TY  - GEN
A1  - Loupos, Konstantinos
A1  - Damigos, Yannis
A1  - Tsertou, Athanasisa
A1  - Amditis, Angelos
A1  - Lenas, Sotiris-Angelos
A1  - Chatziandreoglou, Chistos
A1  - Malliou, Christina
A1  - Tsaoussidis, Vassilis
A1  - Gerhard, Reimund
A1  - Rychkov, Dmitry
A1  - Wirges, Werner
A1  - Frankenstein, Bernd
A1  - Camarinopoulos, Stephanos
A1  - Kalidromitis, Vassilis
A1  - Sanna, C.
A1  - Maier, Stephanos
A1  - Gordt, A.
A1  - Panetsos, P.
T1  - Innovative soft-material sensor, wireless network and assessment software for bridge life-cycle assessment
T2  - Life-cycle analysis and assessmanet in civil engineering : towards an integrated vision
N2  - Nowadays, structural health monitoring of critical infrastructures is considered as of primal importance especially for managing transport infrastructure however most current SHM methodologies are based on point-sensors that show various limitations relating to their spatial positioning capabilities, cost of development and measurement range. This publication describes the progress in the SENSKIN EC co-funded research project that is developing a dielectric-elastomer sensor, formed from a large highly extensible capacitance sensing membrane and is supported by an advanced micro-electronic circuitry, for monitoring transport infrastructure bridges. The sensor under development provides spatial measurements of strain in excess of 10%, while the sensing system is being designed to be easy to install, require low power in operation concepts, require simple signal processing, and have the ability to self-monitor and report. An appropriate wireless sensor network is also being designed and developed supported by local gateways for the required data collection and exploitation. SENSKIN also develops a Decision-Support-System (DSS) for proactive condition-based structural interventions under normal operating conditions and reactive emergency intervention following an extreme event. The latter is supported by a life-cycle-costing (LCC) and life-cycle-assessment (LCA) module responsible for the total internal and external costs for the identified bridge rehabilitation, analysis of options, yielding figures for the assessment of the economic implications of the bridge rehabilitation work and the environmental impacts of the bridge rehabilitation options and of the associated secondary effects respectively. The overall monitoring system will be evaluated and benchmarked on actual bridges of Egnatia Highway (Greece) and Bosporus Bridge (Turkey).
Y1  - 2019
SN  - 978-1-315-22891-4
SN  - 978-1-138-62633-1
SP  - 2085
EP  - 2092
PB  - CRC Press, Taylor & Francis Group
CY  - Boca Raton
ER  - 
TY  - GEN
A1  - Loupos, Konstantinos
A1  - Damigos, Yannis
A1  - Amditis, Angelos
A1  - Gerhard, Reimund
A1  - Rychkov, Dmitry
A1  - Wirges, Werner
A1  - Schulze, Manuel
A1  - Lenas, Sotiris-Angelos
A1  - Chatziandreoglou, Christos
A1  - Malliou, Christina
A1  - Tsaoussidis, Vassilis
A1  - Brady, Ken
A1  - Frankenstein, Bernd
T1  - Structural health monitoring system for bridges based on skin-like sensor
T2  - IOP conference series : Materials science and engineering
N2  - Structural health monitoring activities are of primal importance for managing transport infrastructure, however most SHM methodologies are based on point-based sensors that have limitations in terms of their spatial positioning requirements, cost of development and measurement range. This paper describes the progress on the SENSKIN EC project whose objective is to develop a dielectric-elastomer and micro-electronics-based sensor, formed from a large highly extensible capacitance sensing membrane supported by advanced microelectronic circuitry, for monitoring transport infrastructure bridges. Such a sensor could provide spatial measurements of strain in excess of 10%. The actual sensor along with the data acquisition module, the communication module and power electronics are all integrated into a compact unit, the SENSKIN device, which is energy-efficient, requires simple signal processing and it is easy to install over various surface types. In terms of communication, SENSKIN devices interact with each other to form the SENSKIN system; a fully distributed and autonomous wireless sensor network that is able to self-monitor. SENSKIN system utilizes Delay-/Disruption-Tolerant Networking technologies to ensure that the strain measurements will be received by the base station even under extreme conditions where normal communications are disrupted. This paper describes the architecture of the SENSKIN system and the development and testing of the first SENSKIN prototype sensor, the data acquisition system, and the communication system.
Y1  - 2017
U6  - https://doi.org/10.1088/1757-899X/236/1/012100
SN  - 1757-8981
VL  - 236
PB  - IOP Publ. Ltd.
CY  - Bristol
ER  -