@article{BremerWollweberWeigandetal.,
  author    = {Bremer, K. and Wollweber, M. and Weigand, F. and Rahlves, M. and Kuhne, Michael and Helbig, R. and Roth, B.},
  title     = {Fibre Optic Sensors for the Structural Health Monitoring of Building Structures},
  series = {Procedia Technology 26},
  journal   = {Procedia Technology 26},
  doi       = {10.1016/j.protcy.2016.08.065},
  url       = {http://nbn-resolving.de/urn:nbn:de:gbv:wim2-20170331-30912},
  pages     = {524 -- 529},
  abstract  = {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.},
  subject      = {Structural Health Monitoring},
  language  = {en}
}
@article{Schnaidt1987,
  author    = {Schnaidt, Claude},
  title     = {Alt und Neu - Helft mir zu verstehen!},
  doi       = {10.25643/bauhaus-universitaet.1014},
  url       = {http://nbn-resolving.de/urn:nbn:de:gbv:wim2-20111215-10148},
  year      = {1987},
  abstract  = {Wissenschaftliches Kolloquium vom 24. bis 26. Juni 1986 in Weimar an der Hochschule f{\"u}r Architektur und Bauwesen zum Thema: 'Der wissenschaftlich-technische Fortschritt und die sozial-kulturellen Funktionen von Architektur und industrieller Formgestaltung in unserer Epoche'},
  subject      = {Altbaumodernisierung},
  language  = {de}
}
@article{MorgenthalEickRauetal.,
  author    = {Morgenthal, Guido and Eick, Jan Frederick and Rau, Sebastian and Taraben, Jakob},
  title     = {Wireless Sensor Networks Composed of Standard Microcomputers and Smartphones for Applications in Structural Health Monitoring},
  series = {Sensors - Special Issue Selected Papers from 7th Asia-Pacific Workshop on Structural Health Monitoring},
  volume    = {2019},
  journal   = {Sensors - Special Issue Selected Papers from 7th Asia-Pacific Workshop on Structural Health Monitoring},
  number    = {Volume 19, Issue 9, 2070},
  publisher = {MDPI},
  doi       = {10.3390/s19092070},
  url       = {http://nbn-resolving.de/urn:nbn:de:gbv:wim2-20190514-39123},
  pages     = {22},
  abstract  = {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.},
  subject      = {Structural Health Monitoring},
  language  = {en}
}
@article{ArtusKoch,
  author    = {Artus, Mathias and Koch, Christian},
  title     = {State of the art in damage information modeling for RC bridges - A literature review},
  series = {Advanced Engineering Informatics},
  volume    = {2020},
  journal   = {Advanced Engineering Informatics},
  number    = {volume 46, article 101171},
  publisher = {Elsevier Science},
  address   = {Amsterdam},
  doi       = {10.1016/j.aei.2020.101171},
  url       = {http://nbn-resolving.de/urn:nbn:de:gbv:wim2-20220506-46390},
  pages     = {1 -- 16},
  abstract  = {In Germany, bridges have an average age of 40 years. A bridge consumes between 0.4\% and 2\% of its construction cost per year over its entire life cycle. This means that up to 80\% of the construction cost are additionally needed for operation, inspection, maintenance, and destruction. Current practices rely either on paperbased inspections or on abstract specialist software. Every application in the inspection and maintenance sector uses its own data model for structures, inspections, defects, and maintenance. Due to this, data and properties have to be transferred manually, otherwise a converter is necessary for every data exchange between two applications. To overcome this issue, an adequate model standard for inspections, damage, and maintenance is necessary. Modern 3D models may serve as a single source of truth, which has been suggested in the Building Information Modeling (BIM) concept. Further, these models offer a clear visualization of the built infrastructure, and improve not only the planning and construction phases, but also the operation phase of construction projects. BIM is established mostly in the Architecture, Engineering, and Construction (AEC) sector to plan and construct new buildings. Currently, BIM does not cover the whole life cycle of a building, especially not inspection and maintenance. Creating damage models needs the building model first, because a defect is dependent on the building component, its properties and material. Hence, a building information model is necessary to obtain meaningful conclusions from damage information. This paper analyzes the requirements, which arise from practice, and the research that has been done in modeling damage and related information for bridges. With a look at damage categories and use cases related to inspection and maintenance, scientific literature is discussed and synthesized. Finally, research gaps and needs are identified and discussed.},
  subject      = {Building Information Modeling},
  language  = {de}
}