scholarly journals Mathematical Modeling for Lateral Displacement Induced by Wind Velocity Using Monitoring Data Obtained from Main Girder of Sutong Cable-Stayed Bridge

2014 ◽  
Vol 2014 ◽  
pp. 1-16
Author(s):  
Gao-Xin Wang ◽  
You-Liang Ding
Keyword(s):  
Time Series ◽  
Wind Velocity ◽  
Lateral Displacement ◽  
Third Order ◽  
Nonlinear Correlation ◽  
Cable Stayed Bridge ◽  
Spectrum Density ◽  
Combined Models ◽  
Main Girder ◽  
Correlation Term

Based on the health monitoring system installed on the main span of Sutong Cable-Stayed Bridge, GPS displacement and wind field are real-time monitored and analyzed. According to analytical results, apparent nonlinear correlation with certain discreteness exists between lateral static girder displacement and lateral static wind velocity; thus time series of lateral static girder displacement are decomposed into nonlinear correlation term and discreteness term, nonlinear correlation term of which is mathematically modeled by third-order Fourier series with intervention of lateral static wind velocity and discreteness term of which is mathematically modeled by the combined models of ARMA(7,4)and EGARCH(2,1). Additionally, stable power spectrum density exists in time series of lateral dynamic girder displacement, which can be well described by the fourth-order Gaussian series; thus time series of lateral dynamic girder displacement are mathematically modeled by harmonic superposition function. By comparison and verification between simulative and monitoring lateral girder displacements from September 1 to September 3, the presented mathematical models are effective to simulate time series of lateral girder displacement from main girder of Sutong Cable-Stayed Bridge.

Causes and control to lateral displacement of the main girder in the super-long-span cable-stayed bridge with transverse asymmetry dead load

Structures ◽  
2022 ◽  
Vol 37 ◽  
pp. 168-184
Author(s):  
Jinxiang Zhang ◽  
Mingjin Zhang ◽  
Xulei Jiang ◽  
Renan Yuan ◽  
Jisheng Yu ◽  
...  
Keyword(s):  
Lateral Displacement ◽  
Dead Load ◽  
Cable Stayed Bridge ◽  
Long Span ◽  
And Control ◽  
Main Girder

scholarly journals Meso- and microscale sea-ice motion in the East Siberian Sea as determined from ERS-1 SAR Data

1999 ◽  
Vol 45 (150) ◽  
pp. 370-383 ◽  
Author(s):  
Kim Morris ◽  
Shusun Li ◽  
Martin Jeffries
Keyword(s):  
Time Series ◽  
Sea Ice ◽  
Large Scale ◽  
Vector Fields ◽  
Lateral Displacement ◽  
Motion Vector ◽  
Sar Interferometry ◽  
East Siberian Sea ◽  
Pack Ice ◽  
Sar Data

Abstract Synthetic aperture radar- (SAR-)derived ice-motion vectors and SAR interferometry were used to study the sea-ice conditions in the region between the coast and 75° N (~ 560 km) in the East Siberian Sea in the vicinity of the Kolyma River. ERS-1 SAR data were acquired between 24 December 1993 and 30 March 1994 during the 3 day repeat Ice Phase of the satellite. The time series of the ice-motion vector fields revealed rapid (3 day) changes in the direction and displacement of the pack ice. Longer-term (≥ 1 month) trends also emerged which were related to changes in large-scale atmospheric circulation. On the basis of this time series, three sea-ice zones were identified: the near-shore, stationary-ice zone; a transitional-ice zone;and the pack-ice zone. Three 3 day interval and one 9 day interval interferometric sets (amplitude, correlation and phase diagrams) were generated for the end of December, the begining of February and mid-March. They revealed that the stationary-ice zone adjacent to the coast is in constant motion, primarily by lateral displacement, bending, tilting and rotation induced by atmospheric/oceanic forcing. The interferogram patterns change through time as the sea ice becomes thicker and a network of cracks becomes established in the ice cover. It was found that the major features in the interferograms were spatially correlated with sea-ice deformation features (cracks and ridges) and major discontinuities in ice thickness.

