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Online since: February 2018
Authors: Yan Dong Wang, Ryota Arakida, Iathong Chan, Tatsuya Nakano, Yuji Koetaka
Specimens subjected to unidirectional loading developed a story drift of 0.06 rad without strength reduction.
Specimens B14 and B20 exhibited a strength reduction at 0.04 rad story drift caused by the severe weld fracture.
The analytical responses showed good agreement with the test data.
Comparison of hysteresis curve between FE analysis and test data (Specimen U14) Analysis of beam plastic moment.
Specimens subjected to unidirectional loading developed a story drift of 0.06 rad without strength reduction
Specimens B14 and B20 exhibited a strength reduction at 0.04 rad story drift caused by the severe weld fracture.
The analytical responses showed good agreement with the test data.
Comparison of hysteresis curve between FE analysis and test data (Specimen U14) Analysis of beam plastic moment.
Specimens subjected to unidirectional loading developed a story drift of 0.06 rad without strength reduction
Online since: September 2012
Authors: Rong Huan Yu, Bao Song Deng, Tie Qing Deng, Jia Wei Yu
Quad-tree based data processing
Dealing with huge amounts of data is often a difficult challenge [3].
Multi-thread data loading.
Multi-thread data loading was used, the main thread rendering all the data in memory; other threads accomplish data exchange, view culling, and terrain update.
With the efficient algorithm of data schedule, these data can be updated real time.
For our method, the average frame rate is 46.75 fps with the first data set, and 44.57 fps with the second data set; For ROAM algorithm, the average frame rate is 41.14 fps with the first data set, and 39.44 fps with the second data set.
Multi-thread data loading.
Multi-thread data loading was used, the main thread rendering all the data in memory; other threads accomplish data exchange, view culling, and terrain update.
With the efficient algorithm of data schedule, these data can be updated real time.
For our method, the average frame rate is 46.75 fps with the first data set, and 44.57 fps with the second data set; For ROAM algorithm, the average frame rate is 41.14 fps with the first data set, and 39.44 fps with the second data set.
Online since: August 2011
Authors: Min Xiao, Bao Shou Sun, Xue Dao Shu
Fig.4c shows that percentage of area reduction impacted on axial force, technical parameters are:α=25°,β=50%, d0=50mm. percentage of area reduction is 30%, 50%, 60%, 70%.
Clearly, the influence of axial force to percentage of area reduction is complex.
It will also make rolling reduction Z reduce.
On the other hand, when the direction of transition from S1>S0 to S1=S0, the rolling reduction Z increases with the increasing of percentage of area reduction.
Because of much collected data, we choose the maximum rolling force in operating condition of each diameter to draw the curve in Fig.6.
Clearly, the influence of axial force to percentage of area reduction is complex.
It will also make rolling reduction Z reduce.
On the other hand, when the direction of transition from S1>S0 to S1=S0, the rolling reduction Z increases with the increasing of percentage of area reduction.
Because of much collected data, we choose the maximum rolling force in operating condition of each diameter to draw the curve in Fig.6.
Online since: June 2014
Authors: Christopher C. Chama
Instead, this paper evaluates some of the more elaborate mathematical models that have ever been developed on microstructure/mechanical property correlations in steels and relates them to the data obtained from this study.
The %elongation and %reduction in area were calculated from Equations (4 and 5), respectively
Results and Discussion The amounts of microconstituents in different specimens are shown in Table 2; each data point is an average from a set of 20 measurements.
In a similar study on stainless steel, Simmons [7] found that isothermal transformation at 700oC had no effect on tensile strength and %elongation but resulted in a decrease in %reduction in area.
Equations (7 and 8) predict, with the use of the data in Tables 1 and 2, a tensile strength and %reduction in area of 501 MPa and 56%, respectively for the as-received steel; experimentally determined values were 486 MPa and 72%.
