TY - JOUR A1 - Morgenthal, Guido A1 - Eick, Jan Frederick A1 - Rau, Sebastian A1 - Taraben, Jakob T1 - Wireless Sensor Networks Composed of Standard Microcomputers and Smartphones for Applications in Structural Health Monitoring JF - Sensors - Special Issue Selected Papers from 7th Asia-Pacific Workshop on Structural Health Monitoring N2 - Wireless sensor networks have attracted great attention for applications in structural health monitoring due to their ease of use, flexibility of deployment, and cost-effectiveness. This paper presents a software framework for WiFi-based wireless sensor networks composed of low-cost mass market single-board computers. A number of specific system-level software components were developed to enable robust data acquisition, data processing, sensor network communication, and timing with a focus on structural health monitoring (SHM) applications. The framework was validated on Raspberry Pi computers, and its performance was studied in detail. The paper presents several characteristics of the measurement quality such as sampling accuracy and time synchronization and discusses the specific limitations of the system. The implementation includes a complementary smartphone application that is utilized for data acquisition, visualization, and analysis. A prototypical implementation further demonstrates the feasibility of integrating smartphones as data acquisition nodes into the network, utilizing their internal sensors. The measurement system was employed in several monitoring campaigns, three of which are documented in detail. The suitability of the system is evaluated based on comparisons of target quantities with reference measurements. The results indicate that the presented system can robustly achieve a measurement performance commensurate with that required in many typical SHM tasks such as modal identification. As such, it represents a cost-effective alternative to more traditional monitoring solutions. KW - Structural Health Monitoring KW - Mikrocomputer KW - Smartphone KW - Schwingungsmessung KW - Wireless sensor network KW - Raspberry Pi KW - Smartphones KW - Vibration measurements KW - OA-Publikationsfonds2019 Y1 - 2019 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:gbv:wim2-20190514-39123 UR - https://www.mdpi.com/1424-8220/19/9/2070 VL - 2019 IS - Volume 19, Issue 9, 2070 PB - MDPI ER - TY - JOUR A1 - Bremer, K. A1 - Wollweber, M. A1 - Weigand, F. A1 - Rahlves, M. A1 - Kuhne, Michael A1 - Helbig, R. A1 - Roth, B. T1 - Fibre Optic Sensors for the Structural Health Monitoring of Building Structures JF - Procedia Technology 26 N2 - In this work different fibre optic sensors for the structural health monitoring of civil engineering structures are reported. A fibre optic crack sensor and two different fibre optic moisture sensors have been designed to detect the moisture ingress in concrete based building structures. Moreover, the degeneration of the mechanical properties of optical glass fibre sensors and hence their long-term stability and reliability due to the mechanical and chemical impact of the concrete environment is discussed as well as the advantage of applying a fibre optic sensor system for the structural health monitoring of sewerage tunnels is demonstrated. KW - Structural Health Monitoring KW - crack sensor; fibre optic sensor; humidity sensor; SHM Y1 - 2016 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:gbv:wim2-20170331-30912 UR - http://www.sciencedirect.com/science/article/pii/S2212017316304121 SP - 524 EP - 529 ER -