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Monte Carlo Simulations With Novel Sampling Variance Reduction Schemes For Structural Reliability Estimation
The work reported in this thesis is in the area of computational structural reliability modelling. The primary focus of the study is on the estimation of structural reliability using Monte Carlo simulations with sampling ...
Developing Frameworks for Evaluating Sustainable Transportation Measures in terms of Quality of Life
The transportation system is one of the main pillars impacting Quality of Life (QOL) as it fulfills people's basic needs by providing access to daily activities. Rapid urbanization, with more people migrating to urban areas ...
Identifying and Disentangling Different Sources of Variability in Travel Choice Models
Random utility maximization (RUM)-based discrete choice models are widely used for analyzing individual choice behaviour across diverse fields, including transportation, economics, market research, healthcare, and environmental ...
Liquefaction response of the sand reinforced with 3D printed geocells
Geocells are one of the most widely used geosynthetics, owing to their three-dimensional interconnected cellular structure that allows immediate support to heavy loads and provides high lateral confinement and wider ...
Impact of Groundwater Level Fluctuations on In-Situ Soil Properties using Automated Wave Detection Methods
Understanding the impact of groundwater level fluctuations on soil properties is crucial in geotechnical engineering, as it influences soil strength, stiffness, and stability. Dynamic soil properties such as Poisson's ...
Application of Finite Element Limit Analysis and Other Means to Deal with Problems Involving Foundations and Excavations
The finite elements limit analysis (FELA) is an important tool to solve any stability problem in geomechanics. This method provides lower and upper bounds on the true solution for a material following an associated flow ...
Assimilation of near-surface soil temperature and soil moisture in an unsaturated flow model: State and parameter estimation using synthetic and field experiments
Soil moisture is a key variable governing land surface hydrology, agricultural productivity, and climate dynamics, influencing crucial processes such as evapotranspiration, infiltration, and surface runoff. Accurate ...
New Approaches to Estimate Probable Maximum Precipitation Under Stationary and Non-Stationary Climate
Probable maximum precipitation (PMP) estimation has significance, as floods triggered by PMP are widely used for risk analysis of critical infrastructures (e.g., large dams and nuclear power plants), whose failure could ...
Aggregate and Disaggregate-level Models of Public Transit Ridership in Bengaluru, India
Ridership forecasting models are valuable tools for public transit agencies to assess and
quantify the possible impacts of their operational strategies and service improvements on transit
demand and revenue. Although ...
Exploring Hydrological Processes, Modeling Decisions, and Deep Learning for Improved Hydrologic Assessment
Hydrological modeling is complicated by the intricate challenges and uncertainties associated with understanding hydrological processes. This thesis aims at answering some of the key research questions related to ...

