Backcalculation of Permanent Deformation Parameters Using Time Series Rut Data from In-Service Pavements

2006 ◽  
Vol 1949 (1) ◽  
pp. 98-109 ◽  
Author(s):  
Hassan K. Salama ◽  
Karim Chatti ◽  
Syed Waqar Haider
Keyword(s):  
Time Series ◽  
Permanent Deformation ◽  
Deformation Parameters

Using Transverse Profile Data to Compute Plastic Deformation Parameters for Asphalt Concrete Pavements

2000 ◽  
Vol 1716 (1) ◽  
pp. 89-97 ◽  
Author(s):  
Hesham A. Ali ◽  
Shiraz D. Tayabji
Keyword(s):  
Plastic Deformation ◽  
Prediction Models ◽  
Time Series Data ◽  
Permanent Deformation ◽  
Extended Period ◽  
Series Data ◽  
Profile Data ◽  
Actual Performance ◽  
Deformation Parameters ◽  
Transverse Profile

Previous studies have shown that the performance of in-service pavements may deviate significantly from that predicted by use of laboratory-calibrated performance models. Therefore calibration of performance prediction models with data from in-service pavements is important. Calibration of mechanistic rutting models by use of transverse profile data is explored. A well-known family of mechanistic rutting prediction models uses plastic deformation parameters [slope of elastic or plastic strain (or both) and load hardening factor] for quantification of the amount of permanent deformation resulting from each load application. For the purpose of obtaining these parameters, two traditional methods have been used: repeated load testing in the laboratory and calibration by use of time-series data from in-service pavements. Although the first suffers from the lack of compatibility between laboratory-predicted and actual performance, the second requires collection of field data for an extended period of time (years of monitoring) and may be interrupted by rehabilitation activities. The transverse profile contains valuable information that can be used for determining the contribution of each pavement layer to the observed rutting and the plastic deformation parameters. Transverse profile data were used for calibration of rutting prediction models. The stability and sensitivity of the computed parameters were also investigated.

scholarly journals Evaluation of Permanent Deformation of Unmodified and Rubber-Reinforced SMA Asphalt Mixtures Using Dynamic Creep Test

2015 ◽  
Vol 2015 ◽  
pp. 1-11 ◽  
Author(s):  
Herda Yati Katman ◽  
Mohd Rasdan Ibrahim ◽  
Mohamed Rehan Karim ◽  
Nuha Salim Mashaan ◽  
Suhana Koting
Keyword(s):  
Creep Test ◽  
Creep Behaviour ◽  
Permanent Deformation ◽  
High Stress ◽  
Crumb Rubber ◽  
Asphalt Mixtures ◽  
Creep Model ◽  
Deformation Parameters ◽  
Dynamic Creep ◽  
C 50

This paper presents the evaluation of permanent deformation of rubber-reinforced SMA asphalt mixtures by using dynamic creep test. The effect of trans-polyoctenamer as a cross-linking agent in permanent deformation of rubberized mixtures was also evaluated. Dynamic creep test was conducted at different stress levels (200 kPa, 400 kPa) and temperatures (40°C, 50°C). Permanent deformation parameters such as dynamic creep curve, ultimate strain, and creep strain slope (CSS) were used to analyse the results. Finally, the creep behaviour of the specimens was estimated by the Zhou three-stage creep model. The results show that crumb rubber and trans-polyoctenamer significantly affected the parameters especially at high stress and temperatures. Consistent findings were observed for all permanent deformation parameters. Moreover, based on Zhou model, it was concluded that resistance to permanent deformation was improved by application of crumb rubber and trans-polyoctenamer.

scholarly journals Surface Deformation Monitoring in Zhengzhou City from 2014 to 2016 Using Time-Series InSAR

2018 ◽  
Vol 10 (11) ◽  
pp. 1731 ◽  
Author(s):  
Zhengjia Zhang ◽  
Chao Wang ◽  
Mengmeng Wang ◽  
Ziwei Wang ◽  
Hong Zhang
Keyword(s):  
Time Series ◽  
Surface Deformation ◽  
Ground Deformation ◽  
Urban Expansion ◽  
Correction Method ◽  
Deformation Monitoring ◽  
Ground Subsidence ◽  
Significant Information ◽  
Persistent Scatterers ◽  
Deformation Parameters

