2013
DOI: 10.1111/mice.12044
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Analytical Model for Estimation of Maximum Normal Stress in Steel Beam‐Columns Based on Wireless Measurement of Average Strains from Vibrating Wire Strain Gages

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Cited by 24 publications
(20 citation statements)
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“…e vibrating wire strain gauge (VWSG) [16,17] and crack reopening method [18,19] are two kinds of methods to measure the existing prestressed structures. VWSG is a nondestructive technique; however, crack reopening method to detect existing stress is a semidestructive method.…”
Section: Introductionmentioning
confidence: 99%
“…e vibrating wire strain gauge (VWSG) [16,17] and crack reopening method [18,19] are two kinds of methods to measure the existing prestressed structures. VWSG is a nondestructive technique; however, crack reopening method to detect existing stress is a semidestructive method.…”
Section: Introductionmentioning
confidence: 99%
“…Researches on structural health monitoring for various structures, including machinery, civil structures, and buildings, have been actively carried out (Park et al., ; Boller, ; Sanayei et al., ; Park et al., ) to ensure the safety of these structures. The safety of a structure is assessed by identifying the state of the structure after installing sensors to measure its responses (Adeli and Saleh, , ; Hampshire and Adeli, ; Park et al., ; Jiang and Adeli, , b; Fisco and Adeli, , b; Lee and Park, ; El‐Khoury and Adeli, ; Lee et al., ; Park et al., ). However, it is difficult to identify the global behaviors of a structure using the measured responses with a limited number of sensors deployed at a structure.…”
Section: Introductionmentioning
confidence: 99%
“…Sensor-based structural health monitoring (SHM) studies for assessing the safety of building structures are actively ongoing. Research has been carried out at the structural member level [1][2][3] and the entire system level of the building structure [3,4] using various sensors. The results are then applied to real buildings to assess their safety.…”
Section: Introductionmentioning
confidence: 99%