Study of the Dynamic and Equivalent Static Analysis Methods for Seismic Design of Bridges: Ranges of Applicability, Effect of Modelling Assumptions, and Support Conditions

2009 ◽  
Author(s):  
M.M. Bakhoum ◽  
S. Athanasious
Keyword(s):  
Static Analysis ◽  
Seismic Design ◽  
Analysis Methods ◽  
Support Conditions ◽  
Modelling Assumptions

A New Dynamic Protocol Analysis Model

2013 ◽  
Vol 765-767 ◽  
pp. 1761-1765
Author(s):  
Fu Lin Li ◽  
Jie Yang ◽  
Hong Wei Zhou ◽  
Ying Liu
Keyword(s):  
Static Analysis ◽  
Theorem Proving ◽  
Protocol Analysis ◽  
Experimental Results ◽  
Analysis Model ◽  
Formal Validation ◽  
Analysis Methods

Traditional static analysis methods such as formal validation and theorem proving were used to analyze protocols security previously. These methods can not measure and evaluate actual security of protocols accurately for the setting and suppose are far from the actual conditions. This paper proposes a new dynamic protocol analysis model. The system based on the model can be used to active test in actual running conditions, analyze known protocols security, integrity, robustness, and analyze unknown protocols online, provide support for protocol designer. The systems structure, working flow and implementation of key modules are described. The experimental results validate the validity of the models design.

Evaluated Results of Seismic Design Approach Using Inelastic Dynamic Analysis for Equipment

2019 ◽  
Author(s):  
Ichiro Tamura ◽  
Atsushi Okubo ◽  
Yusuke Minakawa ◽  
Tadashi Iijima ◽  
Yoshio Namita ◽  
...  
Keyword(s):  
Dynamic Analysis ◽  
Static Analysis ◽  
Seismic Design ◽  
Evaluation Method ◽  
Design Approach ◽  
Model Parameters ◽  
Seismic Safety ◽  
Inelastic Analysis ◽  
Safety Margins ◽  
Core Shroud

Abstract Securing adequate seismic safety margins has been important in safety reviews regarding the seismic design of equipment and piping systems in nuclear power plants, and there exists an increasing need for a more exact method for evaluating these margins. To this end, it is reasonable to take into account the reduction of seismic responses resulting from inelastic deformation. The authors studied this approach utilizing an elastic allowable limit in existing standard. The applicability of the proposed evaluation method was investigated by comparison with the conventional evaluation method. The proposed method consists of an inelastic dynamic analysis and an elastic-static analysis. The elastic-static analysis uses a load obtained from the inelastic dynamic analysis. For the investigation, the result obtained from the proposed method was compared with that obtained from the conventional elastic analysis to quantify the reduction in responses leading to seismic safety margins. For the comparison, the authors constructed three models that simulate a cantilever-type beam, four-legged tank, and core shroud and applied them to the analysis herein, and the applicability of our method was discussed for these models. In this paper, we present three topics. First, we present a scheme for developing the design approach of using inelastic analysis. Second, we report a sensitivity study of model parameters, such as yielding stress and second stiffness, done by analyzing the cantilever-type beam for the proposed method. Finally, we report the application of the method to the four-legged tank and core shroud.

Response Modification Factor of Steel Frames with and Without Dampers

2020 ◽  
Vol 9 (6) ◽  
pp. 950-953
Keyword(s):  
Static Analysis ◽  
Seismic Design ◽  
Numerical Models ◽  
Steel Structures ◽  
Design Stage ◽  
Design Parameters ◽  
Element Analysis ◽  
Response Modification Factor ◽  
Numerical Studies ◽  
Modification Factor

Response modification factor (R) performs as one of the main seismic design parameters of new structures during earthquake and is considered as significant parameter of nonlinear equivalent static analysis which is a widely used method to evaluate the seismic response of a structure. A review of the literature illustrates that although various numerical studies have investigated the effect of viscous dampers on the response modification factor (R), lack of experimental study has been conducted to verify the numerical models. This study evaluates the response modification factor of steel frame with and without viscous damper. Experimental and numerical analysis have been conducted in the present research. It is found that results from finite element analysis agree well with the experimental results. Besides, the use of damper increases significantly the response modification factors of steel structures, e.g., the factor of structures with dampers are approximate 32% higher than the structures without dampers. The determined response modification factors for the different structures used in this study can be applied to conduct equivalent static analysis of buildings as an initial design stage.