scholarly journals Case Study of Deep Learning Model of Temperature-Induced Deflection of a Cable-Stayed Bridge Driven by Data Knowledge

Symmetry ◽  
2021 ◽  
Vol 13 (12) ◽  
pp. 2293
Author(s):  
Zixiang Yue ◽  
Youliang Ding ◽  
Hanwei Zhao ◽  
Zhiwen Wang
Keyword(s):  
Neural Network ◽  
Machine Learning ◽  
Deep Learning ◽  
Prior Knowledge ◽  
Learning Model ◽  
Bridge Management ◽  
Learning Network ◽  
Cable Stayed Bridge ◽  
Main Girder ◽  
Deep Learning Model

A cable-stayed bridge is a typical symmetrical structure, and symmetry affects the deformation characteristics of such bridges. The main girder of a cable-stayed bridge will produce obvious deflection under the inducement of temperature. The regression model of temperature-induced deflection is hoped to provide a comparison value for bridge evaluation. Based on the temperature and deflection data obtained by the health monitoring system of a bridge, establishing the correlation model between temperature and temperature-induced deflection is meaningful. It is difficult to complete a high-quality model only by the girder temperature. The temperature features based on prior knowledge from the mechanical mechanism are used as the input information in this paper. At the same time, to strengthen the nonlinear ability of the model, this paper selects an independent recurrent neural network (IndRNN) for modeling. The deep learning neural network is compared with machine learning neural networks to prove the advancement of deep learning. When only the average temperature of the main girder is input, the calculation accuracy is not high regardless of whether the deep learning network or the machine learning network is used. When the temperature information extracted by the prior knowledge is input, the average error of IndRNN model is only 2.53%, less than those of BPNN model and traditional RNN. Combining knowledge with deep learning is undoubtedly the best modeling scheme. The deep learning model can provide a comparison value of bridge deformation for bridge management.

Aesthetic Design of Odawara Port Bridge

1996 ◽  
Vol 1549 (1) ◽  
pp. 108-113
Author(s):  
Tsuguo Oishi ◽  
Yasuo Inokuma
Keyword(s):  
Cross Section ◽  
Prestressed Concrete ◽  
Surrounding Area ◽  
Box Girder ◽  
Aesthetic Design ◽  
Cable Stayed Bridge ◽  
The World ◽  
Bridge Type ◽  
Main Girder ◽  
Tower Height

The Odawara Port Bridge is located at the mouth of Odawara Port. Selecting a bridge type that symbolized the entire project and blended well with the surrounding area was critical. To achieve this, an extra-dosed prestressed concrete box girder with a main span of 122 m was selected. Construction of this bridge type is the first in the world. Special characteristics of this bridge type are a lower tower height than that of a cable-stayed bridge, the use of a saddle at the top of the towers, and the incorporation of epoxy-coated strands for diagonal cables. The design of the various sections of the bridge was achieved by integrating the characteristic shape of the towers with cable profiles while establishing horizontal continuity with the main girder. As a result of the integration process, the following design objectives were adopted: (a) constant main girder depth; (b) inverted trapezoidal main girder cross section; (c) towers without a connecting beam at the top; (d) a fan-shaped saddle; (e) compact cable vibration dampers; (f) graded metallic coloring of cables; (g) integrated steel railing and road surface lighting; (h) nighttime bridge lighting, and (i) encased drainage pipes.

