Browsing Center for Computational Science and Engineering (CCSE) by Title
Now showing items 56-73 of 73
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Resilient operations of smart electricity networks under security and reliability failures
(Massachusetts Institute of Technology, 2019)Blackouts (or cascading failures) in Electricity Networks (ENs) can result in severe consequences for economic activity, human safety and national security. Recent incidents suggest that risk of blackouts due to cyber-security ... -
Risk Assessment and Optimal Response Strategies for Resilience of Electric Power Infrastructure to Extreme Weather
(Massachusetts Institute of Technology, 2021-06)Extreme weather is an increasingly critical threat to infrastructure systems. This thesis develops a stochastic modeling and decision-making framework for proactive resource allocation and response strategies to improve ... -
Scaling Bayesian optimization for engineering design : lookahead approaches and multifidelity dimension reduction
(Massachusetts Institute of Technology, 2018)The objective functions and constraints that arise in engineering design problems are often non-convex, multi-modal and do not have closed-form expressions. Evaluation of these functions can be expensive, requiring a ... -
A scientific machine learning approach to learning reduced models for nonlinear partial differential equations
(Massachusetts Institute of Technology, 2021)This thesis presents a new scientific machine learning method which learns from data a computationally inexpensive surrogate model for predicting the evolution of a system governed by a time-dependent nonlinear partial ... -
Scientific Machine Learning for Dynamical Systems: Theory and Applications to Fluid Flow and Ocean Ecosystem Modeling
(Massachusetts Institute of Technology, 2022-09)Complex dynamical models are used for prediction in many domains, and are useful to mitigate many of the grand challenges being faced by humanity, such as climate change, food security, and sustainability. However, because ... -
Sea Spray-Mediated Fluxes at Extreme Wind Speeds
(Massachusetts Institute of Technology, 2021-09)Tropical cyclones are complex systems that are challenging to forecast and model. Since tropical cyclones are powered by the warm ocean surface, the accuracy of intensity forecasts depends heavily on the air-sea interaction ... -
Simulating fluid-solid interaction using smoothed particle hydrodynamics method
(Massachusetts Institute of Technology, 2017)The fluid-solid interaction (FSI) is a challenging process for numerical models since it requires accounting for the interactions of deformable materials that are governed by different equations of state. It calls for the ... -
Simulation methods for plasmonic structures
(Massachusetts Institute of Technology, 2017)In the recent years there has been a growing interest in studying electromagnetic wave propagation at the nanoscale. The interaction of light with metallic nanostructures produces a collective excitation of conduction ... -
Stochastic Control Through a Modern Lens: Applications in Supply Chain Analytics and Logistical Systems
(Massachusetts Institute of Technology, 2022-05)The thesis investigates classical multi-period stochastic control problems through a modern lens, including stochastic inventory control, dynamic pricing and vehicle routing. A brief history of the academic works on ... -
Strategic and analytics-driven inspection operations for critical infrastructure resilience
(Massachusetts Institute of Technology, 2019)Resilience of infrastructure networks is a key requirement for a functioning modern society. These networks work continuously to enable the delivery of critical services such as water, natural gas, and transportation. ... -
A study of Taylor bubbles in vertical and inclined slug flow using multiphase CFD with level set
(Massachusetts Institute of Technology, 2016)Slug flow commonly occurs in gas and oil systems. Current predictive methods are based on mechanistic models, which require the use of closure relations to complement the conservation equations to predict integral flow ... -
The swept rule for breaking the latency barrier in time-advancing PDEs
(Massachusetts Institute of Technology, 2019)This thesis describes a method to accelerate parallel, explicit time integration of unsteady PDEs. The method is motivated by our observation that network latency, not bandwidth or computing power, often limits how fast ... -
Three-dimensional Integral Boundary Layer Method for Viscous Aerodynamic Analysis
(Massachusetts Institute of Technology, 2022-09)Viscous aerodynamic analysis is crucial for aircraft design in terms of understanding key performance metrics such as drag. However, despite advances in computational fluid dynamics (CFD) in the past few decades, a ... -
Towards stable principles of collective intelligence under an environment-dependent framework
(Massachusetts Institute of Technology, 2019)A large body of work has shown that a group of individuals can often achieve higher levels of intelligence than the group members working alone. Despite these expectations of group advantage, many examples of collective ... -
Transport maps for accelerated Bayesian computation
(Massachusetts Institute of Technology, 2015)Bayesian inference provides a probabilistic framework for combining prior knowledge with mathematical models and observational data. Characterizing a Bayesian posterior probability distribution can be a computationally ... -
A two-step port-reduced reduced-basis component method for time domain elastodynamic PDE with application to structural health monitoring
(Massachusetts Institute of Technology, 2020)We present a two-step parameterized Model Order Reduction (pMOR) technique for elastodynamic Partial Differential Equations (PDE). pMOR techniques for parameterized time domain PDEs offer opportunities for faster solution ... -
Viscosity stabilized adjoint method for unsteady compressible Navier-Stokes equations
(Massachusetts Institute of Technology, 2018)Design optimization methods are a popular tool in computational fluid dynamics for designing components or finalizing the flow parameters of a system. The adjoint method accelerates the design process by providing gradients ... -
Visual and auditory scene parsing
(Massachusetts Institute of Technology, 2019)Scene parsing is a fundamental topic in computer vision and computational audition, where people develop computational approaches to achieve human perceptual system's ability in understanding scenes, e.g. group visual ...