Titlebook: Dynamics of Civil Structures, Volume 2; Proceedings of the 3 Shamim Pakzad,Caicedo Juan Conference proceedings 2016 The Society for Experim

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書目名稱Dynamics of Civil Structures, Volume 2影響因子(影響力)




書目名稱Dynamics of Civil Structures, Volume 2影響因子(影響力)學科排名




書目名稱Dynamics of Civil Structures, Volume 2網(wǎng)絡公開度




書目名稱Dynamics of Civil Structures, Volume 2網(wǎng)絡公開度學科排名




書目名稱Dynamics of Civil Structures, Volume 2被引頻次




書目名稱Dynamics of Civil Structures, Volume 2被引頻次學科排名




書目名稱Dynamics of Civil Structures, Volume 2年度引用




書目名稱Dynamics of Civil Structures, Volume 2年度引用學科排名




書目名稱Dynamics of Civil Structures, Volume 2讀者反饋




書目名稱Dynamics of Civil Structures, Volume 2讀者反饋學科排名

航海太平洋

Omnipotent

HUSH

Structural Damage Detection Through Vibrational Feature Analysis with Missing Data,oposed that rely on different damage-sensitive features. These features are derived from data collected by sensor networks implemented on the structure. Damage detection through vibration-based feature analysis thus far has relied on simulation or the responses of fixed sensor networks for feature c

低三下四之人

Structural Assessment of a School Building in Sankhu, Nepal Damaged Due to Torsional Response Durinrced concrete frame which was severely damaged during the 2015 Gorkha Earthquake. The concentration of damage in the west end of the first story indicates that the frame exhibited torsional response to the ground excitation. The authors visited the structure 2 months after the earthquake, collected

合并

Damage Detection Optimization Using Wavelet Multiresolution Analysis and Genetic Algorithm,ration-based damage detection algorithm using a damage indicator called ‘Relative Wavelet Packet Entropy’ (RWPE) was applied to determine the location and severity of damage. To improve the algorithm, GA was utilized to optimize the algorithm so as to identify the best choice of wavelet parameters.

合并

A Novel Acoustoelastic-Based Technique for Stress Measurement in Structural Components,hniques operate at the high-frequency, weakly-dispersive portions of the dispersion curves, and rely on time-of-flight measurements to quantify the effects of stress state on wave speed. This adversely affects the sensitivity and accuracy of such techniques, and renders their accuracy limited by the

聽寫

A Machine Learning Framework for Automated Functionality Monitoring of Movable Bridges,nance of these components are extremely important for uninterrupted operation of movable bridges. Unfortunately, there have been only a few studies on monitoring of mechanical components of movable bridges. As a result, in this study, a statistical framework is proposed for continuous maintenance mo

Ballad

Non-Model-Based Damage Identification of Plates Using Curvature Mode Shapes, and Gaussian curvature MSs (CMSs) to identify damage in plates. A multi-scale discrete differential-geometry scheme is proposed to calculate principal, mean and Gaussian CMSs associated with a MS of a plate, which can alleviate adverse effects of measurement noise on calculating the CMSs. Principal

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