dc.contributor.author | Bitarafan, Mahdi | |
dc.contributor.author | Hashemkhani Zolfani,, Sarfazar | |
dc.contributor.author | Lale Arefi, Shahin | |
dc.contributor.author | Zavadskas, Edmundas Kazimieras | |
dc.contributor.author | Mahmoudzadeh, Amir | |
dc.date.accessioned | 2023-09-18T20:10:21Z | |
dc.date.available | 2023-09-18T20:10:21Z | |
dc.date.issued | 2014 | |
dc.identifier.issn | 1822-427X | |
dc.identifier.other | (BIS)VGT02-000029670 | |
dc.identifier.uri | https://etalpykla.vilniustech.lt/handle/123456789/147507 | |
dc.description.abstract | Now a day, earthquake engineers follow subjects such as structural health monitoring, warning announce - ment and prediction rather safe-making in the field of structure. In this regard, these three choices are of great goals of Iran in direction of many studies concentrated on. This research is centralized on real time health monitoring sys - tem of Iran bridges. In this regard, to evaluate smart real time health monitoring sensors, first all different types were determined using the library resources, and then all the important indices in evaluating these sensors were derived by interviewing experts in construction management fields. After that, to continue the survey, questionnaires were given to 18 experts to weight the effective indices. Through a decision-making method using new hybrid methodology based on SWARA and WASPAS, existential necessity degree of all indices and sensors were obtained and eventually the fol - lowing result captured: applying piezoelectric sensors is optimal in smart health monitoring to be used in Iran bridges and optical fiber sensor was recognized as the second optimum option. | eng |
dc.format | PDF | |
dc.format.extent | p. 333-340 | |
dc.format.medium | tekstas / txt | |
dc.language.iso | eng | |
dc.relation.isreferencedby | Index Copernicus | |
dc.relation.isreferencedby | Central & Eastern European Academic Source (CEEAS) | |
dc.relation.isreferencedby | Computers & Applied Sciences Complete | |
dc.relation.isreferencedby | Science Citation Index Expanded (Web of Science) | |
dc.relation.isreferencedby | INSPEC | |
dc.relation.isreferencedby | Scopus | |
dc.source.uri | https://www.researchgate.net/journal/1822-4288_The_Baltic_Journal_of_Road_and_Bridge_Engineering | |
dc.subject | AE01 - Aplinkos sistemos ir aplinkos apsaugos technologijos / Environmental systems and environment protection technologies | |
dc.title | Evaluation of real-time intelligent sensors for structural health monitoring of bridges based on SWARA-WASPAS; a case in Iran | |
dc.type | Straipsnis Web of Science DB / Article in Web of Science DB | |
dcterms.references | 37 | |
dc.type.pubtype | S1 - Straipsnis Web of Science DB / Web of Science DB article | |
dc.contributor.institution | Engineering Research Institution of Shakhes Pajouh, Isfahan, Iran | |
dc.contributor.institution | Amirkabir University of Technology (Tehran Polytechnic), Iran | |
dc.contributor.institution | University of Mohaghegh Ardabili, Iran | |
dc.contributor.institution | Vilniaus Gedimino technikos universitetas | |
dc.contributor.institution | Engineering Research Institution of Natural Disaster Shakhes Pajouh, Isfahan, Iran | |
dc.contributor.faculty | Statybos fakultetas / Faculty of Civil Engineering | |
dc.subject.researchfield | T 004 - Aplinkos inžinerija / Environmental engineering | |
dc.subject.ltspecializations | L106 - Transportas, logistika ir informacinės ir ryšių technologijos (IRT) / Transport, logistic and information and communication technologies | |
dc.subject.en | Real-time intelligent sensors | |
dc.subject.en | Structural health monitoring | |
dc.subject.en | Damage assessment | |
dc.subject.en | SWARA | |
dc.subject.en | WASPAS | |
dcterms.sourcetitle | The Baltic journal of road and bridge engineering | |
dc.description.issue | no. 4 | |
dc.description.volume | vol. 9 | |
dc.publisher.name | Technika | |
dc.publisher.city | Vilnius | |
dc.identifier.doi | 2-s2.0-84961288272 | |
dc.identifier.doi | 000352679100011 | |
dc.identifier.doi | 10.3846/bjrbe.2014.40 | |
dc.identifier.elaba | 4107766 | |