Title page for ETD etd-12102000-210030
|Type of Document
|Author's Email Address
||Designing Operations of Geocomposite
membrane Installation in Flexible Pavements
||Master of Science
|Martinez, Julio C.
|Al-Qadi, Imadeddin L.
|de la Garza, Jesus M.
|Wilkes, John A.
- New Technologies
- Geocomposite Membrane
|Date of Defense
Due to technological innovations new materials are introduced to the construction
industry from time to time and need to be installed properly by contractors. Based on
their past experience, the contractors have some ideas on how to carry out the operation.
However, those ideas are just a good starting point. In order to attain an efficient and
productive operation, many issues need to be considered and clarified. To design a new
construction operation, the designer needs to completely understand the processes,
consider all relevant issues, and review all governing criteria. Achieving practical and
productive operations for new technologies requires careful and thorough planning.
Simulation modeling can be a very effective technique to design construction operations
for new technologies. Simulation modeling allows experimenting with many of the
factors involved in the operations prior to initial construction. Early construction
sequencing can allow testing of many alternatives without expensive installations.
Geosynthetics are currently being incorporated in flexible pavement systems to
improve their performance. However, geosynthetics must be used in the correct
application and installed properly in order to produce good results. One of the newly
developed geosynthetics is geocomposite membrane that thought to provide strain energy
absorption and a moisture barrier. This research discusses the application of discrete-event
simulation (DES) to design and analyze the installation of geocomposite
membranes in flexible pavements. Data collected from two test sections at the Virginia
Smart Road in Blacksburg, Virginia was used for modeling and analysis.
STROBOSCOPE, a programming language designed for modeling complex operations,
was used as the simulation engine. The process used in the development of simulation
models is discussed. A number of installation alternatives were studied and simulated to
examine their practicality and to investigate their productivity, resource utilization, and
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