Reanalysis for local quantities of interest
نویسندگان
چکیده
In this contribution a method for the prediction of change in quantity interest due to structural modifications is considered. The approach based on goal-oriented by using primal and dual problems. can be used order reduce overall computational cost numerical simulation. Furthermore, proposed easily implement existing finite element programs, because no derivatives with respect design variables are necessary.
منابع مشابه
The complexity of estimating local physical quantities
An important task in quantum physics is the estimation of local quantities for ground states of local Hamiltonians. Recently, [Ambainis, CCC 2014] defined the complexity class P, and motivated its study by showing that the physical task of estimating the expectation value of a local observable against the ground state of a local Hamiltonian is P-complete. (Here, P is the set of decision problem...
متن کاملA Meshless-based Local Reanalysis Method for Structural Analysis
This study presents a meshless-based local reanalysis (MLR) method. The purpose of this study is to extend reanalysis methods to the Kriging interpolation meshless method due to its high efficiency. In this study, two reanalysis methods: combined approximations CA) and indirect factorization updating (IFU) methods are utilized. Considering the computational cost of meshless methods, the reanaly...
متن کاملSome methods of obtaining quantitative structure-activity relationships for quantities of environmental interest.
Methods are described for obtaining quantitative structure-activity relationships (QSAR) for the estimation of quantities of environmental interest. Toxicities of alkylamines and of alkyl alkanoates are well correlated by the alkyl bioactivity branching equation (ABB). Narcotic activities of 1,1-disubstituted ethylenes are correlated by the intermolecular forces bioactivity (IMF) equation. When...
متن کاملAdvanced Numerical Methods for Computing Statistical Quantities of Interest from Solutions of Spdes
Computational simulation-based predictions are central to science and engineering and to risk assessment and decision making in economics, public policy, and military venues, including several of importance to Air Force missions. Unfortunately, predictions are often fraught with uncertainty so that effective means for quantifying that uncertainty are of paramount importance. The research effort...
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: Proceedings in applied mathematics & mechanics
سال: 2021
ISSN: ['1617-7061']
DOI: https://doi.org/10.1002/pamm.202100079