Sami F. Masri

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Structural health monitoring (SHM) is an important application area for wireless sensor networks. SHM techniques attempt to autonomously detect and localize damage in large civil structures. Structural engineers often implement and test SHM algorithms in a higher level language such as C/Matlab. In this paper, we describe the design and evaluation of(More)
While sensor network research has made significant strides in the past few years, the literature has relatively few examples of papers that have evaluated and validated a complete experimental system. In this paper, we discuss our deployment experiences and evaluate the performance of a multi-hop wireless data acquisition system (called Wisden) for(More)
Visual inspection of structures is a highly qualitative method in which inspectors visually assess a structure’s condition. If a region is inaccessible, binoculars must be used to detect and characterize defects. Although several Non-Destructive Testing methods have been proposed for inspection purposes, they are nonadaptive and cannot quantify crack(More)
Structural health monitoring (SHM) is an active area of research devoted to systems that can autonomously and proactively assess the structural integrity of bridges, buildings, and aerospace vehicles. Recent technological advances promise the eventual ability to cover a large civil structure with low-cost wireless sensors that can continuously monitor a(More)
1 This paper describes an ongoing project investigating embedded networked sensing for structural health monitoring applications. The vision is of many low-power sensor “motes” embedded throughout the structure with a smaller number of nodes that can provide local excitation. The challenge is to develop both the networking algorithms to reliably communicate(More)
Recent work has examined the design of wireless sensor network (WSN) systems for structural health monitoring (SHM). Wireless sensors enable dense monitoring of large physical structures and promise enormous ease and flexibility of deployment of instrumentation, as well as low maintenance and deployment costs. However, programming sensing applications on a(More)
Structural health monitoring through the use of finite element model updating techniques for dispersed civil infrastructures usually deals with minimizing a complex, nonlinear, nonconvex, high-dimensional cost function with several local minima. Hence, stochastic optimization algorithms with promising performance in solving global optimization problems have(More)
In this paper we evaluate the performance of Wisden a wireless multi-hop sensor network based data acquisition system for structural health monitoring (SHM) applications. We deploy Wisden in two real environments: a seismic test structure and a four story office building. We examine several aspects such as reliability, latency and data integrity of Wisden,(More)
In this article, wind-induced vibration response of Vincent Thomas Bridge, a suspension bridge located in San Pedro near LosAngeles, California, is simulated using a detailed three-dimensional finite element model of the bridge and a state-of-the-art stochastic wind excitation model. Based on the simulated wind-induced vibration data, the modal parameters(More)