Browsing Center for Computational Science and Engineering (CCSE) by Title
Now showing items 9-28 of 73
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CFD simulation of long slender offshore structures at high Reynolds number
(Massachusetts Institute of Technology, 2019)Slender cylindrical structures are common in many offshore engineering applications such as floating wind turbines and subsea risers. These structures are vulnerable to flow-induced vibrations under certain environmental ... -
Combining numerical simulation and machine learning - modeling coupled solid and fluid mechanics using mesh free methods
(Massachusetts Institute of Technology, 2020)The prediction and understanding of physical systems is largely divided into two camps, those based on data, and those based on the numerical models. These two approaches have long been developed independently of each ... -
A container-based lightweight fault tolerance framework for high performance computing workloads
(Massachusetts Institute of Technology, 2019)According to the latest world's top 500 supercomputers list, ~90% of the top High Performance Computing (HPC) systems are based on commodity hardware clusters, which are typically designed for performance rather than ... -
Continuous low-rank tensor decompositions, with applications to stochastic optimal control and data assimilation
(Massachusetts Institute of Technology, 2017)Optimal decision making under uncertainty is critical for control and optimization of complex systems. However, many techniques for solving problems such as stochastic optimal control and data assimilation encounter the ... -
Covariance estimation on matrix manifolds
(Massachusetts Institute of Technology, 2020)The estimation of covariance matrices is a fundamental problem in multivariate analysis and uncertainty quantification. Covariance matrices are an essential modeling tool in climatology, econometrics, model reduction, ... -
Design and optimization of shared mobility on demand : dynamic routing and dynamic pricing
(Massachusetts Institute of Technology, 2021)Mobility of people and goods has been critical to urban life ever since cities emerged thousands of years ago. With the ushering in Cyber-Physical Systems enabled by the development of smart mobile devices, telecommunication ... -
Development and assessment of a physics-based model for subcooled flow boiling with application to CFD
(Massachusetts Institute of Technology, 2020)Boiling is an extremely efficient mode of heat transfer and is the preferred heat removal mechanism in power systems in general and, more recently, in electronics cooling. Physics-based models that describe boiling heat ... -
Development of macroscopic nanoporous graphene membranes for gas separation
(Massachusetts Institute of Technology, 2017)Separating components of a gas from a mixture is a critical step in several important industrial processes including natural gas purification, hydrogen production, carbon dioxide sequestration, and oxy-combustion. For such ... -
Development of the random ray method of neutral particle transport for high-fidelity nuclear reactor simulation
(Massachusetts Institute of Technology, 2018)A central goal in computational nuclear engineering is the high-fidelity simulation of a full nuclear reactor core by way of a general simulation method. General full core simulations can potentially reduce design and ... -
A deviational Monte Carlo formulation of ab initio phonon transport and its application to the study of kinetic effects in graphene ribbons
(Massachusetts Institute of Technology, 2014)We present a deviational Monte Carlo method for solving the Boltzmann equation for phonon transport subject to the linearized ab initio 3-phonon scattering operator. Phonon dispersion relations and transition rates are ... -
Direct and adaptive quantification schemes for extreme event statistics in complex dynamical systems
(Massachusetts Institute of Technology, 2017)Quantifying extreme events is a central issue for many technological processes and natural phenomena. As extreme events, we consider transient responses that push the system away from its statistical steady state and that ... -
Efficient multiscale methods for micro/nanoscale solid state heat transfer
(Massachusetts Institute of Technology, 2015)In this thesis, we develop methods for solving the linearized Boltzmann transport equation (BTE) in the relaxation-time approximation for describing small-scale solidstate heat transfer. We first discuss a Monte Carlo (MC) ... -
Efficient Sampling Methods of, by, and for Stochastic Dynamical Systems
(Massachusetts Institute of Technology, 2022-02)This thesis presents new methodologies that lie at the intersection of computational statistics and computational dynamics. Stochastic differential equations (SDEs) are used to model a variety of physical systems, and ... -
Enhancement of unconventional oil and gas production forecasting using mechanistic-statistical modeling
(Massachusetts Institute of Technology, 2020)Unconventional oil and gas basins have rapidly become expansive and critical energy resource systems. However, accurately predicting highly variable well production rates remains challenging, given the typically poor ... -
Enhancing internet of things experience in augmented reality environments
(Massachusetts Institute of Technology, 2020)Seamless perception of objects' physical properties, such as temperature, is a key to improving the way we live and work. Thanks to the rapid development of sensor technology, Internet of Things (IoT) is shaping our world ... -
Entropy-stable hybridized discontinuous Galerkin methods for large-eddy simulation of transitional and turbulent flows
(Massachusetts Institute of Technology, 2019)The use of computational fluid dynamics (CFD) in the aerospace industry is limited by the inability to accurately and reliably predict complex transitional and turbulent flows. This has become a major barrier to further ... -
Experimental study and modeling analysis of ion transport membranes for methane partial oxidation and oxyfuel combustion
(Massachusetts Institute of Technology, 2017)The atmospheric concentration of CO 2 has recently exceeded 400 (ppm) (up from 285 (ppm) in 1850), largely because of the burning of fossil fuels. Despite the growth of alternatives, these fuels will continue to play a ... -
Fast modeling of multi-phase mixture transport in piston/ring/liner system via GAN-augmented progressive modeling
(Massachusetts Institute of Technology, 2020)As a continued effort to advance the understanding of the power cylinder system and design capacities, we develop a modeling framework for multi-phase macro mixture transport that integrates all length scales, time scales ... -
Finite element solution of interface and free surface three-dimensional fluid flow problems using flow-condition-based interpolation
(Massachusetts Institute of Technology, 2015)The necessity for a highly accurate simulation scheme of free surface flows is emphasized in various industrial and scientific applications. To obtain an accurate response prediction, mass conservation must be satisfied. ... -
First-principles approaches for accurate predictions of nanostructured materials
(Massachusetts Institute of Technology, 2019)Nanostructured materials have attracted increasing interest in recent years due to their unusual mechanical, electrical, electronic and optical properties. First-principles electronic structure calculations (e.g., with ...