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Online since: September 2007
Authors: Raffaele Landolfo, G. Di Lorenzo, M.R. Guerrieri, O. Mammana, Francesco Portioli
The corrosion modelling for iron structures
The particular chemical composition and the lack of experimental data makes the application of a
damage range for the characterization of the factors necessary.
These curves are obtained by processing experimental data recorded in a time interval for different environments opportunely extrapolated over a long period.
The structural model of iron roofing In order to assess the seismic response of the Umberto I Gallery roofing, a numerical model has been developed, on the basis of available data.
In Fig. 6 there is the data estimated until today (115 years) in terms of thickness reduction, to use for an analysis of the gallery [4].
In order to evaluate the effects of corrosion, the maximum values for the thickness reduction have been also assumed.
These curves are obtained by processing experimental data recorded in a time interval for different environments opportunely extrapolated over a long period.
The structural model of iron roofing In order to assess the seismic response of the Umberto I Gallery roofing, a numerical model has been developed, on the basis of available data.
In Fig. 6 there is the data estimated until today (115 years) in terms of thickness reduction, to use for an analysis of the gallery [4].
In order to evaluate the effects of corrosion, the maximum values for the thickness reduction have been also assumed.
Online since: September 2005
Authors: Stefan Zaefferer, Dorothée Dorner, Ludger Lahn
A silicon steel single crystal with initial Goss orientation, i.e. the {110}<001>
orientation, was cold rolled up to 89 % thickness reduction.
In 14 passes the sheet was rolled to a thickness of 0.25 mm corresponding to a total engineering thickness reduction of ε = 89 % (true logarithmic strain of ϕ = 2.2).
The strongest components are the two {111}<112> orientations (Fig. 2a), but the data also show that a weak Goss component is still present after 89 % thickness reduction (Fig. 2b).
Shear bands formed in cold rolled samples with thickness reductions of 77 % and higher [4,5].
(1) The texture after cold rolling up to 89 % thickness reduction is characterised by two strong symmetrically equivalent {111}<112> components.
In 14 passes the sheet was rolled to a thickness of 0.25 mm corresponding to a total engineering thickness reduction of ε = 89 % (true logarithmic strain of ϕ = 2.2).
The strongest components are the two {111}<112> orientations (Fig. 2a), but the data also show that a weak Goss component is still present after 89 % thickness reduction (Fig. 2b).
Shear bands formed in cold rolled samples with thickness reductions of 77 % and higher [4,5].
(1) The texture after cold rolling up to 89 % thickness reduction is characterised by two strong symmetrically equivalent {111}<112> components.
Online since: October 2004
Authors: Sergei Ya. Betsofen, A.L. Lapin
Comparison of the data for
superlattice and lattice reflections allows one to estimate the influence of ordering on
recrystallization (Fig 1.e and i).
In Al and АМg6 surface layers have shear components only at small deformations, since the 30% thickness reduction a sheet texture are practically homogeneous on thickness.
In 1420 alloy the surface layers have the shear texture components up to 70 % reduction.
These distinctions take place in the as-received sheet, however with increasing of rolling reduction the difference in lattice distances is increased (Table 1).
The time of each stage is reduced with increasing reduction in thickness and temperature.
In Al and АМg6 surface layers have shear components only at small deformations, since the 30% thickness reduction a sheet texture are practically homogeneous on thickness.
In 1420 alloy the surface layers have the shear texture components up to 70 % reduction.
These distinctions take place in the as-received sheet, however with increasing of rolling reduction the difference in lattice distances is increased (Table 1).
The time of each stage is reduced with increasing reduction in thickness and temperature.
Online since: September 2013
Authors: Run Min Duo, Lei Hong
The influence of the curing age on the chloride permeability of HPC will decrease with the reduction of the water-binder ratio of HPC.
However,the reduction of water-binder ratio can result in the lower influence of the standard curing age on the chloride diffusion coefficients,no matter how many freeze-thaw cycles are applied.Under the identical condition of freeze-thaw cycles,the chloride diffusion coefficient of concrete is nearly suitable to a power function of curing age,the fitting functions are in Table 4.
Table 5 Test data No.
