An improved genetic algorithm (IGA) is proposed to identify the structural damage under noised vibration data in this paper. It has two functions. One is model updating by direct comparison of changes between initial analytical data and undamaged experimental data, the other damage identification by direct comparison of the changes between updated analytical data and damaged experimental data. ...

While wireless sensors are increasingly adopted in various applications, the need of developing data reduction methods to alleviate data transmission rate issue between the sensors and the data interpretation unit becomes more urgent. This article presents a new data reduction method for sensors used in structural health monitoring application. Our goal is to achieve an effective data reduction...

A computationally method on damage detection problems in structures was conducted using neural networks. The problem that is considered in this works consists of estimating the existence, location and extent of stiffness reduction in structure which is indicated by the changes of the structural static parameters such as deflection and strain. The neural network was trained to recognize the beha...

Based on wavelet packet decomposition and conditions of the support vector kernel function, a nonlinear wavelet basis is introduced to construct the kernel function of support vector machine (SVM). A tighten wavelet support vector machine (WSVM), which has strong generalization ability is also obtained. In this study, a novel damage classification method based on wavelet support vector machine ...

Copyright Notice iv To my parents and to my wife Yang and my daughter Grace for their love, support, encouragement, and inspiration v Acknowledgements I would never have been able to finish my dissertation, reach the heights or explore the breadths of knowledge without the guidance of my committee members, the discussions with my collaborators and colleagues, the support from my family and my w...

Structural damages can result in nonlinear dynamical signatures that can significantly enhance their detection. An original nonlinear damage detection approach is proposed that is based on a cascade of Hammerstein models modelisation of the structure. This model is estimated by means of the Exponential Sine Sweep Method from only one measurement. On the basis of this estimated model, the linear...

Data driven SHM methodologies take raw signals obtained from sensor networks, and process them to obtain features representative of the condition of the structure. New measurements are then compared with baselines to detect damage. Because damage-sensitive features also exhibit variation due to environmental and operational changes, these comparisons are not always straightforward and an automa...

the german translation of the qur'an is one of the ways of understanding thisholy book in german-speaking countries. but because there are deficiencies inthe translation of the quran, the reader is unable to reach this goal. the mainpurpose of this study is to identify deficiency factors in the german translationfrom the beginning until now to reduce vulnerability by providing the necessar...

Structural Health Monitoring is a growing area of interest given the benefits obtained from its use. This area includes different tasks in the damage identification process, the main important, is the damage detection since an early detection allows to avoid possible catastrophes in structures in service. Practical solutions require a big quantity of sensors and a robust system to process and o...