A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
An overview on nature-inspired optimization algorithms for Structural Health Monitoring of historical buildings
Structural Health Monitoring (SHM) of historical building is an emerging field of research aimed at the development of strategies for on-line assessment of structural condition and identification of damage in the earliest stage. Built heritage is weak against operational and environmental condition and preservation must guarantee minimum repair and non-intrusiveness. SHM provides a cost-effective management and maintenance allowing prevention and prioritization of the interventions. Recently, in computer science, mimicking nature to address complex problems is becoming more frequent. Nature-inspired approaches turn out to be extremely efficient in facing optimization, commonly used to analyze engineering processes in SHM, providing interesting advantages when compared with classic methods. This paper begins with an introduction to Natural Computing. Then, focusing on its applications to SHM, possible improvements in built heritage conservation are shown and discussed suggesting a general framework for safety assessment and damage identification of existing structures.
An overview on nature-inspired optimization algorithms for Structural Health Monitoring of historical buildings
Structural Health Monitoring (SHM) of historical building is an emerging field of research aimed at the development of strategies for on-line assessment of structural condition and identification of damage in the earliest stage. Built heritage is weak against operational and environmental condition and preservation must guarantee minimum repair and non-intrusiveness. SHM provides a cost-effective management and maintenance allowing prevention and prioritization of the interventions. Recently, in computer science, mimicking nature to address complex problems is becoming more frequent. Nature-inspired approaches turn out to be extremely efficient in facing optimization, commonly used to analyze engineering processes in SHM, providing interesting advantages when compared with classic methods. This paper begins with an introduction to Natural Computing. Then, focusing on its applications to SHM, possible improvements in built heritage conservation are shown and discussed suggesting a general framework for safety assessment and damage identification of existing structures.
An overview on nature-inspired optimization algorithms for Structural Health Monitoring of historical buildings
Barontini A. (author) / Masciotta M. G. (author) / Ramos L. F. (author) / Amado-Mendes P. (author) / Lourenco P. B. (author) / Barontini, A. / Masciotta, M. G. / Ramos, L. F. / Amado-Mendes, P. / Lourenco, P. B.
2017-01-01
Conference paper
Electronic Resource
English
DDC:
710
Permanent monitoring of historical buildings structural health via remote control
| British Library Conference Proceedings | 2010
REVIEW OF NATURE-INSPIRED OPTIMIZATION ALGORITHMS APPLIED IN CIVIL ENGINEERING
| DOAJ | 2018
Monitoring Data for the Structural Assessment of Historical Buildings
| British Library Conference Proceedings | 2008