Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Two-Stage Optimal Sensor Placement Using Graph-Theory and Evolutionary Algorithms
Data acquisition of ambient responses plays an important role in the modal identification and Structural Health Monitoring (SHM). The structural responses are measured by sensors fixed at different points of the structure. Since the number of sensors is limited, hence they must be placed in optimal positions for accurate identification. This chapter presents a two-stage Optimal Sensor Placement (OSP) method for modal identification of structures. At the first stage, using a graph-theoretic technique, the structure is partitioned into equal substructures. At the second stage, a predefined number of triaxial sensors are allocated to the substructures.
Two-Stage Optimal Sensor Placement Using Graph-Theory and Evolutionary Algorithms
Data acquisition of ambient responses plays an important role in the modal identification and Structural Health Monitoring (SHM). The structural responses are measured by sensors fixed at different points of the structure. Since the number of sensors is limited, hence they must be placed in optimal positions for accurate identification. This chapter presents a two-stage Optimal Sensor Placement (OSP) method for modal identification of structures. At the first stage, using a graph-theoretic technique, the structure is partitioned into equal substructures. At the second stage, a predefined number of triaxial sensors are allocated to the substructures.
Two-Stage Optimal Sensor Placement Using Graph-Theory and Evolutionary Algorithms
Studies Comp.Intelligence
Kaveh, Ali (Autor:in) / Dadras Eslamlou, Armin (Autor:in)
Metaheuristic Optimization Algorithms in Civil Engineering: New Applications ; Kapitel: 6 ; 115-137
15.04.2020
23 pages
Aufsatz/Kapitel (Buch)
Elektronische Ressource
Englisch
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