【摘 要】
：
The relative sensitivities of structural dynamical parameters were analyzed using a directive derivation method. The neural network is able to approximate arbit
【机 构】
：
Research Institute of Structural Engineering and Disaster Reduction,Department of Architecture
论文部分内容阅读
The relative sensitivities of structural dynamical parameters were analyzed using a directive derivation method. The neural network is able to approximate arbitrary nonlinear mapping relationship, so it is a powerful damage identification tool for unknown systems. A neural network-based approach was presented for the structural damage detection. The combined parameters were presented as the input vector of the neural network, which computed with the change rates of the several former natural frequencies (C), the change ratios of the frequencies (R), and the assurance criterions of flexibilities ( A ). Some numerical simulation examples, such as, cantilever and truss with different damage extends and different damage locations were analyzed. The results indicate that the combined parameters are more suitable for the input patterns of neural networks than the other parameters alone.
其他文献
Four different topics for high-temperature components, namely the development of the assessment codes for the structural integrity of high-temperature component
Blast vibration analysis constitutes the foundation for studying the control of blasting vibration damage and provides the precondition of controlling blasting
On the basis of analyzing the machine-workpiece-tool system, the main factors affecting diameter errors in bars turning are considered, and the mathematic model
Based on the advanced integrated technology of materials preparation and formation, a new pattern ZnAl-Mg-RE anti-corrosion coating for steel structure sustaina
Failure, especially induced by cracks, usually occurred in the service process of chemical equipment, which could cause the medium leakage, fire hazard and expl
目的掌握饮用高砷水地区居民砷中毒发病状况,为防治提供科学依据.方法以村为单位,采用整群拉网式调查.结果调查724人,发现可疑病人44人,轻度病人18例,砷中毒病人62例,患病率8
The present status and development trends of nano-composite coatings were briefly introduced. The nano-SiO2 was dispersed into crylic acid resin by ultrasonic w
A complete state variable current-mode biquadratic filter built by duo-output CCⅡ (DOCCⅡ) with variable current gain is presented. All the coefficients of the
A molecular dynamics simulation study has been performed for the formation and evolution characteristics of nano-clusters in a large-scale system consisting of
Q 学习算法是求解信息不完全马尔可夫决策问题的一种强化学习方法.Q 学习中强化信号的设计是影响学习效果的重要因素.本文提出一种基于模糊规则的 Q 学习强化信号的设计方法,