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Field monitoring datum of a foundation pit are reviewed and analyzed to explain the settlement of adjacent structures.
According to the principle of effective stress, pore water pressure reduction resulted by the drop of ground water is just equal to the increment of effective stress [3-4].
P is the standard value of foundation bottom additional pressure. ψs is empirical coefficient of settlement calculation, which is determined by the district settlement observation data and experience.

Some fatigue data to date have shown not to be marginal enough for environmental fatigue [2-4].
Fatigue life was counted at the cycle numbers which were 25% load reduction from the first tension load [9].
Fatigue life of the solid data corrected for strain hardening by FEM (FEMafter in plot) are shown shorter than those of test data (FEMbefore).
KEPRI data produced by the domestic test rig have same trend with Japanese fatigue life data but longer fatigue life than Japanese.
But KEPRI data show so close to the solid triangle data of same material and test condition (CF8M unaged, 0.04 %/s, Japan).

To obtain much more reliable information it has been necessary to compare the data from each dwelling with the average data of the pair to which it belongs.
After data processing, they are sent to feedback the users through the EnergyTic web-based interface.
Table 1: Data analyzed pre and post-retroffiting.  
These data will come out from the logical processor as graphs, compare savings and CO2 emissions.
Domínguez Methodology of the data processing with ICT solutions for the evaluation of the energy and water savings.

These data show that Ti/(Ru,Ir,La)Ox oxide electrode exhibits considerably high voltammetric charges, apparent current density and low onset potential for the ClER and OER.
It can be seen that crystalline diffractional peaks is identified according to the powder diffraction data contained in the JCPDS.
Hou et al. observed that the introduction of small amounts of La into supported Ni-B amorphous alloy produced by the chemical reduction method resulted in a higher crystallization temperature[10].
The XRD data reveals that the electrode exists in the major formation of amorphous phase as a consequence of the addition of La into Ti/(Ru,Ir)Ox oxide electrode The amorphous phase is believed to play an important role in improving apparent electrocatalytic activity.

The Appropriate selection of the element type will reduce the amount of input data and computation time.
It has played the vital role on enhancing the improvement design of pump's structure dynamic performance,noise reduction and so on [9].
Fig. 1 Entity unit modeling Fig. 2 Entity unit modeling Fig. 3 Entity unit modeling of first-order vibration of second-order vibration of third-order vibration Fig. 4 Beam unit modeling Fig. 5 Beam unit modeling Fig. 6 Beam unit modeling of first-order vibration of second-order vibration of third -order vibration Data Analysis.
The reasonable choice of unit type may reduce the quantity of input data and the time of computing

Data Preprocessing Running causes strong motion interference in the EIP signal.
(2) The data-processed EIP and ACC waveforms centralized processing to determine from Eq.2, which is the set of .
(3) Formulate a column vector for each time-sampled data point of the wiener filter model as in Eq.4
Fig.5 The simulation data experimental result To quantitatively compare two methods between Matt Banet [4] and our method, 10 sets of simulated data are used.
Measurement Data At last, we choose one segment data of one motion manner.

Based on CT data and under the maximal load during a normal walking cycle, 3D finite element analysis (FEA) was carried out to analyze the stress of bone around the new implant in three cases of distally truncated femur at high-position、middle-position and low-position.
Part 2, a silicon rubber 2 3 1(A) 1(B) 1(C) Fig. 1 Cutaway view of multi-part implant Fig. 2 One section of CT scan data of femur a b c d (a,c: front view b,d: side view) Fig. 3 Precise and simplified 3D CAD model of femur circle serves as cushion to reduce impact.
CT scan data of human femur was obtained from a 24 old female.
Precise 3D CAD model (Fig. 3a,b) of femur was constructed by input of the contour information of CT data.
The model of femur constructed by setting CT-data based models as prototype with preserved important features, and the maximal load during a normal walking cycle, and the consideration of different truncated position, contribute to the improvement the accuracy of the result.

AE accumulated energy was discussed based on the AE data.
DAQ system were triggered with the +12V voltage to synchronously record the data when the test started, as shown in Fig.2.
The curves showing the AE data vs. cycles were plotted in Fig.5 and Fig.6.
For the specimens fatigued at 83% loading level (as shown in Fig.5), AE data could be derived in two regions:(i) a Burn-in phase and (ii) a steady-state phase.
(2) AE energy was discussed based on the AE data.

The data of performed calculation are closely approximated to the full-scale measurements.
In the years to follow the program has been supplemented by the data taking into account peculiarities of developing the heaving deformations in the mutually perpendicular directions.
The data of performed calculation are quite near to the full-scale measurements for the deep-laid stations of Saint Petersburg (Fig. 4).
It is possible to minimize the influence of defrosting deformations on the buildings and structures having the data of preliminary calculations of the forecasted settlements by resorting, first of all, to strengthening them.
Geotechnical Engineering for Disaster Prevention and Reduction, pp. 122–127.

It is found that the results obtained from the proposed technique are in good agreement with the experimental data.
Even though the accelerated creep test can be an option, it is not usually useful as the rupture and damage mechanism change from short-term to long-term creep time, making the accelerated creep data less accurate for long-term prediction [1].
The reduction of ductility is modelled following Fehmi‘s relation of: εfMG=fεc=εfMGmax+εfMGminεmε-α'εmε-α'+1 (5) Furthermore, the effect of geometrical constraint (due to the notch) on ductility was modelled using the following relation: εo*=B’ ho*-b’ (6) Note that Eq. 6 was derived from the average value of the ductility-triaxiality relationship given by various void growth models.
An exception is for few points at high stress level or shorter creep life in which the data falls outside the bound lines.
FE prediction against experimental data of creep rupture life.