Generalized modal identification of linear and nonlinear dynamic systems

This dissertation is concerned with the problem of determining the dynamic characteristics of complicated engineering systems and structures from the measurements made during dynamic tests or natural excitations. Particular attention is given to the identification and modeling of the behavior of structural dynamic systems in the nonlinear hysteretic response regime. Once a model for the system has been identified, it is intended to use this model to assess the condition of the system and to predict the response to future excitations.

A new identification methodology based upon a generalization of the method of modal identification for multi-degree-of-freedom dynaimcal systems subjected to base motion is developed. The situation considered herein is that in which only the base input and the response of a small number of degrees-of-freedom of the system are measured. In this method, called the generalized modal identification method, the response is separated into "modes" which are analogous to those of a linear system. Both parametric and nonparametric models can be employed to extract the unknown nature, hysteretic or nonhysteretic, of the generalized restoring force for each mode.

In this study, a simple four-term nonparametric model is used first to provide a nonhysteretic estimate of the nonlinear stiffness and energy dissipation behavior. To extract the hysteretic nature of nonlinear systems, a two-parameter distributed element model is then employed. This model exploits the results of the nonparametric identification as an initial estimate for the model parameters. This approach greatly improves the convergence of the subsequent optimization process.

The capability of the new method is verified using simulated response data from a three-degree-of-freedom system. The new method is also applied to the analysis of response data obtained from the U.S.-Japan cooperative pseudo-dynamic test of a full-scale six-story steel-frame structure.

The new system identification method described has been found to be both accurate and computationally efficient. It is believed that it will provide a useful tool for the analysis of structural response data.

The climate and eastern ocean systems project

A brief description of the NMFS/ORSTOM/ILCARM climate and Eastern Ocean systems (CEOS) project is given. CEOS will study the four major eastern boundary current regions (Peru/Chile, California, Northwest and Southwest Africa) and attempt to separate local short term changes of their resources and/or dynamics from long-term, climatic global changes. Expected products range from a large, widely accessible oceanographic / atmospheric database to various documents that will present key results as well as improved contacts and stronger analytical capabilities in cooperating national institutions.

Integrated rice-prawn farming in the Mekong Delta, Vietnam: a route towards sustainable and profitable farming systems?

Economic analysis and performance of the integrated rice-prawn farming systems in the Mekong Delta (Vietnam) are reviewed, including the problems and constraints of this integrated system technology.

Design, construction and evaluation of systems to predict risk in obstetrics.

We present a systematic, practical approach to developing risk prediction systems, suitable for use with large databases of medical information. An important part of this approach is a novel feature selection algorithm which uses the area under the receiver operating characteristic (ROC) curve to measure the expected discriminative power of different sets of predictor variables. We describe this algorithm and use it to select variables to predict risk of a specific adverse pregnancy outcome: failure to progress in labour. Neural network, logistic regression and hierarchical Bayesian risk prediction models are constructed, all of which achieve close to the limit of performance attainable on this prediction task. We show that better prediction performance requires more discriminative clinical information rather than improved modelling techniques. It is also shown that better diagnostic criteria in clinical records would greatly assist the development of systems to predict risk in pregnancy.

Biodeterioration of cellulose materials in Karingote, Nileswaram, Kavvayi and Ramapuram Backwater systems of Kerala

The hydrographic conditions prevailing in an estuarine system along the southwest coast of India are described. The nature of destruction of timber in these backwaters has been examined in detail which revealed the existence of 8 species of shipworms, 2 species each of pholads and isopods. The shipworms are represented by Dicyathifer manni, Lyrodus pedicellatus, Teredo furcifera, T. clappi, Nausitora dunlopei, Bankia carinata, B. campanellata; the pholads by Martesia striata and M. (Purticoma) nairi; and the isopods by Sphaeroma terebrans and S. annandalei. The incidence and relative abundance of these pests are discussed in relation to the salinity profile of the estuary.