Reliability based optimal design of domestic sewer networks

dc.contributor.advisorMahar, P.S.
dc.contributor.authorRawat, Manisha
dc.date.accessioned2023-01-26T05:26:47Z
dc.date.available2023-01-26T05:26:47Z
dc.date.issued2022-09
dc.description.abstractA sewerage system is made up of a network of sewage pumping stations, manholes, and sewer pipes. Different types of sewers like house sewers, lateral sewers, branch sewers and trunk sewers carry sewage from individual residences to the sewage treatment plant. Along the sewer system, manholes are provided for maintenance, cleaning, and repair work. The main objective of this study is to build a linear optimization model for design of gravity-fed sewerage systems to dispose domestic wastewater utilizing the Darcy-Weisbach equation. The developed optimization model minimizes the total cost of the gravity-fed sewer line that meets the minimum and maximum velocity requirements to serve the desired population. Further, the viscosity of the sewage is taken in to account in the developed model. The output from the model is the pipe sizes and slopes of the lateral sewers and trunk sewer. The developed linear optimization model is applied to the Zone L phase I sewer network of Dehradun city. The total number of variables and links are 5868 and 652, respectively. Reliability of the optimally designed gravity-fed sewer network is calculated for trunk line by using first order analysis of uncertainties. Relation between risk and coefficient of variation for mean loading rate is also studied.en_US
dc.identifier.urihttps://krishikosh.egranth.ac.in/handle/1/5810192788
dc.keywordsDarcy-Weisbach equation, sewerageen_US
dc.language.isoEnglishen_US
dc.pages112en_US
dc.publisherG.B. Pant University of Agriculture and Technology, Pantnagar, District Udham Singh Nagar, Uttarakhand. PIN - 263145en_US
dc.research.problemDarcy-Weisbach equationen_US
dc.subCivil Engineeringen_US
dc.themeSewerageen_US
dc.these.typeM.Tech.en_US
dc.titleReliability based optimal design of domestic sewer networksen_US
dc.typeThesisen_US
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