Selection of design variables using complex proportional assessment and analysis of a rear underride protection device
ABAQUS; Automobiles; C (programming language); Energy absorption; Finite element method; Trucks; Complex proportional assessments; Design variables; Fatal accidents; FMVSS 223/224; Passenger compartment; Protection device; Structural behaviour; Termination time; Accidents
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Taylor and Francis Ltd.
2023
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my.uniten.dspace-256112023-05-29T16:11:41Z Selection of design variables using complex proportional assessment and analysis of a rear underride protection device Albahash Z.F. Ansari M.N.M. 57191958880 55489853600 ABAQUS; Automobiles; C (programming language); Energy absorption; Finite element method; Trucks; Complex proportional assessments; Design variables; Fatal accidents; FMVSS 223/224; Passenger compartment; Protection device; Structural behaviour; Termination time; Accidents Road accidents between cars and trucks have the highest fatal accidents ratio because of cars under running beneath trucks which leads to serious and fatal injuries for car�s occupants. The improper design of the underride guard system for trucks fails to prevent passengers of small vehicles from fatal injuries in collision with rear of heavy trucks. This research developed a new rear underride protection device for heavy trucks. Five design concepts are developed for the basic part of the underride guard device. Complex proportional assessment method was used to select the best design concept, while finite element analyses software ABAQUS was used to simulate and examine the structural behaviour of the underride guard (design A) comparing with the basic underride guard (design C). The simulation is specified a termination time 0.2 sec, where simple rigid plate is used as impactor with speed of 63 km/h before hitting the underride guard assembly in the truck. The FMVSS 223/224 regulations were utilised to validate the developed underride guard. The results showed that design (A) achieved the goal of decreasing the acceleration to (15.83 g) beyond the limits (60 g), enhanced the energy absorption by 88.32%, and accomplished minimal passenger compartment intrusion. � 2019, � 2019 Informa UK Limited, trading as Taylor & Francis Group. Final 2023-05-29T08:11:41Z 2023-05-29T08:11:41Z 2020 Article 10.1080/13588265.2018.1511232 2-s2.0-85061183662 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85061183662&doi=10.1080%2f13588265.2018.1511232&partnerID=40&md5=c2e6d250488c73f37770460f9919bfdb https://irepository.uniten.edu.my/handle/123456789/25611 25 1 1 8 Taylor and Francis Ltd. Scopus |
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ABAQUS; Automobiles; C (programming language); Energy absorption; Finite element method; Trucks; Complex proportional assessments; Design variables; Fatal accidents; FMVSS 223/224; Passenger compartment; Protection device; Structural behaviour; Termination time; Accidents |
| author2 |
57191958880 |
| author_facet |
57191958880 Albahash Z.F. Ansari M.N.M. |
| format |
Article |
| author |
Albahash Z.F. Ansari M.N.M. |
| spellingShingle |
Albahash Z.F. Ansari M.N.M. Selection of design variables using complex proportional assessment and analysis of a rear underride protection device |
| author_sort |
Albahash Z.F. |
| title |
Selection of design variables using complex proportional assessment and analysis of a rear underride protection device |
| title_short |
Selection of design variables using complex proportional assessment and analysis of a rear underride protection device |
| title_full |
Selection of design variables using complex proportional assessment and analysis of a rear underride protection device |
| title_fullStr |
Selection of design variables using complex proportional assessment and analysis of a rear underride protection device |
| title_full_unstemmed |
Selection of design variables using complex proportional assessment and analysis of a rear underride protection device |
| title_sort |
selection of design variables using complex proportional assessment and analysis of a rear underride protection device |
| publisher |
Taylor and Francis Ltd. |
| publishDate |
2023 |
| _version_ |
1806426397422387200 |
| score |
13.211869 |