Matches in SemOpenAlex for { <https://semopenalex.org/work/W2969679559> ?p ?o ?g. }
- W2969679559 endingPage "5411" @default.
- W2969679559 startingPage "5392" @default.
- W2969679559 abstract "By combining load adaptive algorithms with mechanobiological algorithms, a computational framework was developed to design and optimize the microarchitecture of irregular load adapted scaffolds for bone tissue engineering. Skeletonized cancellous bone-inspired lattice structures were built including linear fibers oriented along the internal flux of forces induced by the hypothesized boundary conditions. These structures were then converted into solid finite element models, which were optimized with mechanobiology-based optimization algorithms. The design variable was the diameter of the beams included in the scaffold, while the design objective was the maximization of the fraction of the scaffold volume predicted to be occupied by neo-formed bony tissue. The performance of the designed irregular scaffolds, intended as the capability to favor the formation of bone, was compared with that of the regular ones based on different unit cell geometries. Three different boundary and loading conditions were hypothesized, and for all of them, it was found that the irregular load adapted scaffolds perform better than the regular ones. Interestingly, the numerical predictions of the proposed framework are consistent with the results of experimental studies reported in the literature. The proposed framework appears to be a powerful tool that can be utilized to design high-performance irregular load adapted scaffolds capable of bearing complex load distributions." @default.
- W2969679559 created "2019-08-29" @default.
- W2969679559 creator A5008677280 @default.
- W2969679559 creator A5025791241 @default.
- W2969679559 creator A5036556421 @default.
- W2969679559 creator A5040410426 @default.
- W2969679559 creator A5045323705 @default.
- W2969679559 creator A5066660127 @default.
- W2969679559 creator A5068553143 @default.
- W2969679559 creator A5068854935 @default.
- W2969679559 creator A5071001598 @default.
- W2969679559 creator A5073431059 @default.
- W2969679559 date "2019-08-22" @default.
- W2969679559 modified "2023-10-16" @default.
- W2969679559 title "Irregular Load Adapted Scaffold Optimization: A Computational Framework Based on Mechanobiological Criteria" @default.
- W2969679559 cites W1596048721 @default.
- W2969679559 cites W160533194 @default.
- W2969679559 cites W1964193834 @default.
- W2969679559 cites W1965789013 @default.
- W2969679559 cites W1970756208 @default.
- W2969679559 cites W1981338745 @default.
- W2969679559 cites W1984589322 @default.
- W2969679559 cites W1985848365 @default.
- W2969679559 cites W1987139750 @default.
- W2969679559 cites W1992957889 @default.
- W2969679559 cites W1998631739 @default.
- W2969679559 cites W2010751506 @default.
- W2969679559 cites W2012383343 @default.
- W2969679559 cites W2018482807 @default.
- W2969679559 cites W2030663143 @default.
- W2969679559 cites W2030887300 @default.
- W2969679559 cites W2035966549 @default.
- W2969679559 cites W2037399020 @default.
- W2969679559 cites W2042581802 @default.
- W2969679559 cites W2043840576 @default.
- W2969679559 cites W2045985308 @default.
- W2969679559 cites W2050577276 @default.
- W2969679559 cites W2055453264 @default.
- W2969679559 cites W2056104115 @default.
- W2969679559 cites W2070889971 @default.
- W2969679559 cites W2072299958 @default.
- W2969679559 cites W2086010173 @default.
- W2969679559 cites W2094690031 @default.
- W2969679559 cites W2100334671 @default.
- W2969679559 cites W2107034380 @default.
- W2969679559 cites W2109657122 @default.
- W2969679559 cites W2111312751 @default.
- W2969679559 cites W2114276548 @default.
- W2969679559 cites W2148125738 @default.
- W2969679559 cites W2148381252 @default.
- W2969679559 cites W2151613878 @default.
- W2969679559 cites W2169884717 @default.
- W2969679559 cites W2191056926 @default.
- W2969679559 cites W2195936501 @default.
- W2969679559 cites W2201141130 @default.
- W2969679559 cites W2212015956 @default.
- W2969679559 cites W2239565179 @default.
- W2969679559 cites W2244760409 @default.
- W2969679559 cites W2290591379 @default.
- W2969679559 cites W2346121131 @default.
- W2969679559 cites W2403621207 @default.
- W2969679559 cites W2497474722 @default.
- W2969679559 cites W2507943748 @default.
- W2969679559 cites W2528920544 @default.
- W2969679559 cites W2533214642 @default.
- W2969679559 cites W2533394841 @default.
- W2969679559 cites W2574982461 @default.
- W2969679559 cites W2585490800 @default.
- W2969679559 cites W2611143088 @default.
- W2969679559 cites W2615301342 @default.
- W2969679559 cites W2626739849 @default.
- W2969679559 cites W2760074815 @default.
- W2969679559 cites W2765715384 @default.
- W2969679559 cites W2774085282 @default.
- W2969679559 cites W2793390851 @default.
- W2969679559 cites W2798114215 @default.
- W2969679559 cites W2889562668 @default.
- W2969679559 cites W2889584361 @default.
- W2969679559 cites W997987789 @default.
- W2969679559 doi "https://doi.org/10.1021/acsbiomaterials.9b01023" @default.
- W2969679559 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/33464060" @default.
- W2969679559 hasPublicationYear "2019" @default.
- W2969679559 type Work @default.
- W2969679559 sameAs 2969679559 @default.
- W2969679559 citedByCount "15" @default.
- W2969679559 countsByYear W29696795592020 @default.
- W2969679559 countsByYear W29696795592021 @default.
- W2969679559 countsByYear W29696795592022 @default.
- W2969679559 countsByYear W29696795592023 @default.
- W2969679559 crossrefType "journal-article" @default.
- W2969679559 hasAuthorship W2969679559A5008677280 @default.
- W2969679559 hasAuthorship W2969679559A5025791241 @default.
- W2969679559 hasAuthorship W2969679559A5036556421 @default.
- W2969679559 hasAuthorship W2969679559A5040410426 @default.
- W2969679559 hasAuthorship W2969679559A5045323705 @default.
- W2969679559 hasAuthorship W2969679559A5066660127 @default.
- W2969679559 hasAuthorship W2969679559A5068553143 @default.
- W2969679559 hasAuthorship W2969679559A5068854935 @default.