The design of service connections to deeply buried sewers involves a number of challenges. In practice, the loads that develop from vertical risers can damage the Tee or Wye fitting to which it is connected. This thesis studies the expected loads and resistance of these connections, and provides some recommendations for the solution of this engineering problem. Laboratory tests have been performed to explore the capacities of the existing fittings both in air and when buried in uniform sand. A test procedure different from the standard quality control test methods described in ASTM F1336-02 is used to study the performance of the fittings in air. A special test configuration was also developed for an existing pipe test cell to explore the capacities of the existing PVC Tee and Wye fittings when buried in uniform sand. An analytical formula analogous to pile downdrag and numerical analyses have been used to evaluate the test results, to calculate the capacities of the buried heavy-wall fittings, and to explore the downdrag forces that develop along vertical risers. Through comparisons with experimental measurements, it was demonstrated that these methods of analysis can be used to estimate the downdrag forces and determine the adequacy of specific fittings to resist those forces. The major conclusions drawn for the specific fittings tested in this project are summarized as follows. When axially loaded in air, both Tee and Wye fittings experience plastic yield failure. When buried, the Tee fitting fractures or yields only along the base of the riser part; while the Wye fitting itself does not fail, the riser cracks near its base where it connects to the curved pipe (450 elbow) above the Wye. Both the capacities and stiffness of the buried fitting system (either Tee or Wye) are approximately linear functions of the confining stress supplied by the surrounding soil. The accumulated downdrag along the riser in the coarse-grained soil is much smaller than that in fine-grained soil. Various practical solutions for the vertical riser problem are then discussed and recommended. / Thesis (Ph.D, Civil Engineering) -- Queen's University, 2008-12-28 21:18:30.363

The fundamental purpose of drinking water distribution systems is to provide safe drinking water at sufficient volumes and optimal pressure with the lowest lifecycle costs from the source (treatment plants, raw water source) to the customers (residences, industries). Most of the distribution systems in the US were laid out during the development phase after World War II. As the drinking water infrastructure is aging, water utilities are battling the increasing break rates in their water distribution system and struggling to bear the associated economic costs. However, with the growth in sensory technologies and data science, water utilities are seeing economic value in collecting data and analyzing it to monitor and predict the performance of their distribution systems. Many mathematical models have been developed to guide repair and rehabilitation decisions in the past but remain largely unused because of low reliability. This is because any effort to build a decision support framework based on a model should rest its foundations on a robust knowledge base of the critical factors influencing the system, which varies from utility to utility. Mathematical models built on a strong understanding of the theory, current practices and the trends in data can prove to be more reliable. This study presents a framework to support repair and rehabilitation decisions for water utilities using water pipeline field performance data. / Master of Science / The fundamental purpose of drinking water distribution systems is to provide a safe and sufficient volume of drinking water at optimal pressure with the lowest costs to the water utilities. Most of the distribution systems in the US were established during the development phase after World War II. The problem of aging drinking water infrastructure is an increasing financial burden on water utilities due to increasing water main breaks. The growth in data collection by water utilities has proven to be a useful tool to monitor and predict the performance of the water distribution systems and support asset management decisions. However, the mathematical models developed in the past suffer from low reliability due to limited data used to create models. Also, any effort to build sophisticated mathematical models should be supported with a comprehensive review of the existing recommendations from research and current practices. This study presents a framework to support repair and rehabilitation decisions for water utilities using water pipeline field performance data.