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Online since: June 2020
Authors: Zdeněk Prošek, Vladimír Hrbek, Petr Bily, Lukáš Vrablik
The elastic micro-mechanical features of individual phases were derived from grid indentation data measured on selected samples (Ti 700 series, Hysitron Inc.).
Indentation moduli of individual phases were derived from normalized histograms of the measured data using spectral deconvolution.
The histograms were cleared from incorrectly measured data, caused by human error or environmental conditions.
Overall effective micro-mechanical features were determined from merged, independently processed data of both material levels.
Collected data of this particular study (microscale investigation of material homogenization) are to be further used in material simulation of the composite.
Online since: March 2014
Authors: Peter Walker, Hector Fabio Archila-Santos, Martin Philip Ansell
The elastic properties were evaluated to provide data for finite element modelling (FEM). 2.
Modulus of Elasticity (MOE) and Poisson’s ratio (ʋ) were calculated from the experimental data.
An INSTRON 5585H floor model testing machine with a 200kN load cell was used for the tensile tests and a Vishay System 6000 (Model 6100) Data Logger was used to record the data from the micro-strain gauges.
Volume reduction of void spaces is due to the buckling of parenchyma cells whereas fibre bundles come closer as seen in Figure 8.
A well-known benefit from THM modification is the reduction of the water uptake in timber [12].
Online since: January 2019
Authors: Dominik Laner, David Laner, Fritz Kleemann
The results show that production and erection are already very efficient with regard to waste generation and prevention potentials mainly exist in further offcut reduction and optimization in packaging.
However, important measures for waste reduction are related to the easy exchangeability of building components as well as their reusability.
As a basis for LCAs of prefabricated wood components for buildings, Achenbach and Rüter [2] provide extensive data.
Over the initial use period of 50 years, this results in a reduction of waste generation by one third.
Price, Architects’ perspectives on construction waste reduction by design, Waste Management. 28(7) (2008) 1147-1158 [6] C.
Online since: July 2024
Authors: Nida Azhar, Farrukh Arif, Rahyab Ahmed Khan
It draws from a comprehensive review of relevant literature and primary data collected from policymakers, experts, and stakeholders.
Current study is theoretical and conducted on data obtained from secondary sources.
Thus, data is then calculated in comparison with data obtained from governmental authorities released statistics for Karachi.
After collecting data and calculating resultant values as per the Eq. 1, following data is achieved which is represented in Table 2.
Similarly, replacing showerheads could contribute to a 5% annual reduction in water usage.
Online since: December 2010
Authors: Luis Alonso, Benito Lauret, Fernando Alonso
Ramiro de Maeztu, s/n, 28040 Madrid, Spain 2 Languages and Systems and Software Engineering Department, School of Computing, UPM, Campus de Montegancedo, s/n, 28660 Boadilla del Monte, Madrid, Spain aluis@pyfarquitectura.com, bbenito.lauret@upm.es, cfalonso@fi.upm.es Keywords: Monolithic silica gel insulation; aerogel; energy reduction; space saving; thermal insulation; transparent vacuum insulation panels; lightweight envelope; free-form panels; transparent panels; high energy efficiency.
We have compared this information with data supplied by other independent scientific tests run by Moner-Girona, Roig, and Molins (CSIC) [4] and by independent laboratories like Zae Bayern (Germany) [5] or the University of Denmark [6].
Data loggers are placed inside each box for monitoring purposes to measure and compare their inside temperature.
These trials were evaluated and compared with the computer-simulated aerogel data and data from the theoretical study (see comparison in Fig. 3), and we arrived at the following conclusion: Fig. 3 Comparison of empirical data The properties of the proposed component are better than double-glazed VIPs and reinforced polyester panels (Okalux and Kallwall) separately, as it combines the properties of the two to generate a new system and solve the problems specified earlier.
- Maximum temperature: should withstand temperatures of from 120°C to 250ºC thanks to the outer glass fiber sandwich - Weighted sound reduction value: estimated at 26-45 dB Testing.
Online since: March 2013
Authors: Jie Jun Tang, Fang Guo, Wei Gu, Fang Yuan
The strength reduction method is formed by combining strength reduction concept, limit balance principle with elastoplastic finity element calculation principle.For a certain strength reduction coefficient,adjusts c, with formula (2)[6-7], is the strength reduction coefficient.Stress field, strain field and displacement field are ensured with finite element numerical calculation.
(2) Where is strength reduction coefficient.
Fig.3 Sketch of simple support situation of slope In order to learn the real reasons for fissure,used SIGMA/W of geo-studio to analyse the horizontal displacement of slope edge and settlement of slope top,then got deformation datas as shown in fig.4~fig.6.
Application of strength reduction fem in soil and rock slope[J].
Global safety factor of compound soil-nailed wall determind by strength reduction method[J].
Online since: May 2010
Authors: Chun Lai Chai
Following is what they do on Web Data Mining.
Following is what they do on Web Data Mining.
All these have prompted the need for intelligent data analysis methodologies, which could discover useful knowledge from data.
The additional steps in the KDD process, such as data preparation, data selection, data cleaning, incorporation of appropriate prior knowledge, and proper interpretation of the results of mining, ensures that useful knowledge is derived from the data.
Dimensionality reduction using genetic algorithm.
Online since: July 2013
Authors: Neng Sheng Bao, Shi Liang Fei, Xue Jia Huang, Tie Quan Liu, Jin Huang
The LabVIEW-based software design of platform achieves many functions, including multi-axis positioning control, data acquisition and processing, data interface and operation interface.
Fig. 3 LabVIEW front panel of position control program Fig. 4 LabVIEW front panel of data acquisition program Subroutine design for data acquisition Data acquisition program was designed as a separate subroutine module based on Altai USB2817 data acquisition card for system program calls, as well as cooperation with the positioning control program.
Data acquisition subroutine was designed in stacking order programming ideas.
The LabVIEW front panel of data acquisition program is as shown in Figure 4.
Specific process is as follows: positioning the measuring point, then collecting data by data acquisition program, and displaying average data on the front panel.
Online since: January 2013
Authors: Nandy Putra, Wayan Nata Septiadi, Ridho Irwansyah
They compared thermal conductivity data obtained by different experimental approaches for identical sample of various nanofluids.
All K-type thermocouples have 0.05 mm in diameter and were connected to a high precision data acquisition system (NI 9211 by National Instrument).
Reduction in thermal resistance reached 14% compared with the distilled water as working fluid in the same condition.
The increased concentrations of nanofluid affected the reduction of the thermal resistance of heat pipe.
Doucet, New temperature dependent thermal conductivity data for water-based nanofluids, International Journal of Thermal Sciences 48 (2) (2009) 363–371
Online since: October 2016
Authors: Song Zhang, Jiang Feng Li, T. Liu
The hardness reduction near the diffusion was examined by means of micro-hardness test.
Fig. 2(b), the distribution curve of elements is fitting from the EDS point scan data, while the dotted line represents the interface.
From the data of EDS analysis, it can be seen that the diffusion depth of Fe element of the alloy cast iron to the WC/Co cemented carbides and W element of WC/Co cemented carbides to the alloy cast iron are listed in Table 5.
Elements diffusion may cause hardness reduction of tool and workpiece, thus negative impact the processing quality.
Barin, Thermochemical data of pure substances, Science Press, Beijing, 2003
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