Model Reduction and Model Expansion and Their Applications Part 1 - Theory
نویسنده
چکیده
Model reduction and model expansion play an important part in many aspects of structural dynamic modeling techniques. These include reduced models for structural response studies, correlation of analytical and experimental models, expansion of measured mode shapes for structural dynamic modification and system models, and expansion for analytical model improvement studies using modal vectors. A mapping is needed between the analytical and experimental models typically used in these studies that is provided by the model reduction and model expansion processes. Contributions to this important area made by John O’Callahan are presented in this paper. This paper is broken down into Part 1 covering the theoretical aspects and Part 2 which addresses some of the applications of this material.
منابع مشابه
Prospect of Emission Reduction Standard for Sustainable Port Equipment Electrification
Despite efficient carbon monitoring system and the commercialization of battery technology for intra-port transportation, port management are found not adopting these environmental yet costly equipments. Port authority who regulates environmental policies lacks leverage to impose tangible reduction on emission through concession. This model integrates sustainability into port equipment expansio...
متن کاملEvaluation of underwater acoustic propagation model (Ray theory) in a river using Fluvial Acoustic Tomography System
Underwater acoustics is widely used in many applications, such as oceanography, marine biology, hydrography, fishery, etc. Different models are introduced to simulate the underwater acoustic propagation in the oceans and the seas. In this study, the Ray Theory model is used to simulate the acoustic wave propagation in a shallow-freshwater river (Gono River) located in western part of Japan. The...
متن کاملClassification of encrypted traffic for applications based on statistical features
Traffic classification plays an important role in many aspects of network management such as identifying type of the transferred data, detection of malware applications, applying policies to restrict network accesses and so on. Basic methods in this field were using some obvious traffic features like port number and protocol type to classify the traffic type. However, recent changes in applicat...
متن کاملDamage identification of structures using second-order approximation of Neumann series expansion
In this paper, a novel approach proposed for structural damage detection from limited number of sensors using extreme learning machine (ELM). As the number of sensors used to measure modal data is normally limited and usually are less than the number of DOFs in the finite element model, the model reduction approach should be used to match with incomplete measured mode shapes. The second-order a...
متن کاملModel Reduction of a Solid Oxide Fuel Cell (SOFC) for Control Purposes
Fuel cells belong to an avant-garde technology family for a wide variety of applications including micro-power, transportation power, stationary power for buildings and other distributed generation applications. The first objective of this contribution is to find a suitable reduced model of a Solid Oxide Fuel Cell (SOFC). The derived reduced model is then used to design a state estimator. I...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2004