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Ltd. of CREEC, Kunming 650200, China Corresponding author: Huashu Yang, E-mail: yhs005914@qq.com Keywords: structural concrete; bearing capacity; deterioration of building; engineering indices Abstract: Found on data of accelerated life test, the relationship between outward disease of structural concrete and holistic deterioration of building was analysed.
Outward diseases effect on buildings In order to study the relationship between surface disease and deterioration of structural concrete quality, orthogonal experiment theory was adopted, a series of mix proportion was designed in the allow range of main materials of concrete; Standard test and accelerated test which aimed at diseases such as abrasion,scour erosion and carbonization had been done by making a large number of specimen; 4 times repeated test (several days repeated test included) ,calculation of reliability and discrete error analysis had been done for every group of formula, so the data that we get could be reliable.
The factor is what leads reduction of effective cubage because of these diseases.
Permeability resistance mainly depends on the material density and pore characteristics, as well as water stop facilities between each part; Main factors of stability reduction are the reduction of compressive strength of section and bulk density; The main factor that influences the compressive ability is the reduction of intensity of concrete, plate, beam that have small size also need to consider the reduction of cross-sectional area.
The main factor that influences the tensile strength of rebar is the reduction of section due to corrosion; The main factor that influences the cohesion of concrete is the metamorphism or stripping of effective components in concrete, and it leads the reduction of tensile strength in concrete and reduction of bulk density; The factors that influence the normal operation of foundation are subsidence, abrupt stress, recombinant and seepage deformation,etc.

When a catalyst supports this reaction they are usually referred to as selective catalytic reduction (SCR) processes, while the processes are known as selective on-catalytic reduction processes without catalyst used (SNCR). 1.
According to the results of the experimental data, Salimina obtained the branch coefficient a is 0.29 at least in the model.
The NH2 produced will react along with two paths: the reduction and oxidation.
The reduction reaction is mainly dependent on the self-sustaining reaction, i.e. the reaction (2-1).
Control of combusion generated nitrogen oxides by selective non-catalytic reduction[J].

Numerical simulation method combining the experimental data is also used to predict mechanical performance of the new connection fitting, which provides guidance for the manufacturing process.
Based on the typical electrical connection fitting-Clevis, a new method for reduction of weight in electrical power fittings has been proposed under the premise of ensuring strength.
Mechanical calculation has been conducted subsequently based on the experimental data obtained.
Conclusions & future work A new method for weight reduction in transmission line fittings has been proposed, which expands the application fields of ultra-high strength steel.
Under the premise of ensuring strength, new design Clevis-Clevis has a weight reduction of at least 60% than the traditional one.

In a metal casting environment, teams of total Quality Management collect isolate problem areas, quality related problem data and establish the need for corrective actions.
In addition, improvements translate into cost reductions.
When a production card is being maintained, there is no need to relay on the memories of supervisors and operators for important data All rejected castings, wherever they are arise, should be collected and segregated into marked scrap enclosures.
They should analyze the rejection data with any analyzing tool like Statistical Quality Control, Failure Mode Effect Analysis, Fault Tree Analysis, etc.
Yasin, Gregory S.Little, A Systematic Approach to Understanding Cost of Quality: A Field Study, Industrial & Data Systems, Vol.99, No.8, pp.362-366, 1999

XRD patterns of LaCoO3 oxides ultra-sounded for different time The unit cell data of LCO was calculated by Jade. 5 and the average lattice constants obtained are listed in table 1.
The low temperature reduction peak appears at 370-405ºC and the high temperature reduction peak appears at 600-655ºC, which is showed in table 2.
Larger reduction peak area and lower reduction temperature is correspondence with stronger oxidizing ability of the sample.
From the H2-TPR curve, we can find that at low temperature reduction zone, the ultrasonic treated samples required much more hydrogen consumption and the reduction temperature overall decreased, which implied that ultrasonic assistance can effectively decrease reduction temperature of the samples in the zone of low temperature.
Reduction peak of all of the ultrasonic treated samples comes with a peak shoulder, and reduction temperature range expanded significantly when ultrasonic assisted time was 40min and 60min.

In some cases a really significant reduction of the compressive strength is observed due to a pronounced air entrapment in the mixture.
The management software Data manager, E-module and Advantest 9 performed the remote control of the system.
In the case of polymer-added mixtures a drastic reduction in the strength was observed, in the order of 50-60%.
This reduction was limited to 13-14% at 80 days.
This thesis seems also be supported by the improvement of resistance data recorded with increasing days of maturation of the specimens and by the smaller hydrating products observed in SEM analyses.

The result showed high induced natural ventilation and providing heat gain reduction.
This paper proposes the new roof tile Ventilated (RTV) for heat gain reduction and providing thermal comfort.
The thermocouples were connected to a data logger (Hioki, Model: 8422-52, accuracy ±0.8%).
Experimentation started at 6:00 a.m. to 6:00 p.m., record data every 30 min intervals.
Heat Flux and Solar Radiation Figure 13 depicted the heat flux and percentage heat flux reduction.

PCA and LDA play a significant role in dimensional reduction and have attracted attentions in intelligent data analysis.
PCA and LDA are optimal only if data of each class follows normal distribution.
Based on a tradeoff between PCA and LDA, HDA is proposed to adapt to more complex data.
Denote the number of input data dimension as,, , It is clear that when appears.
Yan, Feature extraction and uncorrelated discriminant analysis for high-dimensional data, IEEE Trans.Knowledge and Data Engineering. 8 (2007) 1-14

Aluminum alloy is a favorable material for weight reduction.
Fig. 3 shows the calibration diagram used in the present paper with some plots of experimental data as examples.
Fig. 3 : Example of calibration diagram and plotted data Experimental setup The experiments were carried out using a 1.5MN servo press AIDA DSF-N2-1600.
Table 3 : Pickup grade with A7075-O Table 4 : Pickup grade with A6061-T6 ( ○: No adhesion, －: No data ) ( ○: No adhesion, －: No data ) Die Punch stroke SP (mm) 13 15.5 17.5 Type I-S ― ― ― Type I-L ○ ○ ○ Type II-L ○ ○ SS Die Punch stroke SP (mm) 13 15.5 17.5 Type I-S ○ S SS Type I-L S ○ SS Type II-L ― ― ― It is well known that a dry-in-place type lubricant film is generally influenced greatly by the surroundings such as temperature and humidity.
Fig. 8 : Change of friction shear factors during three years The effects of preprocess on mD were compared using data obtained in a day for each material.

However, power demand reduction is usually one of the ultimate objectives.
The relevant data required for the analysis is initially obtained through a household and market survey as well as from the local utility.
Data from utility regarding electricity system load should be collected to get a particular day when the highest peak load occurs.
Data collected from the household survey consists of general data and electricity consumption data.
The compiled data based on the survey consisting of four essentials information: number of lamps of each lamp type, average number of lamps per household, total number of lamps in household and average daily operating hours for each lighting type is then analyzed to characterize the baseline energy use for the sample.