The recent availability of software tools for nonlinear path analyses, such as WarpPLS, enables e-collaboration researchers to take nonlinearity into consideration when estimating coefficients of association among linked variables. Nonlinear path analyses can be applied to models with or without latent variables, and provide advantages over data segmentation analyses, including those employing ...

Time-history deformation analyses of upstream-raised tailings dams use seismic records as input data. Such must be representative the in-situ seismicity in terms a wide range intensity measures (IMs) including peak ground acceleration (PGA), Arias (AI), cumulative absolute velocity (CAV), source-to-site distance and duration, among others. No single IM is sufficient descriptor given demand (e.g...

We developed a direct measurement method for comprehensive analyses of Kerr and plasma effects that cooperated or competed with molecular alignment-induced spatiotemporal modulation for intense aligning and weak probing pulses around zero time delay. The mixed influences were revealed by time-resolving the combined spatial focusing or defocusing dynamics under different molecular alignment dire...

A review of previous studies shows that there are two general views on how to determine demand in structures through incremental nonlinear static analysis. In the first view, multi-modal methods are used to determine demand in structures. In this view, the applied load pattern is applied to the structure according to the shape of each vibration mode, assuming that the structure deformation foll...

In this paper, a special recurrent neural network (RNN), i.e., the Zhang neural network (ZNN), is presented and investigated for online time-varying nonlinear optimization (OTVNO). Compared with the research work done previously by others, this paper analyzes continuous-time and discrete-time ZNN models theoretically via rigorous proof. Theoretical results show that the residual errors of the c...

A new approach for pole placement of nonlinear systems using state feedback and fuzzy system is proposed. We use a new online fuzzy training method to identify and to obtain a fuzzy model for the unknown nonlinear system using only the system input and output. Then, we linearized this identified model at each sampling time to have an approximate linear time varying system. In order to stabilize...

Direct Displacement-Based Design (DDBD) is a performence-based seismic design method that has been proposed and well developed over the past two decades to design RC frame structures, shear walls and bridges. In this method, the behavior of a multi-degree-of-freedom (MDOF) sysytem is approximaeted by an equivalent single-degree-of-freedom (SDOF) substitute structure. Although this method has be...