Method of Estimating the Foundation Settlement under Different Working Conditions through Settlement Measurement

2015 ◽  
Vol 744-746 ◽  
pp. 527-530
Author(s):  
Ai Min Liu ◽  
Ai Jun ZhuGe
Keyword(s):  
Working Conditions ◽  
Curve Fitting ◽  
Back Analysis ◽  
Foundation Settlement ◽  
Analysis Method ◽  
Large Area ◽  
Soft Foundation ◽  
Fitting Method ◽  
Service Load ◽  
Curve Fitting Method

In the large-area soft foundation reinforcement project, the loading process is relatively complicated and the preloading load is not consistent with the service load in most cases; thus the conventional settlement curve fitting method cannot nicely predict the post-construction settlement of foundation under the service load. The back analysis method can be used to obtain the calculation parameters, so the settlement and consolidation conditions under various different loads at different time can be calculated and the foundation settlement hereby can be estimated exactly.

scholarly journals Theoretical and experimental study of scour depth by submerged water jet

2016 ◽  
Vol 8 (12) ◽  
pp. 168781401668239 ◽  
Author(s):  
Jiaoyi Hou ◽  
Lishan Zhang ◽  
Yongjun Gong ◽  
Dayong Ning ◽  
Zengmeng Zhang
Keyword(s):  
Mathematical Model ◽  
Experimental Study ◽  
Working Conditions ◽  
Curve Fitting ◽  
Functional Relationship ◽  
Water Jet ◽  
Scour Depth ◽  
Experiment Data ◽  
Fitting Method ◽  
Curve Fitting Method

The characteristics and working principles of the impinging by submerged water jet are analyzed, and the relevant mathematical model is optimized based on Rajaratnam’s theoretical and experimental study. A new mathematical model is constructed by adding an important parameter called impinging angle. A new experiment is designed according to the working conditions of various impinging distances and angles. In combination with the experiment data and with the use of the curve fitting method, the functional relationship between the impinging distance and angle as well as the coefficient C4 is obtained. The experiment results show that the scour depth decreases as impinging distance increases, followed by a trend from decline to rise before falling again; those two turning points occur within the range of 20d–25d. The scour depth constantly increases with rising impinging angle, and the maximum and minimum increasing ranges can reach 180% and 50%, respectively, with the impinging angle increasing from 40° to 90°.

Using A Segmented Voltage Sweep Mode and A Gaussian Curve Fitting Method to Improve Heavy Metal Measurement System Performance

2012 ◽  
Vol 19 (2) ◽  
pp. 381-394
Author(s):  
José Pereira ◽  
Octavian Postolache ◽  
Pedro Girão
Keyword(s):  
Heavy Metals ◽  
Heavy Metal ◽  
Measurement System ◽  
Curve Fitting ◽  
System Performance ◽  
Redox Potentials ◽  
Voltage Sweep ◽  
Gaussian Curve ◽  
Fitting Method ◽  
Curve Fitting Method

Using A Segmented Voltage Sweep Mode and A Gaussian Curve Fitting Method to Improve Heavy Metal Measurement System PerformanceThis paper presents a voltammetric segmented voltage sweep mode that can be used to identify and measure heavy metals' concentrations. The proposed sweep mode covers a set of voltage ranges that are centered around the redox potentials of the metals that are under analysis. The heavy metal measurement system can take advantage of the historical database of measurements to identify the metals with higher concentrations in a given geographical area, and perform a segmented sweep around predefined voltage ranges or, alternatively, the system can perform a fast linear voltage sweep to identify the voltammetric current peaks and then perform a segmented voltage sweep around the set of voltages that are associated with the voltammetric current peaks. The paper also includes the presentation of two auto-calibration modes that can be used to improve system's reliability and proposes the usage of a Gaussian curve fitting of voltammetric data to identify heavy metals and to evaluate their concentrations. Several simulation and experimental results, that validate the theoretical expectations, are also presented in the paper.

An additional branch free algebraic B-spline curve fitting method

2010 ◽  
Vol 26 (6-8) ◽  
pp. 801-811 ◽  
Author(s):  
Mingxiao Hu ◽  
Jieqing Feng ◽  
Jianmin Zheng
Keyword(s):  
Curve Fitting ◽  
B Spline ◽  
Spline Curve ◽  
Fitting Method ◽  
Additional Branch ◽  
Curve Fitting Method

Evaluation of a predictive curve-fitting method for processing data from flow systems

1993 ◽  
Vol 272 (1) ◽  
pp. 125-134 ◽  
Author(s):  
James M. Jordan ◽  
Michael D. Love ◽  
Harry L. Pardue
Keyword(s):  
Curve Fitting ◽  
Processing Data ◽  
Fitting Method ◽  
Flow Systems ◽  
Curve Fitting Method

A Curve Fitting Method for Detecting Valve Stiction in Oscillating Control Loops

2007 ◽  
Vol 46 (13) ◽  
pp. 4549-4560 ◽  
Author(s):  
Q. Peter He ◽  
Jin Wang ◽  
Martin Pottmann ◽  
S. Joe Qin
Keyword(s):  
Curve Fitting ◽  
Control Loops ◽  
Fitting Method ◽  
Valve Stiction ◽  
Curve Fitting Method

scholarly journals A Fast Haar Classifier based Gesture Recognition using camShift algorithm and Curve Fitting Method

2012 ◽  
pp. 295-299
Author(s):  
Bhavish Sushiel Agarwal ◽  
Jyoti R Desai ◽  
Snehanshu Saha
Keyword(s):  
Human Computer Interaction ◽  
Gesture Recognition ◽  
Curve Fitting ◽  
Lead Point ◽  
Hand Gestures ◽  
Curve Fit ◽  
Camshift Algorithm ◽  
Fitting Method ◽  
Wide Range ◽  
Curve Fitting Method

The use of hand gestures opens a wide range of application for human computer interaction. The paper makes use of haar classifiers and camShift algorithm to track the movement of hand. Parallelism is introduced at every step by segmenting the data from camshaft into an NxN grid. Every block of the grid now represents a lead point which is calculated from mean of all the points belonging to the particular grid. Now we have only N2 points to recognize the curve that was performed by the user in his action. Finally the fit that was found is compared to pre-defined curve fit data to find out the curve using Mahalanobis equation. Parallelism used in reducing the number of points to be fitted allows the recognition to be faster.

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