Charles R. Farrar

TL;DR: The Los Alamos Damage Prognosis Initiative as discussed by the authors is an initiative of the Los A. Alamos National Laboratory through Laboratory Directed Research Development (LDRD), which was established by the Department of Energy through laboratory directed research development.

TL;DR: A risk-based decision framework for structural health monitoring is formulated that combines elements of PRA with the existing SHM paradigm and is demonstrated on a realistic truss-like structure and supported by experimental data.

TL;DR: The process of implementing a damage detection strategy for engineering systems is often referred to as structural health monitoring and this paradigm is described in detail, with a general discussion of each portion of the process.

TL;DR: In this paper, several different techniques for damage assessment are demonstrated and compared using experimental modal data from an undamaged and damaged bridge, which are obtained from modal parameters, such as the flexibility matrix, stiffness matrix, and mode shape curvature.

TL;DR: In this article, a field demonstration of a new and hybrid wireless sensing network paradigm for structural health monitoring (SHM) is presented, where both power and data interrogation commands are conveyed via a mobile agent that is sent to each sensor node to perform individual interrogations, which can alleviate several limitations of traditional sensing networks.