Abstract: Posthazard reconnaissance is essential following natural hazards, such as earthquakes, strike a community. Conducting reconnaissance efforts with efficiency and accuracy is necessary to expedite recovery and support ...

Abstract: For understanding characteristics of polymethylmetacrylate (PMMA) under impact, the damage behavior of PMMA plates with various thicknesses (1.5 to 6.0 mm) subjected to ballistic impacts with various velocities (63 ...

Abstract: In bridge health monitoring (BHM), a prominent goal is to rapidly deliver assessment metrics for these essential and aging urban lifelines when subjected to natural hazard. A vibration-based machine learning (ML) BHM ...

Abstract: In structural dynamics, direct integration algorithms are commonly used to solve the temporally discretized differential equations of motion. Integration algorithms are categorized into either implicit or explicit. Implicit ...

Abstract: With the rapid development of machine learning (ML) and deep learning (DL) in computer vision, adopting these learning tools in vision-based structural health monitoring (SHM) and rapid damage assessment is attracting ...

Abstract: Post insulators are key components of most electrical substation equipment, but they are vulnerable during earthquakes. To better understand the seismic response of post insulators, this paper presents an experimental ...

Abstract: This paper presents experimental research findings of gravity-load-designed perforated waffle-slab systems. The tested system is part of an industrial facility where the floor is subjected to heavy gravity loads. The ...

Abstract: This paper presents finite-element (FE) modeling and nonlinear analysis of steel-concrete composite frames subjected to very large cyclic loading. A three-dimensional FE model is developed to carry out the nonlinear analysis. ...