The %elongation and %reduction in area were calculated from Equations (4 and 5), respectively
Results and Discussion The amounts of microconstituents in different specimens are shown in Table 2; each data point is an average from a set of 20 measurements.
In a similar study on stainless steel, Simmons [7] found that isothermal transformation at 700oC had no effect on tensile strength and %elongation but resulted in a decrease in %reduction in area.
Equations (7 and 8) predict, with the use of the data in Tables 1 and 2, a tensile strength and %reduction in area of 501 MPa and 56%, respectively for the as-received steel; experimentally determined values were 486 MPa and 72%.
Online since: January 2010
Authors: Christophe Sigli, Bernard Bès, Dimitrios Tsivoulas, Phil B. Prangnell
Other data has shown that the solubility of Mn is not greatly affected by the presence
of Zr, with only a marginal decrease reported [12].
Example maps and the statistical data obtained are presented in Figs. 1 & 2.
The segregation behaviour of Zr and Mn across a dendrite can be accurately simulated by a previously developed model that couples thermodynamic data with an analysis of solute partitioning and back diffusion (ALCAN Thermodynamic Package Prophase [17]).
STEM mode EDX measurements were performed on selected particles across a grain from the boundary to the centre and the data is presented in Fig. 6.
The reduction in Al3Zr dispersoid density resulting from the addition of Mn is probably related to a lower Zr supersaturation during homogenisation.
Example maps and the statistical data obtained are presented in Figs. 1 & 2.
The segregation behaviour of Zr and Mn across a dendrite can be accurately simulated by a previously developed model that couples thermodynamic data with an analysis of solute partitioning and back diffusion (ALCAN Thermodynamic Package Prophase [17]).
STEM mode EDX measurements were performed on selected particles across a grain from the boundary to the centre and the data is presented in Fig. 6.
The reduction in Al3Zr dispersoid density resulting from the addition of Mn is probably related to a lower Zr supersaturation during homogenisation.
Online since: June 2012
Authors: Jin Ju Seo, Dong Pyo Hong, Namr Young Choi, Hyun Sik Kim, Zhao Li, Ilteck Lee
In this paper, whether FCC Unit has structural stability or not, we found out FEA(Finite Element) after trying 3D modeling by using FCC Unit’s condition of design and critical stress as a translating data.
Data of pressure vessel follows ASME, and we made an assessment through this standard.
Fig.2
According to the results of the analysis, the Equivalent (von-Mises) stress is 188.84MPa, the data is on the ASME Code, which is higher than 180MPa.
The Equivalent (von-Mises) stress is 123.61MPa, this data satisfies the ASME Code.
In this paper, Rib reinforcement was used for a method of stress reduction.
Data of pressure vessel follows ASME, and we made an assessment through this standard.
Fig.2
The Equivalent (von-Mises) stress is 123.61MPa, this data satisfies the ASME Code.
In this paper, Rib reinforcement was used for a method of stress reduction.
Online since: October 2013
Authors: André Ribeiro Lins de Albuquerque, Cecília Sosa Arias Peixoto, Luiz Teruo Kawamoto Júnior, Georgea Duarte, Jones Erni Schmitz, Cesar Xavier
The partner plant of this project has an automation structure that allowed the access to its database by a server in which are stored all the data derived from the instrumentation installed in the distillation apparatus.
It must be pointed that digital control systems operate with data collected regularly after a certain time interval, called sampling interval (∆t) and all the other temporal parameters are multiples of this value
In addition, the data must be rearranged according to the number of unary delays of the inputs, called regressors number (Nr), and for the outputs, called number of estimators (Ne).
(9) The use of the model for predictions, after the training, also requires the data to be organized according to the Eq. 8.
The data required for process identification and validation of models were collected on June 16th, 2009 according to the sampling time of 1 s.
It must be pointed that digital control systems operate with data collected regularly after a certain time interval, called sampling interval (∆t) and all the other temporal parameters are multiples of this value
In addition, the data must be rearranged according to the number of unary delays of the inputs, called regressors number (Nr), and for the outputs, called number of estimators (Ne).
