In this course, principles of structural health monitoring are taught, focusing on modern concepts of data acquisition, data storage, and data analysis. Also, fundamentals of intelligent sensors and embedded computing will be illuminated. Autonomous software and decentralized data processing are further crucial parts of the course. Furthermore, measuring principles, data acquisition systems, data management and data analysis algorithms are discussed. Besides the theoretical background, numerous practical examples are shown to demonstrate how structural health monitoring can advantageously be used for assessing the condition of structural systems and, in further steps, for lifetime prediction and life-cycle management of civil engineering structures or structural parts. In addition to the lectures, a project work is included in this course. In small groups, the students design structural health monitoring systems that integrate a number of "intelligent" sensors to be implemented by the students. The structural health monitoring systems will be mounted on laboratory test structures, such as bridges or towers, for validation purposes. The outcome of every group is to be documented in a paper. The written papers and oral examinations form the final grades. This course is held in English. Limited enrollment. Prerequisites for this course: Object-oriented modeling and Java programming language. Requirements for examination: (i) Development of a wireless SHM system, (ii) participation in the project work (including the laboratory test), (iii) written paper.
Please note: Time and location will be announced. Enrollment must be done online.
Information on how to enroll will be provided in the first lecture on October 12, 2016 (9:15am), Coudraystr. 13D, Orion-Pool.