2010
DOI: 10.1016/j.ssci.2009.09.003
|View full text |Cite
|
Sign up to set email alerts
|

Analysis of running child pedestrians impacted by a vehicle using rigid-body models and optimization techniques

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

1
18
0
1

Year Published

2010
2010
2019
2019

Publication Types

Select...
8

Relationship

2
6

Authors

Journals

citations
Cited by 48 publications
(20 citation statements)
references
References 22 publications
1
18
0
1
Order By: Relevance
“…49,54 Since the strain rate effect of bone is not well-understood, more mechanical tests (e.g., coupon tests 25 ) in various loading (compression, tension, and shear) and rates are recommended. Using these new test data, parameters of an existing material model with strain-rate effect could be identified using FE simulations and optimization 53,56 or a new material model can be defined in FE software. 23 These strain rate dependent material models will definitely extend the applicability range of the bone models from automotive applications towards quasi-static and blast loadings which correspond to lower and higher deformation rates than those observed in automotive impacts.…”
Section: Discussionmentioning
confidence: 99%
“…49,54 Since the strain rate effect of bone is not well-understood, more mechanical tests (e.g., coupon tests 25 ) in various loading (compression, tension, and shear) and rates are recommended. Using these new test data, parameters of an existing material model with strain-rate effect could be identified using FE simulations and optimization 53,56 or a new material model can be defined in FE software. 23 These strain rate dependent material models will definitely extend the applicability range of the bone models from automotive applications towards quasi-static and blast loadings which correspond to lower and higher deformation rates than those observed in automotive impacts.…”
Section: Discussionmentioning
confidence: 99%
“…The WBIM was evaluated using the customized Excel TM routine and minimization of WBIM was defined as the optimization objective function. A multi-objective genetic algorithm (MOGA) was used to adapt the initial design populations over successive generations Untaroiu et al, 2009Untaroiu et al, , 2010 Since the problem in hand consisted of four design variables and a single objective function, a relatively coarse mesh of initial population produced the global objective solution without considerations into Pareto solution sets. The convergence to a uni-modal solution in the given design space required an initial population of 20 designs sets adapted over 30 generations for each of the restraint optimizations.…”
Section: Appendix B Restraint Optimization Routinementioning
confidence: 99%
“…However, the applicability of these algorithms in complex optimisation problems is limited due to several shortcomings: (1) requirement of a huge computational effort to make a complete search of the design space, (2) difficulties for some algorithms to identify when the global minimum was achieved and to stop searching [18] and (3) specific format of optimisation problem required to be numerically implemented (cf, semi-definite programming techniques noted in [27]). Therefore, engineering optimisation problems having complex mathematical models such as FE models [5,32] and multi-body models [31,33] are usually solved using heuristics algorithms. While these algorithms cannot guarantee reaching the optimal solution, they can find a good solution possibly close to the global optimum by examining a large discrete configuration space in a reasonable time frame.…”
Section: Materials Identification and Sensitivity Study Of A Cortical mentioning
confidence: 99%