User study. We randomly sampled three seed motions from each of the four activities (walking, eating, smoking, and discussion), giving a total of 12 seed motions. We forecasted human motion from the seeds using S-RNN, LSTM3LR and ERD, resulting in total of 36 forecasted motions – equally divided across algorithms and activities. We asked five users to rate the forecasted motions on a Likert sca...

For performance-based design, nonlinear dynamic structural analysis using various types of input ground motions is required. Stochastic (simulated) ground motions are sometimes useful as input motions, because their properties can be varied systematically to study the impact of ground-motion properties on structural response, and producing large numbers of ground motions is simple. This paper d...

The state-of-the-art of near-fault problems in earthquake engineering is comprehensive reviewed. Strong ground motions in the near-fault region exhibit several new characteristics, which cause the attentions of both seismologists and engineers who zealously studied these ground motions during the last two deceases. The investigation on ground motions can interpret the mechanism of the earthquak...

This paper examines four methods by which ground motions can be selected for dynamic seismic response analyses of engineered systems when the underlying seismic hazard is quantified via ground motion simulation rather than empirical ground motion prediction equations. Even with simulation-based seismic hazard, a ground motion selection process is still required in order to extract a small numbe...

The estimation of potential strong ground motions at short epicentral distances (J1 = 10 to 25 km) resulting from large earthquakes, M;;;; 6.5, generally requires extrapolation of a limited data set. The goal of this project has been to quantify the extrapolation through a simulation technique that relies heavily upon the more extensive data set from smaller magnitude earthquakes. The simulatio...

Nowadays it is common to use the fragility curves in probabilistic methods to determine the collapse probability resulting from an earthquake. The uncertainties exist in intensity and frequency content of the earthquake records are considered as the most effective parameters in developing the fragility curves. The pulse-type records reported in the near-fault regions might lead to the major dam...

Endurance Time Method (ET) is a dynamic analysis in which structures are subjected to intensifying accelerograms that are optimized in a way that seismic performance of structures can be estimated at different hazard levels with the best possible accuracy. For the currently available ET accelerograms, regardless of the shaking characteristic, an excitation level is recognized as a representativ...