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Analysis of enhanced damage locating vector (edlv) on truss structure
https://orcid.org/http://orcid.org/0000-0002-0415-7457
https://orcid.org/http://orcid.org/0000-0002-7290-678X
The damage locating vector (DLV) is a popular second-level method for hazardous detection on truss structures, despite having limitations that can cause the misidentification of damaged parts. Some of these limitations may be attributed to sensors, damaged structural parts, and complex systems. Therefore, this study proposes a new damage detection technique known as EDLV (i.e., enhanced DLV) to resolve these truss structure problems. This technique is considered a third-level method due to its ability to obtain the stiffness/strength reduction of a damaged part. EDLV is a technique that combines DLV with an optimization algorithm to “enhance” the ability of DLV technique. To investigate the capability of EDLV, two plane truss structures with several damage scenarios were considered (i.e., single damage, double damages, triple damages and multiple damages). The results showed that EDLV was more robust for locating damaged parts than DLV. In addition to determining the proper damage locations on these parts, EDLV also precisely prioritized their corresponding stiffness reductions.
Analysis of enhanced damage locating vector (edlv) on truss structure
https://orcid.org/http://orcid.org/0000-0002-0415-7457
https://orcid.org/http://orcid.org/0000-0002-7290-678X
The damage locating vector (DLV) is a popular second-level method for hazardous detection on truss structures, despite having limitations that can cause the misidentification of damaged parts. Some of these limitations may be attributed to sensors, damaged structural parts, and complex systems. Therefore, this study proposes a new damage detection technique known as EDLV (i.e., enhanced DLV) to resolve these truss structure problems. This technique is considered a third-level method due to its ability to obtain the stiffness/strength reduction of a damaged part. EDLV is a technique that combines DLV with an optimization algorithm to “enhance” the ability of DLV technique. To investigate the capability of EDLV, two plane truss structures with several damage scenarios were considered (i.e., single damage, double damages, triple damages and multiple damages). The results showed that EDLV was more robust for locating damaged parts than DLV. In addition to determining the proper damage locations on these parts, EDLV also precisely prioritized their corresponding stiffness reductions.
Analysis of enhanced damage locating vector (edlv) on truss structure
https://orcid.org/http://orcid.org/0000-0002-0415-7457
https://orcid.org/http://orcid.org/0000-0002-7290-678X
The damage locating vector (DLV) is a popular second-level method for hazardous detection on truss structures, despite having limitations that can cause the misidentification of damaged parts. Some of these limitations may be attributed to sensors, damaged structural parts, and complex systems. Therefore, this study proposes a new damage detection technique known as EDLV (i.e., enhanced DLV) to resolve these truss structure problems. This technique is considered a third-level method due to its ability to obtain the stiffness/strength reduction of a damaged part. EDLV is a technique that combines DLV with an optimization algorithm to “enhance” the ability of DLV technique. To investigate the capability of EDLV, two plane truss structures with several damage scenarios were considered (i.e., single damage, double damages, triple damages and multiple damages). The results showed that EDLV was more robust for locating damaged parts than DLV. In addition to determining the proper damage locations on these parts, EDLV also precisely prioritized their corresponding stiffness reductions.
Analysis of enhanced damage locating vector (edlv) on truss structure
Asian J Civ Eng
Frans, Richard (Autor:in) / Arfiadi, Yoyong (Autor:in)
Asian Journal of Civil Engineering ; 24 ; 2879-2892
01.12.2023
14 pages
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
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