In recent years, with the development of urban expansion in Zhengzhou city, the underground resources, such as underground water and coal mining, have been exploited greatly, which have resulted in ground subsidence and several environmental issues. In order to study the spatial distribution and temporal changes of ground subsidence of Zhengzhou city, the Interferometric Synthetic Aperture Radar (InSAR) time series analysis technique combining persistent scatterers (PSs) and distributed scatterers (DSs) was proposed and applied. In particular, the orbit and topographic related atmospheric phase errors have been corrected by a phase ramp correction method. Furthermore, the deformation parameters of PSs and DSs are retrieved based on a layered strategy. The deformation and DEM error of PSs are first estimated using conventional PSI method. Then the deformation parameters of DSs are retrieved using an adaptive searching window based on the initial results of PSs. Experimental results show that ground deformation of the study area could be retrieved by the proposed method and the ground deformation is widespread and unevenly distributed with large differences. The deformation rate ranges from −55 to 10 mm/year, and the standard deviation of the results is about 8 mm/year. The observed InSAR results reveal that most of the subsidence areas are in the north and northeast of Zhengzhou city. Furthermore, it is found that the possible factors resulting in the ground subsidence include sediment consolidation, water exploitation, and urban expansion. The result could provide significant information to serve the land subsidence mitigation in Zhengzhou city.

Build seismic cycle balance deformation with InSAR in Northen Chile

2020 ◽  
Author(s):  
Lauriane Bayle ◽  
Romain Jolivet ◽  
Nadaya Cubas ◽  
Laetitia Le Pourhiet
Keyword(s):  
Time Series ◽  
Subduction Zones ◽  
Permanent Deformation ◽  
Seismic Cycle ◽  
Seismic Displacement ◽  
Uplift Rates ◽  
Short And Long Term ◽  
Period Data ◽  
Illapel Earthquake

<p>Lauriane Baylé (1), Romain Jolivet (2), Nadaya Cubas (1) and Laetitia Le</p><p>Pourhiet (1)</p><p>(1) Institut des Sciences de la Terre de Paris, UMR 7193, UPMC UniversitéParis 6, CNRS, Paris,</p><p>France</p><p>(2) Laboratoire de Géologie, Département de Géosciences, École Normale Supérieure, CNRS UMR 8538,</p><p>PSL ResearchUniversity, Paris, France</p><p>Recent studies have pointed out to a discrepancy between the short- and long-</p><p>term deformation of overriding plates in subduction zones. This led to debates</p><p>about when and how permanent deformation is acquired. This contradiction</p><p>has notably been observed along the Central Andes Subduction Zone, where</p><p>the coast subsides during and shortly after major earthquakes while a coastal</p><p>uplift with rates ranging between 0.1 and 0.3 mm/yr has been inferred the</p><p>last 4000 ky. For instance, during the 15th September 2015 Mw 8.3 Illapel</p><p>earthquake the geodetics (GPS and InSAR) data show a coastal subsidence</p><p>along the line-of-sight of 20 cm in InSAR.</p><p>To reconcile the seemingly contradictory observations, we here propose to</p><p>provide a seismic cycle uplift balance by constrainning inter-, co- and post-</p><p>seismic vertical velocities from InSAR time series. The study focuses on La</p><p>Serena peninsula (71.3°W, 30°S, Chile) along which the Illapel earthquake</p><p>occurred and for which long-term uplift rates have been provided by previous</p><p>geomorphological studies.</p><p>To build this seismic cycle balance, we use InSAR data (Sentinel-1) acqui-</p><p>red between the September 15, 2015 and January 19, 2019. The time series</p><p>for the ascendant orbite is calculated and the accumulated vertical displace-</p><p>ment extracted providing co- and post-seismic displacement. The co-seismic</p><p>displacement are similar to those previously obtain. To constrain the displa-</p><p>cement during the inter-seismic period, data on both sides of the peninsula</p><p>are used. In that respect, we aim determining when, during the seismic cycle,</p><p>and where, along the coast, the uplift occurs.</p><p>The deduced time series will then be confronted to numerical modelling</p><p>to provide the short- and long-term mechanics reproducing the short- and</p><p>long-term observations.</p>

