Sequential linearization method for viscous/elastic heterogeneous materials

نویسندگان
چکیده

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

A dynamic lattice model for heterogeneous materials

In this paper, the mechanical behavior of three-phase inhomogeneous materials is modeled using the meso-scale model with lattice beams for static and dynamic analyses. The Timoshenko beam theory is applied instead of the classical Euler-Bernoulli beam theory and the mechanical properties of lattice beam connection are derived based on the continuum medium using the non-local continuum theory. T...

متن کامل

a dynamic lattice model for heterogeneous materials

in this paper, the mechanical behavior of three-phase inhomogeneous materials is modeled using the meso-scale model with lattice beams for static and dynamic analyses. the timoshenko beam theory is applied instead of the classical euler-bernoulli beam theory and the mechanical properties of lattice beam connection are derived based on the continuum medium using the non-local continuum theory. t...

متن کامل

Synthesis of Sequential Circuits by using Linearization

The paper deals with synthesis of sequential circuits defined by their algorithmic state machine notation. Such circuits have a number of specific properties which enable efficient design of the circuits by utilizing so-called linearization techniques. A typical linearization technique includes calculation of autocorrelation values for a system of logic functions corresponding to the circuit. F...

متن کامل

A Statistical Method for Sequential Images – Based Process Monitoring

Today, with the growth of technology, monitoring processes by the use of video and satellite sensors have been more expanded, due to their rich and valuable information. Recently, some researchers have used sequential images for image defect detection because a single image is not sufficient for process monitoring. In this paper, by adding the time dimension to the image-based process monitorin...

متن کامل

Sequential optimal experiment design for neural networks using multiple linearization

Design of an optimal input signal in system identification using a multi-layer perceptron network is treated. Neural networks of the same structure differing only in parameter values are able to approximate various nonlinear mappings. To ensure high quality of network parameter estimates, it is crucial to find a suitable input signal. It is shown that utilizing the conditional probability densi...

متن کامل

ذخیره 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: European Journal of Mechanics - A/Solids

سال: 2011

ISSN: 0997-7538

DOI: 10.1016/j.euromechsol.2011.04.002