Multiscale Fractional Cumulative Residual Entropy of Higher-Order Moments for Estimating Uncertainty

2020 ◽  
Vol 19 (04) ◽  
pp. 2050038
Author(s):  
Keqiang Dong ◽  
Xiaofang Zhang
Keyword(s):  
Time Series ◽  
Logistic Map ◽  
Higher Order ◽  
Stationary Time Series ◽  
Residual Entropy ◽  
Third Order ◽  
Cumulative Residual Entropy ◽  
Cumulative Residual ◽  
Simulated Time ◽  
Analyze Time Series

The fractional cumulative residual entropy is not only a powerful tool for the analysis of complex system, but also a promising way to analyze time series. In this paper, we present an approach to measure the uncertainty of non-stationary time series named higher-order multiscale fractional cumulative residual entropy. We describe how fractional cumulative residual entropy may be calculated based on second-order, third-order, fourth-order statistical moments and multiscale method. The implementation of higher-order multiscale fractional cumulative residual entropy is illustrated with simulated time series generated by uniform distribution on [0, 1]. Finally, we present the application of higher-order multiscale fractional cumulative residual entropy in logistic map time series and stock markets time series, respectively.

WIND VELOCITY TIME SERIES ANALYSIS

2002 ◽  
Author(s):  
ANA M. TARQUIS ◽  
ROSA M. BENAVENTE ◽  
ANTONIO ROMERO ◽  
JOSÉ L. GARCÍA ◽  
PHILIPPE BAVEYE
Keyword(s):  
Time Series ◽  
Time Series Analysis ◽  
Wind Velocity ◽  
Series Analysis

Nonlinear Correlation Analysis of Time Series Based on Complex Network Similarity

2020 ◽  
Vol 30 (15) ◽  
pp. 2050225
Author(s):  
Chun-Xiao Nie
Keyword(s):  
Time Series ◽  
Correlation Analysis ◽  
Nearest Neighbor ◽  
Distance Matrix ◽  
Nonlinear Relationship ◽  
Nonlinear Correlation ◽  
Network Similarity ◽  
Level Of Significance ◽  
The Relationship ◽  
Analysis Of Time Series

Characterizing the relationship between time series is an important issue in many fields, in particular, in many cases there is a nonlinear correlation between series. This paper provides a new method to study the relationship between time series using the perspective of complex networks. This method converts a time series into a distance matrix and constructs a sequence of nearest neighbor networks, so that the nonlinear relationship between time series is expressed as similarity between networks. In addition, based on the surrogate series, we applied [Formula: see text]-score to characterize the level of significance and analyzed some benchmark models. We not only use the artificial dataset and the real dataset to verify the effectiveness of the proposed method, but also analyze its robustness, which provides an alternative method for detecting nonlinear relationships.

scholarly journals Univariate and multivariate properties of wind velocity time series

2009 ◽  
Vol 2009 (02) ◽  
pp. P02026 ◽  
Author(s):  
S Bivona ◽  
G Bonanno ◽  
R Burlon ◽  
D Gurrera ◽  
C Leone
Keyword(s):  
Time Series ◽  
Wind Velocity

Analysis on Reasonable Structure of Main Girder of Harp Shaped Cable-Stayed Bridge without Backstays

2011 ◽  
Vol 90-93 ◽  
pp. 1061-1068
Author(s):  
Ai Jun Chen ◽  
Guo Jing He
Keyword(s):  
Design Parameters ◽  
Bridge Design ◽  
Structure Selection ◽  
Cable Stayed Bridge ◽  
Design Philosophy ◽  
Section Design ◽  
Selection For ◽  
Main Girder ◽  
Cable Stayed Bridges

Harp shaped cable-stayed bridges without backstays are popular due to their beautiful and unique styles; they employ leaning tower columns to balance the constant and movable loads on the decks and are not provided with backstays, so they are beyond the traditional bridge design philosophy. In this paper, we discussed the reasonable structure of the main girder of Changsha Hongshan Bridge – a harp shaped cable-stayed bridge without backstays through changing the design parameters of the main girder in respect of design so as to provide important reference for design of this kind of bridges, and the research mainly related to such aspects as the structure selection for and section design of the main girder, the influence of overweight of main girder on the force on the structure, the length of non-cable area of the main girder, the span of auxiliary hole, etc.

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