scholarly journals THE GEOGRAPHICAL STUDY OF AMENITIES AROUND PUNE-AHMEDNAGAR STATE HIGHWAY NUMBER 27

2022 ◽  
Vol 11 (1 (SPECIAL ISSUE)) ◽  
2012 ◽  
Vol 3 (8) ◽  
pp. 55-58
Author(s):  
K.K. Somashekara K.K. Somashekara ◽  
◽  
B.N. Shivalingappa B.N. Shivalingappa

2018 ◽  
Vol 31 (2) ◽  
pp. 126-142
Author(s):  
Uttam Kumar Roy ◽  
Md Mustaquim ◽  
Rajani Khatun

Author(s):  
Mark N. Landers ◽  
David S. Mueller

Field measurements of channel scour at bridges are needed to improve the understanding of scour processes and the ability to accurately predict scour depths. An extensive data base of pier-scour measurements has been developed over the last several years in cooperative studies between state highway departments, the Federal Highway Administration, and the U.S. Geological Survey. Selected scour processes and scour design equations are evaluated using 139 measurements of local scour in live-bed and clear-water conditions. Pier-scour measurements were made at 44 bridges around 90 bridge piers in 12 states. The influence of pier width on scour depth is linear in logarithmic space. The maximum observed ratio of pier width to scour depth is 2.1 for piers aligned to the flow. Flow depth and scour depth were found to have a relation that is linear in logarithmic space and that is not bounded by some critical ratio of flow depth to pier width. Comparisons of computed and observed scour depths indicate that none of the selected equations accurately estimate the depth of scour for all of the measured conditions. Some of the equations performed well as conservative design equations; however, they overpredict many observed scour depths by large amounts. Some equations fit the data well for observed scour depths less than about 3 m (9.8 ft), but significantly underpredict larger observed scour depths.


Author(s):  
Laura Camarena

The Mechanistic–Empirical Pavement Design Guide (MEPDG) considers a hierarchical approach to determine the input values necessary for most design parameters. Level 1 requires site-specific measurement of the material properties from laboratory testing, whereas other levels make use of equations developed from regression models to estimate the material properties. Resilient modulus is a mechanical property that characterizes the unbound and subgrade materials under loading that is essential for the mechanistic design of pavements. The MEPDG resilient modulus model makes use of a three-parameter constitutive model to characterize the nonlinear behavior of the geomaterials. As the resilient modulus tests are complex, expensive, and require lengthy preparation time, most state highway agencies are unlikely to implement them as routine daily applications. Therefore, it is imperative to make use of models to calculate these nonlinear parameters. Existing models to determine these parameters are frequently based on linear regression. With the development of machine learning techniques, it is feasible to develop simpler equations that can be used to estimate the nonlinear parameters more accurately. This study makes use of the Long-Term Pavement Performance database and machine learning techniques to improve the equations utilized to determine the nonlinear parameters crucial to estimate the resilient modulus of unbound base and subgrade materials.


Area ◽  
2020 ◽  
Vol 52 (4) ◽  
pp. 820-823 ◽  
Author(s):  
Jacqueline Tivers
Keyword(s):  

2020 ◽  
pp. 239965442094675
Author(s):  
Yara Sa’di-Ibraheem

This article explores how urban settler-colonial landscapes are produced in the neoliberal era. Adopting an anti-colonial approach, the article addresses practices of landscape production through the history of Wadi Al-Salib in Haifa after the driving out of its inhabitants in 1948. A micro geographical study of three Palestinian refugees’ houses, sold by the state to private real estate companies during the last two decades, constitutes the empirical mainstay of the article. Located in Wadi Al-Salib where rapid neoliberal urban renewal schemes hope to raise property values and enact demographic change, these houses are often marketed to upper-class Israeli Jews as “authentic”. Such branding indicates that the privatization of the Palestinian refugees' houses may also signify privatization of the colonial imagination, and a broader shift of the landscape into a collage of marketable images, echoing an ‘aesthetic violence’ that evokes past colonial landscapes. Such references create several hyper-realities in the same place, thus canonizing colonial landscapes’ imaginaries.


1958 ◽  
Vol 124 (4) ◽  
pp. 461
Author(s):  
James Marshall-Cornwall ◽  
J. A. Steers ◽  
W. G. East ◽  
I. P. Gerasimov ◽  
R. A. French ◽  
...  

2003 ◽  
Vol 1855 (1) ◽  
pp. 176-182 ◽  
Author(s):  
Weng On Tam ◽  
Harold Von Quintus

Traffic data are a key element for the design and analysis of pavement structures. Automatic vehicle-classification and weigh-in-motion (WIM) data are collected by most state highway agencies for various purposes that include pavement design. Equivalent single-axle loads have had widespread use for pavement design. However, procedures being developed under NCHRP require the use of axle-load spectra. The Long-Term Pavement Performance database contains a wealth of traffic data and was selected to develop traffic defaults in support of NCHRP 1-37A as well as other mechanistic-empirical design procedures. Automated vehicle-classification data were used to develop defaults that account for the distribution of truck volumes by class. Analyses also were conducted to determine direction and lane-distribution factors. WIM data were used to develop defaults to account for the axle-weight distributions and number of axles per vehicle for each truck type. The results of these analyses led to the establishment of traffic defaults for use in mechanistic-empirical design procedures.


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