Combination of modal responses in linear spectral method: comparison of different formulae for correlation coefficients

2021 ◽  
pp. 32-42
Author(s):  
Alexander G. Tyapin
Keyword(s):  
Spectral Method ◽  
Static Analysis ◽  
Seismic Design ◽  
Method Comparison ◽  
Correlation Coefficients ◽  
Design Analysis ◽  
Common Method ◽  
The Common ◽  
The One ◽  
Mode Response

Linear-spectral method (LSM) is still the common method for the seismic design analysis. "One-component one-mode" responses, obtained by static analysis in the conventional variant of LSM, are combined twice: first for different modes but for each single excitation component separately, then for the different excitation components. In the alternative LSM variant presented in the Russian code SP 14.13330, first one chooses the "most dangerous" direction of the one-component excitation for each mode; then calculates the "one-mode" response for this excitation, and finally these responses are combined. In both cases the combination is performed using the complete quadratic combination (CQC) rule. Different documents suggest different formulae for the correlation coefficients. In the paper different formulae are compared to each other. The goal is to limit the number of calculated coefficients and decrease the amount of calculations.

A Research on Detection and Identification of Harmful Gas Utilizing Cataluminescence-Based Sensor Array

2013 ◽  
Vol 288 ◽  
pp. 109-113
Author(s):  
Li Shan Zhou
Keyword(s):  
Metal Oxides ◽  
Static Analysis ◽  
Sensor Array ◽  
Working Temperature ◽  
Analysis Methods ◽  
Detection And Identification ◽  
Nanosized Catalysts ◽  
Promising Perspective

A novel cataluminescence(CTL)-based sensor array consisting of 9 types of catalytic nanomaterials was developed for the determination and identification of harmful gas. The sensing nanomaterials, including nano-sized metal oxides, carbonates and decorated nanoparticles, have been selected carefully. A 3 x 3 array was integrated by depositing these nanosized catalysts onto the ceramic chip. Dynamic and static analysis methods were utilized to characterize the performance of the sensor array to 4 kinds of harmful gas. Each compound gives its unique CTL pattern after interact with the sensor array, which can be employed to recognize ether, acetone, chloroform, and toluene. PCA was conducted to classify the harmful gas and the plots showed that the groups were well classified. In addition, the patterns obtained at different working temperature and the analytical characteristics of array were investigated. The CTL-based sensor array shows promising perspective for the recognition and discrimination of harmful gas.

Studying higher mode effects on the performance of nonlinear static analysis methods considering near-fault effects

2013 ◽  
Vol 17 (2) ◽  
pp. 426-437 ◽  
Author(s):  
S. F. Ghahari ◽  
H. R. Moradnejad ◽  
M. S. Rouhanimanesh ◽  
A. Sarvghad-Moghadam
Keyword(s):  
Static Analysis ◽  
Nonlinear Static Analysis ◽  
Higher Mode Effects ◽  
Mode Effects ◽  
Near Fault ◽  
Analysis Methods ◽  
Nonlinear Static

A Research of Virus Detection Combined Dynamic and Static Analysis Methods

2011 ◽  
Vol 187 ◽  
pp. 625-630
Author(s):  
Chun Yu Miao ◽  
Li Na Chen
Keyword(s):  
Neural Network ◽  
Static Analysis ◽  
Detection System ◽  
Probabilistic Neural Network ◽  
Virus Detection ◽  
Support Vector ◽  
Svm Classifier ◽  
Analysis Methods ◽  
Individual Classifier ◽  
Theory Of Evidence

we present a virus detection system based on the D-S theory of evidence, in which the dynamic and static analysis methods are combined. The detection engine applies two types of classifier, support vector amchine and probabilistic neural network to detect the virus. For SVM classifier, we extract the feature vector by monitoring the samples. And the static feature of samples is used in the probabilistic neural network classifier. Finally, the D-S theory of evidence is used to combine the contribution of each individual classifier to give the final decision.experiments show the presented method is more efficiently of the virus detections.

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