An Evaluation Method of Structural Redundancy under Earthquake Action

2015 ◽  
Vol 744-746 ◽  
pp. 873-877
Author(s):  
Nan Hai Zhu ◽  
Xiao Hua Zhao ◽  
Dong Huang ◽  
Bo Zhu

Redundancy is an important component of structural robustness. A method is proposed based on the response sensitivity for assessment of the redundancy of structure under earthquake. Redundancy analysis is carried out for a single-layer reticulated dome subjected to earthquake condition. The result shows that the redundancy values are able to reveal the weak links in the structure. Members with a small redundancy are identified as structural weaknesses that are easily damaged under loads, and their failure may cause catastrophic consequences to the structure. Therefore, the members with small redundancies must be treated as key components of the structures.

2011 ◽  
Vol 308-310 ◽  
pp. 2368-2373
Author(s):  
Dong Ya An ◽  
Cheng Ming Li

The project Expo Axis is one of the landmark buildings of Expo Shanghai 2010, and its structural safety depends largely on the security of the six Sun Valleys, which are the important components of the Expo Axis. The simulation of the whole process of collapse and collision of the sun valley under earthquake action is conducted in this article. In the calculation multiple nonlinear factors are taken into account, such as material nonlinearity, large displacement effect, self-contact collision among the structure members, contact collision between the structure and the ground, etc. Through analyzing the results, a reasonable assessment of the structure of Sun Valley’s performance under the supper-large earthquake is given out. This method can also offer reference to other similar large-span steel single-layer lattice structure’s performance analysis.


Author(s):  
Edy Suharto ◽  
Aris Puji Widodo ◽  
Suryono Suryono

In education quality assurance, the accuracy of test data is crucial. However, there is still a problem regarding to the possibility of incorrect data filled by test taker during paper-based test. On the contrary, this problem does not appear in computer-based test. In this study, a method was proposed in order to analyze the accuracy of answer sheet filling out in paper-based test using data mining technique. A single layer of data comprehension was added within the method instead of raw data. The results of the study were a web-based program for data pre-processing and decision tree models. There were 374 instances which were analyzed. The accuracy of answer sheet filling out attained 95.19% while the accuracy of classification varied from 99.47% to 100% depend on evaluation method chosen. This study could motivate the administrators for test improvement since it preferred computer-based test to paper-based.


2009 ◽  
Vol 65 (2) ◽  
pp. 410-425 ◽  
Author(s):  
Hideki NAGATANI ◽  
Naomitsu AKASHI ◽  
Takenori MATSUDA ◽  
Masahiro YASUDA ◽  
Hironori ISHII ◽  
...  

2021 ◽  
Vol 11 (19) ◽  
pp. 8816
Author(s):  
Lianmeng Chen ◽  
Yihong Zeng ◽  
Weifeng Gao ◽  
Yijie Liu ◽  
Yiyi Zhou

As the current literature lacks effective nonlinear robustness evaluation method and optimal design theory of the structural robustness for flexible cable-bar tensile structure, this paper aimed to conduct further studies. Based on the theory, a fundamental robustness analysis method and a detailed calculation way through the combination of induction of performance criterion and random theory for nonlinear structural robustness quantitative evaluation method were proposed. Following this, a real Geiger cable dome structure was studied as its research object, and the influences of structural robustness of simultaneous changes of all elements section and changes of every kind of element section were analysed, respectively. Finally, the genetic algorithm was applied through MATLAB and ANSYS software to achieve optimal section layout, with the goal of minimizing structural quality on the condition that the structural robustness indicator keep less than that of the initial structure. The result revealed that the increase of the section of elements can effectively enhance structural robustness and the section changes of various elements showed different sensitivities to the influence of structural robustness. Meanwhile, structural quality can be effectively reduced by optimizing measures such as increasing the section of elements with significant effect on structural robustness and reducing the section of elements with minor effects on structural robustness, while the structural robustness indicator keeps less than that of the initial structure. The optimization reveals that quality was reduced by 42.5% in this paper.


2005 ◽  
Vol 2005.18 (0) ◽  
pp. 127-128
Author(s):  
Jyun KIYAMA ◽  
Satoshi KATSUKI ◽  
Hirobumi SHIRAISHI ◽  
Takeshi SAKUDA

2021 ◽  
Vol 12 ◽  
Author(s):  
Yuanyuan Lv ◽  
Shan Huang ◽  
Tianjiao Zhang ◽  
Bo Gao

Multilayer networks provide an efficient tool for studying complex systems, and with current, dramatic development of bioinformatics tools and accumulation of data, researchers have applied network concepts to all aspects of research problems in the field of biology. Addressing the combination of multilayer networks and bioinformatics, through summarizing the applications of multilayer network models in bioinformatics, this review classifies applications and presents a summary of the latest results. Among them, we classify the applications of multilayer networks according to the object of study. Furthermore, because of the systemic nature of biology, we classify the subjects into several hierarchical categories, such as cells, tissues, organs, and groups, according to the hierarchical nature of biological composition. On the basis of the complexity of biological systems, we selected brain research for a detailed explanation. We describe the application of multilayer networks and chronological networks in brain research to demonstrate the primary ideas associated with the application of multilayer networks in biological studies. Finally, we mention a quality assessment method focusing on multilayer and single-layer networks as an evaluation method emphasizing network studies.


Author(s):  
Murray Stewart ◽  
T.J. Beveridge ◽  
D. Sprott

The archaebacterium Methanospirillum hungatii has a sheath as part of its cell wall which is composed mainly of protein. Treatment with dithiothreitol or NaOH released the intact sheaths and electron micrographs of this material negatively stained with uranyl acetate showed flattened hollow tubes, about 0.5 μm diameter and several microns long, in which the patterns from the top and bottom were superimposed. Single layers, derived from broken tubes, were also seen and were more simply analysed. Figure 1 shows the general appearance of a single layer. There was a faint axial periodicity at 28.5 A, which was stronger at irregular multiples of 28.5 A (3 and 4 times were most common), and fine striations were also seen at about 3° to the tube axis. Low angle electron diffraction patterns (not shown) and optical diffraction patterns (Fig. 2) from these layers showed a complex meridian (as a result of the irregular nature of the repeat along the tube axis) which showed a clear maximum at 28.5 A, consistent with the basic subunit spacing.


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