Permanent deformation parameters of fine – grained tropical soils

2018 ◽  
Vol 20 (7) ◽  
pp. 1664-1681 ◽  
Author(s):  
Antonio Carlos Rodrigues Guimarães ◽  
Laura Maria Goretti da Motta ◽  
Carmen Dias Castro
Keyword(s):  
Permanent Deformation ◽  
Tropical Soils ◽  
Fine Grained ◽  
Deformation Parameters

scholarly journals Inverse Parametric Analysis of Seismic Permanent Deformation for Earth-Rockfill Dams Using Artificial Neural Networks

2012 ◽  
Vol 2012 ◽  
pp. 1-19 ◽  
Author(s):  
Xu Wang ◽  
Fei Kang ◽  
Junjie Li ◽  
Xin Wang
Keyword(s):  
Neural Networks ◽  
Artificial Neural Networks ◽  
Parameter Identification ◽  
Permanent Deformation ◽  
Three Dimensional ◽  
Analysis Model ◽  
Neural Network Models ◽  
Bp Network ◽  
Deformation Parameters ◽  
Artificial Neural

This paper investigates the potential application of artificial neural networks in permanent deformation parameter identification for rockfill dams. Two kinds of neural network models, multilayer feedforward network (BP) and radial basis function (RBF) networks, are adopted to identify the parameters of seismic permanent deformation for Zipingpu Dam in China. The dynamic analysis is carried out by three-dimensional finite element method, and earthquake-induced permanent deformation is calculated by an equivalent nodal force method. Based on the sensitivity analysis of permanent deformation parameters, an objective function for network training is established by considering parameter sensitivity, which can improve the accuracy of parameter identification. By comparison, it is found that RBF outperforms the BP network in this problem. The proposed inverse analysis model for earth-rockfill dams can identify the seismic deformation parameters with just a small amount of sample designs, and much calculation time can be saved by this method.

The LDE-Type Flare Occurrence (1969-1993)

1994 ◽  
Vol 144 ◽  
pp. 279-282
Author(s):  
A. Antalová
Keyword(s):  
Time Series ◽  
Fourier Analysis ◽  
Sunspot Cycle ◽  
List Type ◽  
Type Number ◽  
Solar Cycles ◽  
Type Iv ◽  
Long Duration ◽  
Cycle Maximum ◽  
Flare Index

AbstractThe occurrence of LDE-type flares in the last three cycles has been investigated. The Fourier analysis spectrum was calculated for the time series of the LDE-type flare occurrence during the 20-th, the 21-st and the rising part of the 22-nd cycle. LDE-type flares (Long Duration Events in SXR) are associated with the interplanetary protons (SEP and STIP as well), energized coronal archs and radio type IV emission. Generally, in all the cycles considered, LDE-type flares mainly originated during a 6-year interval of the respective cycle (2 years before and 4 years after the sunspot cycle maximum). The following significant periodicities were found:• in the 20-th cycle: 1.4, 2.1, 2.9, 4.0, 10.7 and 54.2 of month,• in the 21-st cycle: 1.2, 1.6, 2.8, 4.9, 7.8 and 44.5 of month,• in the 22-nd cycle, till March 1992: 1.4, 1.8, 2.4, 7.2, 8.7, 11.8 and 29.1 of month,• in all interval (1969-1992):a)the longer periodicities: 232.1, 121.1 (the dominant at 10.1 of year), 80.7, 61.9 and 25.6 of month,b)the shorter periodicities: 4.7, 5.0, 6.8, 7.9, 9.1, 15.8 and 20.4 of month.Fourier analysis of the LDE-type flare index (FI) yields significant peaks at 2.3 - 2.9 months and 4.2 - 4.9 months. These short periodicities correspond remarkably in the all three last solar cycles. The larger periodicities are different in respective cycles.

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