Your browser doesn't support javascript.
loading
Vehicle Bump Testing Parameters Influencing Modal Identification of Long-Span Segmental Prestressed Concrete Bridges.
Hernandez, Wilson; Viviescas, Alvaro; Riveros-Jerez, Carlos Alberto.
Afiliação
  • Hernandez W; School of Civil Engineering, Industrial University of Santander, Carrera 27 Calle 9, Bucaramanga 680002, Colombia.
  • Viviescas A; School of Civil Engineering, Industrial University of Santander, Carrera 27 Calle 9, Bucaramanga 680002, Colombia.
  • Riveros-Jerez CA; Faculty of Engineering, University of Antioquia, Calle 67 No. 53-108, Medellín 050010, Colombia.
Sensors (Basel) ; 22(3)2022 Feb 05.
Article em En | MEDLINE | ID: mdl-35161963
In-service prestressed concrete box girder bridges have received increasing attention in recent years due to a large number of bridges reaching decades in service. Therefore, the ageing of infrastructure demands the development of robust condition assessment methodologies based on affordable technology such as vehicle-induced vibration tests (VITs) in contrast with more expensive existing technologies such as tests using hammers or shakers. Ambient vibration tests (AVTs) have been widely used worldwide, taking advantage of freely available ambient excitation sources. However, the literature has commonly reported insufficient input energy to excite the structure to obtain satisfactory modal identification results, especially in long-span concrete bridges. On the other hand, the use of forced vibration tests (FVTs) requires more economic resources. This paper presents the results of field measurements at optimally selected locations in VITs consisting of a 32-ton truck and a springboard with a height of 50 mm. AVTs using optimal sensor placement (OSP) provide similar results to VITs without considering OSP locations. Additionally, the VIT/AVT cost ratio is reduced to 2 since a shorter data collection time is achieved within a one-day (8 h) test framework, which minimizes temperature effects, thus leading to improvements in AVT identification results, especially in vertical modes.
Palavras-chave

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies Idioma: En Revista: Sensors (Basel) Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Colômbia País de publicação: Suíça

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies Idioma: En Revista: Sensors (Basel) Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Colômbia País de publicação: Suíça