Uncertainty propagation in dynamic sub-structuring by model reduction integrated domain decomposition
نویسندگان
چکیده
منابع مشابه
Iterative Methods for Model Reduction by Domain Decomposition
We propose a method to reduce the computational effort to solve a partial differential equation on a given domain. The main idea is to split the domain of interest in two subdomains, and to use different approximation methods in each of the two subdomains. In particular, in one subdomain we discretize the governing equations by a canonical scheme, whereas in the other one we solve a reduced ord...
متن کاملConservation based uncertainty propagation in dynamic systems
Conservation Based Uncertainty Propagation in Dynamic Systems by Lillian J Ratliff Dr. Pushkin Kachroo, Examination Committee Chair Professor of Electrical and Computer Engineering University of Nevada, Las Vegas Uncertainty is present in our everyday decision making process as well as our understanding of the structure of the universe. As a result an intense and mathematically rigorous study o...
متن کاملStructuring Retrenchments in B by Decomposition
Simple retrenchment is briefly reviewed in the B language of J.-R. Abrial [1] as a liberalization of classical refinement, for the formal description of application developments too demanding for refinement. This work initiates the study of the structuring of retrenchment-based developments in B by decomposition. A given coarse-grained retrenchment relation between specifications is decomposed ...
متن کاملDomain Decomposition and Model Reduction of Systems with Local Nonlinearities
The goal of this paper is to combine balanced truncation model reduction and domain decomposition to derive reduced order models with guaranteed error bounds for systems of discretized partial differential equations (PDEs) with a spatially localized nonlinearities. Domain decomposition techniques are used to divide the problem into linear subproblems and small nonlinear subproblems. Balanced tr...
متن کاملFast Wave Propagation by Model Order Reduction
Large scale wave propagation simulation is currently achievable in reasonable turnaround times by using distributed computing in multiple cpu clusters. However, if one needs to perform many such simulations, as is the case in optimization, tomography, or seismic imaging, then the resources required are still prohibitive. Model order reduction of large dynamical systems has been successfully use...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Computer Methods in Applied Mechanics and Engineering
سال: 2020
ISSN: 0045-7825
DOI: 10.1016/j.cma.2020.113060