nonlinear static procedure (nsp) is a common technique to predict seismic demands on various building structures by subjecting a monotonically increasing horizontal loading (pushover) to the structure. therefore, the pushover analysis is an important part of each nsp. accordingly, the current paper aims at investigating the efficiencyof various algorithms of lateral load patterns applied to the...

the writing of iranian architectural history has, from its start, followed the principles of western historiography. portions of this history are well expected to be neglected or unattended when writing of it takes place outside its intellectual framework that essentially reflects the iranian throught world. to have a truly iranian architectural historiography, one has to find the theoretical p...

in this paper, seismic behavior of the existing buildings equipped by friction dampers is studied. seismic performance of6-story, 9-story and 12-story steel buildings with damper and without damper were studied. the finite element modeling technique (sap2000 software) is used for analysis. time history analyzing was done to achieve this purpose. for nonlinear dynamic analysis, the responses of ...

future design procedures for civil structures, especially those to be protected from extreme and blast relatedloads, will need to account for temporal evolution of their frequency content. there are, however, several instanceswhere acceleration time histories are required as seismic input. for example, to determine the ultimate resistance andto identify modes of structures’ failure, a nonlinear...

Nonlinear effects in fMRI BOLD data may substantially influence estimates of task-related activations, particularly in rapid event-related designs. If the BOLD response to each stimulus is assumed to be independent of the stimulation history, nonlinear interactions create a prediction error that may reduce sensitivity. When stimulus density differs among conditions, nonlinear effects can cause ...

Time series and their methods of analysis are important subjects in statistics. Most of time series have a linear behavior and can be modelled by linear ARIMA models. However, some of realized time series have a nonlinear behavior and for modelling them one needs nonlinear models. For this, many good parametric nonlinear models such as bilinear model, exponential autoregressive model, threshold...

This paper presents simple analytical approaches for evaluating progressive collapse potential of lowand mid-rise buildings that could be used in routine design by design professionals. Although nonlinear time history analysis would be more realistic in representing progressive collapse phenomenon, high fidelity structural models to represent nonlinear structural behavior are required to produc...