Resilient Properties of Colorado Soils PDF Download
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Author: Shan-Tai Yeh Publisher: ISBN: Category : Pavements Languages : en Pages : 84
Book Description
During the past 30 years, pavement engineers have increasingly used the elastic layered system theory to predict the physical response of pavement structures in order to determine a proper pavement thickness. The 1986 AASHTO Guide for Design of Pavement Structures has adopted resilient properties in its pavement design. The committee for this Guide recognized that many state highway agencies do not have the proper equipment to determine the resilient modulus. In the Design Guide, correlation of the resilient modulus with the California bearing ratio and the R-value are given. However, these correlations are general in nature and can be used temporarily and only for certain types of soils. The committee has recommended that states develop their own correlations. During this research study, attempts were made to find a correlation between the resilient modulus and the R-value for Colorado soils. To accomplish this task, an extensive laboratory testing program was conducted and the following correlation was established: resilient modulus equals 3500 plus 125 times the R-value. Based on the results of this study, this correlation was established for Colorado soils. Verification of this correlation by additional tests on high quality subgrade (i.e., A-1-b or better) will be needed. After verification, attempts will be made to incorporate this finding in the current CDOH Pavement Design Procedures.
Author: Shan-Tai Yeh Publisher: ISBN: Category : Pavements Languages : en Pages : 84
Book Description
During the past 30 years, pavement engineers have increasingly used the elastic layered system theory to predict the physical response of pavement structures in order to determine a proper pavement thickness. The 1986 AASHTO Guide for Design of Pavement Structures has adopted resilient properties in its pavement design. The committee for this Guide recognized that many state highway agencies do not have the proper equipment to determine the resilient modulus. In the Design Guide, correlation of the resilient modulus with the California bearing ratio and the R-value are given. However, these correlations are general in nature and can be used temporarily and only for certain types of soils. The committee has recommended that states develop their own correlations. During this research study, attempts were made to find a correlation between the resilient modulus and the R-value for Colorado soils. To accomplish this task, an extensive laboratory testing program was conducted and the following correlation was established: resilient modulus equals 3500 plus 125 times the R-value. Based on the results of this study, this correlation was established for Colorado soils. Verification of this correlation by additional tests on high quality subgrade (i.e., A-1-b or better) will be needed. After verification, attempts will be made to incorporate this finding in the current CDOH Pavement Design Procedures.
Author: Cara Leigh Fragomeni Publisher: ISBN: Category : Bridges Languages : en Pages : 94
Book Description
Proper structural design of pavement systems requires knowing the resilient modulus of the soil as this parameter is a proven predictor of the stress-dependent elastic modulus of soil materials under traffic loading. In addition, the R-value test is conducted using a device called a stabilometer, where the material's resistance to deformation is expressed as a function of the ratio of the transmitted lateral pressure to that of the applied vertical pressure. Both tests are expensive and time consuming; however, establishing accurate and reliable correlations between the test results and the soil's physical properties, in lieu of laboratory testing, can save a considerable amount of time and money in the analysis and quality control process. For these reasons, correlations are typically used for estimating the resilient modulus and R-value for soils. The variability of a given soil type in different regions and states requires developing modified and specific correlations for each state based on statistical analysis of the statewide soil data collected. The main goal of this research study was to develop correlations among R-value, Resilient modulus, and soil's basic properties for available AASHTO soil types in databases in Colorado.
Author: Erol Tutumluer Publisher: Springer Nature ISBN: 3030772306 Category : Science Languages : en Pages : 971
Book Description
This volume presents selected papers presented during the 4th International Conference on Transportation Geotechnics (ICTG). The papers address the geotechnical challenges in design, construction, maintenance, monitoring, and upgrading of roads, railways, airfields, and harbor facilities and other ground transportation infrastructure with the goal of providing safe, economic, environmental, reliable and sustainable infrastructures. This volume will be of interest to postgraduate students, academics, researchers, and consultants working in the field of civil and transport infrastructure.
Author: Shan-Tai Yeh
Author: Shan-Tai Yeh
Author: Andrew J. Suedkamp
Author: Cara Leigh Fragomeni
Author: United States. Bureau of Chemistry and Soils
Author: Nien-Yin Chang
Author: 
Author: James A. Crabb
Author: Lynn Seymour Larsen
Author: Erol Tutumluer
Author: United States. Soil Conservation Service