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DTSTART:20170629T140000
DTEND:20170629T150000
SUMMARY:DCAMM Seminar - From strong trusses to guided waves: computational challenges in truss metamaterials
DESCRIPTION:<p style="text-align: left;">A DCAMM seminar&nbsp;will be presented by </p>\n<p align="center" style="text-align: center; margin-bottom: 0pt;"><strong><span>Professor Dennis M. Kochmann<br>\nDepartment of Mechanics and Materials<br>\nETH, Z&uuml;rich, Switzerland <br>\nand<br>\nDept. of Aerospace at Caltech, USA</span></strong><strong><span><br>\n<br>\n</span></strong></p>\n<br>\n<p align="center" style="text-align: center; margin-bottom: 0pt;"><strong><span>\n</span></strong>\n<strong style="text-align: justify;"></strong></p>\n<p align="center" style="text-align: justify; margin-bottom: 0pt;"><strong style="text-align: justify;">Abstract</strong><span style="text-align: justify;">:&nbsp;</span><strong> <br>\n<br>\n</strong><span>Recent advances in additive manufacturing have made truss networks a popular architectural tool to engineer new (meta)materials with controllable properties across various scales. By designing the small-scale architecture and geometry of periodic, random or hierarchical networks, the resulting metamaterial can be equipped with beneficial, tunable mechanical properties such as stiffness, strength, and energy absorption. With new opportunities arouse new challenges since state-of-the-art scale-bridging truss networks require new theoretical and computational tools to predict the effective performance. We will discuss two such modeling areas of topical interest and discuss new approaches: First, we will investigate the stiffness and strength of hierarchical nanolattices, and we will highlight theoretical-computational tools to efficiently simulate large networks &ndash; both by coarse-graining the discrete network by quasicontinuum approaches, and by nonlocal homogenization resulting in an effective continuum description. Second, we present a method to efficiently predict wave propagation and energy absorption in truss lattices, which illustrates the shortcomings of most current techniques. Throughout, we aim to reduce the complexity of the problem by appropriate model assumptions, rather than using brute-force calculations.</span></p>\n<p align="center" style="text-align: justify; margin-bottom: 0pt;"><span>&nbsp;\n<br>\n</span></p>\n<p style="text-align: justify;"><span></span><span style="text-align: left;">Danish pastry, coffee and tea will be served 15 minutes before the seminar starts.<br>\n</span><span>&nbsp;&nbsp;</span><br>\nAll interested persons are invited</p>
X-ALT-DESC;FMTTYPE=text/html:<p style="text-align: left;">A DCAMM seminar&nbsp;will be presented by </p>\n<p align="center" style="text-align: center; margin-bottom: 0pt;"><strong><span>Professor Dennis M. Kochmann<br>\nDepartment of Mechanics and Materials<br>\nETH, Z&uuml;rich, Switzerland <br>\nand<br>\nDept. of Aerospace at Caltech, USA</span></strong><strong><span><br>\n<br>\n</span></strong></p>\n<br>\n<p align="center" style="text-align: center; margin-bottom: 0pt;"><strong><span>\n</span></strong>\n<strong style="text-align: justify;"></strong></p>\n<p align="center" style="text-align: justify; margin-bottom: 0pt;"><strong style="text-align: justify;">Abstract</strong><span style="text-align: justify;">:&nbsp;</span><strong> <br>\n<br>\n</strong><span>Recent advances in additive manufacturing have made truss networks a popular architectural tool to engineer new (meta)materials with controllable properties across various scales. By designing the small-scale architecture and geometry of periodic, random or hierarchical networks, the resulting metamaterial can be equipped with beneficial, tunable mechanical properties such as stiffness, strength, and energy absorption. With new opportunities arouse new challenges since state-of-the-art scale-bridging truss networks require new theoretical and computational tools to predict the effective performance. We will discuss two such modeling areas of topical interest and discuss new approaches: First, we will investigate the stiffness and strength of hierarchical nanolattices, and we will highlight theoretical-computational tools to efficiently simulate large networks &ndash; both by coarse-graining the discrete network by quasicontinuum approaches, and by nonlocal homogenization resulting in an effective continuum description. Second, we present a method to efficiently predict wave propagation and energy absorption in truss lattices, which illustrates the shortcomings of most current techniques. Throughout, we aim to reduce the complexity of the problem by appropriate model assumptions, rather than using brute-force calculations.</span></p>\n<p align="center" style="text-align: justify; margin-bottom: 0pt;"><span>&nbsp;\n<br>\n</span></p>\n<p style="text-align: justify;"><span></span><span style="text-align: left;">Danish pastry, coffee and tea will be served 15 minutes before the seminar starts.<br>\n</span><span>&nbsp;&nbsp;</span><br>\nAll interested persons are invited</p>

URL:http://www.dcamm.dk/kalender/2017/06/seminar_no_711
DTSTAMP:20260417T201600Z
UID:{69E302FF-186B-4CE4-A123-78F1BCEEC89B}-20170629T140000-20170629T140000
LOCATION: Room 002, Building 421, Technical University of Denmark
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