Emerging Technologies for Risk Reduction II: Structural Control and Health Monitoring
نویسنده
چکیده
Panelists: James L. Beck California Institute of Technology Lawrence A. Bergman University of Illinois at Urbana Champaign Franco de Flaviis University of California–Irvine Luis Jofre University of California–Irvine Le Val Lund Independent Consultant, Water Resources Sami F. Masri University of Southern California Andre M. Reinhorn State University of New York at Buffalo Jann N. Yang University of California–Irvine
منابع مشابه
Thermo-Electro Mechanical Impedance based Structural Health Monitoring: Euler- Bernoulli Beam Modeling
In recent years, impedance measurement method by piezoelectric (PZT) wafer activesensor (PWAS) has been widely adopted for non-destructive evaluation (NDE). In this method, theelectrical impedance of a bonded PWAS is used to detect a structural defect. The electro-mechanicalcoupling of PZT materials constructs the original principle of this method. Accordingly, the electricalimpedance of PWAS c...
متن کاملRisk Monitoring of Buildings Using Wireless Sensor Network
1 ABSTRACT: A risk monitoring of buildings for natural and man-made hazards mitigation is discussed in this paper. Ubiquitous monitoring using a network of wireless sensors is one of the most promising emerging technologies for this purpose. A smart sensor based on the “Berkeley Mote” platform was introduced, and application to the next generation of structural health monitoring and control was...
متن کاملValidation of effective factors in management of emerging infectious diseases with a focus on covid-19 pandemic
Background and objective: Risk reduction is one of the pillars of sustainable development of society. The aim of the research is Validation of effective factors in crisis management of emerging infectious diseases with a focus on covid-19 disease so that the managers of the organizations can gain benefits while having a systemic thinking and a suitable management model while passing along with ...
متن کاملAdsorption study of Zinc ion onto halloysite nanotubes using taguchi’s design of experimental methodology
In this paper, Taguchi method was applied to determine the optimum conditions for Zn (II) removal from aqueous solution by halloysite nanotubes (HNTs). An orthogonal array experimental design (L16 (45) which is of five control factors including pH, t (contact time), m (adsorbent mass), T (temperature) and C0 (initial concentration of Zn (II)) having four levels ...
متن کاملFeature Selection in Structural Health Monitoring Big Data Using a Meta-Heuristic Optimization Algorithm
This paper focuses on the processing of structural health monitoring (SHM) big data. Extracted features of a structure are reduced using an optimization algorithm to find a minimal subset of salient features by removing noisy, irrelevant and redundant data. The PSO-Harmony algorithm is introduced for feature selection to enhance the capability of the proposed method for processing the measure...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2001