the presence, location, and severity of structural damage given the structure’s dynamic characteristics. The most successful applications of ...
Assessment of drought damages and their uncertainties in Europe
(IOP Publishing, 2015-12)
Drought is a natural hazard triggered by a lack of precipitation that can last for several months or years. Droughts can affect a wide range of socio-economic sectors while the related direct and indirect impacts are often ...
Improvement of damage-assessment results using high-spatial density measurements
(ACADEMIC PRESS LTD ELSEVIER SCIENCE LTD, 2005-06)
Model-based damage assessment is based on measuring the distance between experimental and analytical results. In practice, measurements yield only partial mode shapes with respect to the total degrees of freedom present ...
Structural damage assessment using linear approximation with maximum entropy and transmissibility data
Supervised learning algorithms have been proposed as a suitable alternative to model updating methods in structural damage assessment, being Artificial Neural Networks the most frequently used. Notwithstanding, the slow ...