نتایج جستجو برای: structural damage detection
تعداد نتایج: 1153253 فیلتر نتایج به سال:
در این پایان نامه اثر پاسخ های مختلف در روش های عیب یابی مبتنی بر شبکه عصبی بررسی شده است. همچنین یک روش جدید برای عیب یابی سازه ها ارائه می شود. روش پیشنهادی دارای دو مرحله می باشد. در مرحله اول توسط شبکه عصبی تابع بنیادی شعاعی به خاطر سرعت یادگیری بالا، مکان های آسیب دیده شناسایی می شود. در مرحله دوم عیب یابی، محل دقیق و شدت آسیب اعضای سازه با بکارگیری شبکه عصبی انتشار برگشتی بخاطر قدرت یاد...
Structural health monitoring and damage detection is one of the most important subjects for mechanic and aerospace engineers. Structural fault can cause uncompensated problems for both human and environment. There are several methods for solving this problem, but the most useful methods are those which focuse on structural change in the vibrational properties. This paper presents a feasibility ...
Vibration based techniques of structural damage detection using model updating method, are computationally expensive for large-scale structures. In this study, after locating precisely the eventual damage of a structure using modal strain energy based index (MSEBI), To efficiently reduce the computational cost of model updating during the optimization process of damage severity detection, the M...
During their service life, marine pipelines continually accumulate damage as a result of the action of various environmental forces. Clearly, the development of robust techniques for early damage detection is very important to avoid the possible occurrence of a disastrous structural failure. Most of vibration-based damage detection methods require the modal properties that are obtained from mea...
this paper presents the application of three main artificial neural networks (anns) in damage detection of steel bridges. this method has the ability to indicate damage in structural elements due to a localized change of stiffness called damage zone. the changes in structural response is used to identify the states of structural damage. to circumvent the difficulty arising from the non-linear n...
DAMAGE DETECTION IN THIN PLATES USING A GRADIENT-BASED SECOND-ORDER NUMERICAL OPTIMIZATION TECHNIQUE
The purpose of the present study is the damage detection in the thin plates in terms of the wide application of such structures in various branches of engineering such as structural, mechanical, aerospace, shipbuilding, etc. using gradient-based second-order numerical optimization techniques. The technique used for optimization in this study is the second-order Levenberg-Marquardt algorithm (SO...
this paper presents new sensitivity-based methods for detection of structural damage using incomplete noisy modal data. these methods are based on the first-order derivative of modal parameters. changes of natural frequency do not usually provide spatial information on the structural damage. they are also not sensitive to the local damage. in this paper, a new sensitivity function is proposed u...
In this study, an approach for damage detection of large-scale structures is developed by employing kinetic and modal strain energies and also Heuristic Particle Swarm Optimization (HPSO) algorithm. Kinetic strain energy is employed to determine the location of structural damages. After determining the suspected damage locations, the severity of damages is obtained based on variations of modal ...
in this paper, a crack localization method for euler-bernoulli beams via an efficient static data based indicator is proposed. the crack in beams is simulated here using a triangular variation in the stiffness. static responses of a beam are obtained by the finite element modeling. in order to reduce the computational cost of damage detection method, the beam deflection is fitted through a poly...
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