(9) The use of the model for predictions, after the training, also requires the data to be organized according to the Eq. 8.
The data required for process identification and validation of models were collected on June 16th, 2009 according to the sampling time of 1 s.
Online since: June 2016
Authors: Rachid Chebili, Mohamed Amine Touzout
In this paper, we have considered a reinforced concrete dome and vault, where the bending moment and strain energy were used as objective function to be minimized using genetic algorithm, and model reduction method by proper orthogonal decomposition based on the results of finite element analysis of gradually changed design parameters.
In the present, a model reduction technique via POD-RBF, which is based on initially calculated structural response data of different rise to span ratios, has been used.
The POD is a statistical method for data analysis employed for model reduction in many fields [14, 15].
The structural response, known here as snapshots, this data which is expected to be correlated is stored in matrix U.
Pettarin, Crack identification using model reduction based on proper orthogonal decomposition coupled with radial basis functions, Structural and Multidisciplinary Optimization, (2016) 1-10
In the present, a model reduction technique via POD-RBF, which is based on initially calculated structural response data of different rise to span ratios, has been used.
The POD is a statistical method for data analysis employed for model reduction in many fields [14, 15].
The structural response, known here as snapshots, this data which is expected to be correlated is stored in matrix U.
Pettarin, Crack identification using model reduction based on proper orthogonal decomposition coupled with radial basis functions, Structural and Multidisciplinary Optimization, (2016) 1-10
Online since: November 2005
Authors: Jae Hoon Kim, Duck Hoi Kim, Hu Shik Kim, Byoung Jun Park
UT C-Scan is used to determine
the impact damage characteristics and CAI tests are carried out to evaluate quantitatively the
reduction of compressive strength by impact loading.
UT C-scan is used to determine impact damage characteristics and CAI tests are carried out to evaluate quantitatively the reduction of compressive strength by impact loading.
Impact tests for as-received and aged specimens were conducted using a Dynatup Model 8250 drop tester with an instrumented impact test data system.
The trend that an increasing rate of maximum load is reduced with the increases of impact energy means that stiffness reduction due to damage occurrence is induced.
A strength reduction of about 50% was measured in this region.
UT C-scan is used to determine impact damage characteristics and CAI tests are carried out to evaluate quantitatively the reduction of compressive strength by impact loading.
Impact tests for as-received and aged specimens were conducted using a Dynatup Model 8250 drop tester with an instrumented impact test data system.
The trend that an increasing rate of maximum load is reduced with the increases of impact energy means that stiffness reduction due to damage occurrence is induced.
A strength reduction of about 50% was measured in this region.
Online since: August 2013
Authors: Zhao Shun Wang, Shubra Deb Das, Mary Cindy Ah Kioon
Security Analysis of MD5 algorithm in Password Storage
Mary Cindy Ah Kioon, ZhaoShun Wang, Shubra Deb Das
School of Computer and Communication Engineering,University of Science and Technology (USTB), Beijing,Beijing 100083, China
email: cindyak86@gmail.com , zhswang@sohu.com and shubra_ustb@yahoo.com
Keywords: component; MD5; Password Storage Security; Data Security; Dictionary attacks; Rainbow Tables
Abstract.
Rainbow tables differ from hash tables in that they are created using both reduction and hash functions.
Reduction functions convert a hash value to a plaintext.
By alternating the hash function with the reduction function, chains of alternating passwords and hash values are formed.
Conclusion Password storage security is one important aspect of data security as most systems nowadays require an authentication method using passwords.
Rainbow tables differ from hash tables in that they are created using both reduction and hash functions.
Reduction functions convert a hash value to a plaintext.
By alternating the hash function with the reduction function, chains of alternating passwords and hash values are formed.
Conclusion Password storage security is one important aspect of data security as most systems nowadays require an authentication method using passwords.