Fig. 5 Influence curve of Chloride diffusion coefficient subjected to different water -binder ratio at different curing ages ▲-C30;■-C35;◆-C40 The fitting functions are given as following: C30: y=23.874x-0.4734 R2=0.9590 (1) C35: y=25.677x-0.5442 R2=0.9804 (2) C40: y=21.168x-0.6111 R2=0.9692 (3) Curing ages have an obvious influence on the concrete with different water-binder ratios,namely,that the lower the water-binder ratio is,the lower the chloride coefficient is,and the reduction of water-binder ratio can result in the lower influence of curing age on the chloride diffusion coefficients.Under the identical condition of freeze-thaw cycles,the chloride diffusion coefficient of concrete
However,the reduction of water-binder ratio can result in the lower influence of the standard curing age on the chloride diffusion coefficients,no matter how many freeze-thaw cycles are applied; (c) Under the identical condition of freeze-thaw cycles,the chloride diffusion coefficient of concrete is nearly suitable to a power function of freeze-thaw cycles.
However,the reduction of water-binder ratio can result in the lower influence of the standard curing age on the chloride diffusion coefficients,no matter how many freeze-thaw cycles are applied.Under the identical condition of freeze-thaw cycles,the chloride diffusion coefficient of concrete is nearly suitable to a power function of curing age,the fitting functions are in Table 4.
Table 5 Test data No.
Fig. 5 Influence curve of Chloride diffusion coefficient subjected to different water -binder ratio at different curing ages ▲-C30;■-C35;◆-C40 The fitting functions are given as following: C30: y=23.874x-0.4734 R2=0.9590 (1) C35: y=25.677x-0.5442 R2=0.9804 (2) C40: y=21.168x-0.6111 R2=0.9692 (3) Curing ages have an obvious influence on the concrete with different water-binder ratios,namely,that the lower the water-binder ratio is,the lower the chloride coefficient is,and the reduction of water-binder ratio can result in the lower influence of curing age on the chloride diffusion coefficients.Under the identical condition of freeze-thaw cycles,the chloride diffusion coefficient of concrete
However,the reduction of water-binder ratio can result in the lower influence of the standard curing age on the chloride diffusion coefficients,no matter how many freeze-thaw cycles are applied; (c) Under the identical condition of freeze-thaw cycles,the chloride diffusion coefficient of concrete is nearly suitable to a power function of freeze-thaw cycles.
Online since: July 2015
Authors: Veronika Păltânea, Horia Gavrila, Dorina Popovici, Mihai Butu, Veronica Paltanea
In the case of both steel grades is presented the reduction of the hysteresis, classical and excess losses, that occur after the applied treatments, using the concept of energy loss separation.
1.
This alloying permits the reduction of the effect of non-magnetic inclusions and to increase the grain size by metallurgical treatments [3].
This device can perform fast measurements, offers an AC frequency characterization and provides the hysteresis cycle, the relative magnetic permeability and the total power loss data.
The electrical resistivity increases with the temperature and for 700 °C the velocity diffusion of the Si atoms, dissolved in the Fe matrix is maximum, which determines the reduction of the hysteresis losses and the improvement of overall the magnetic properties, except for the magnetic saturation point, which decreases.
This is result of grain growth by annealing at high temperature, which generates a reduction of the number of domain walls and of the intensity of the micro-eddy currents [10, 11].
This alloying permits the reduction of the effect of non-magnetic inclusions and to increase the grain size by metallurgical treatments [3].
This device can perform fast measurements, offers an AC frequency characterization and provides the hysteresis cycle, the relative magnetic permeability and the total power loss data.
The electrical resistivity increases with the temperature and for 700 °C the velocity diffusion of the Si atoms, dissolved in the Fe matrix is maximum, which determines the reduction of the hysteresis losses and the improvement of overall the magnetic properties, except for the magnetic saturation point, which decreases.
This is result of grain growth by annealing at high temperature, which generates a reduction of the number of domain walls and of the intensity of the micro-eddy currents [10, 11].
Online since: September 2014
Authors: Yan Li, Xiao Qing Liu, Jia Jia Hou
Updating set approximations for these dynamic information systems is a necessary step for further knowledge reduction and decision making in DRSA.
The object is selected randomly from data sets when a conditional attribute value changes.
For this purpose, we divide all the data sets to five equal parts and data1-data5 are formed by combining the 1-5 parts.
Experimental results on real data sets show the effectiveness of the proposed approach.
Fig.1 Iris Data Fig.2 User Data Fig.3 Ionosphere Data Fig.4 QSAR Data Fig.5 Image Data Fig.6 Wine Data Acknowledgements This work is supported by the Natural Science Foundation of Hebei Province (No.
The object is selected randomly from data sets when a conditional attribute value changes.
For this purpose, we divide all the data sets to five equal parts and data1-data5 are formed by combining the 1-5 parts.
Experimental results on real data sets show the effectiveness of the proposed approach.
Fig.1 Iris Data Fig.2 User Data Fig.3 Ionosphere Data Fig.4 QSAR Data Fig.5 Image Data Fig.6 Wine Data Acknowledgements This work is supported by the Natural Science Foundation of Hebei Province (No.
Online since: January 2011
Authors: Jian Ping Zhou, Yan Xu, Wen Lei Sun
At first, the point cloud data of blade were gained using ATOS optical scanner.
Secondly simplified, smoothed and partitioned in Imageware, point cloudy data were created into curves.
Not enough data can bring errors.
Reversely too many data will fall run speed to affect later analysis work.
In reversing engineering, cloud data acquisition is crucial first step.
Secondly simplified, smoothed and partitioned in Imageware, point cloudy data were created into curves.
Not enough data can bring errors.
Reversely too many data will fall run speed to affect later analysis work.
In reversing engineering, cloud data acquisition is crucial first step.
Online since: October 2012
Authors: Tie Feng Zhang, Ming Pang, Zu Gen Yan, Liang Ma
For bigger output torque and smaller volume, the reducer with big reduction ratio was selected.
The advantages of harmonic reducer are bigger reduction ratio, smaller mass and volume, higher precision and bigger loading.
And then the reduction ratio of the harmonic reducer can be calculated according to the biggest drive torque.
When the joint angle of manipulator is [5 20 20 3 30 2], the measurement experiments data is shown as Table 1.
Table 1 Resulting data of orientation accuracy experiment Serial number offset(mm) 1 0.163 2 0.197 3 0.193 4 0.166 5 0.184 6 0.174 7 0.166 average 0.178 As shown in Table1, the average difference is 0.178mm by many times repeated experiments.
The advantages of harmonic reducer are bigger reduction ratio, smaller mass and volume, higher precision and bigger loading.
And then the reduction ratio of the harmonic reducer can be calculated according to the biggest drive torque.
When the joint angle of manipulator is [5 20 20 3 30 2], the measurement experiments data is shown as Table 1.
Table 1 Resulting data of orientation accuracy experiment Serial number offset(mm) 1 0.163 2 0.197 3 0.193 4 0.166 5 0.184 6 0.174 7 0.166 average 0.178 As shown in Table1, the average difference is 0.178mm by many times repeated experiments.
Online since: October 2010
Authors: Zhi Yong Wang, Jin Zhi Zhang
And it introduced the study area and test data.
Study area and data The Yanzhou coal mining area is located in the south of Shandong Province, China.
Taking No.1 interferometric pair as an example, we illustrated the data processing steps.
Secondly, we introduced background of Yanzhou coal mining region and data.
We also thank USGS for providing us the SRTM DEM data.
Study area and data The Yanzhou coal mining area is located in the south of Shandong Province, China.
Taking No.1 interferometric pair as an example, we illustrated the data processing steps.
Secondly, we introduced background of Yanzhou coal mining region and data.
We also thank USGS for providing us the SRTM DEM data.
Online since: August 2013
Authors: Yang Gao, Hong Mei Zhang
It would provide important theoretical basis and data support for promote the sustainable utilization of cultivated land resources.
Methodology and Data sources The change trends of arable land area from 1998 to 2009 would be analyzed.
The arable land area and socio-economic data were utilized from statistical yearbook of Anhui Province [7].
As the basic data have different dimensions and level, the data need to be standardized for equal analysis.
The data were standardized by SPSS17.0.
Methodology and Data sources The change trends of arable land area from 1998 to 2009 would be analyzed.
The arable land area and socio-economic data were utilized from statistical yearbook of Anhui Province [7].
As the basic data have different dimensions and level, the data need to be standardized for equal analysis.
The data were standardized by SPSS17.0.