PUMA publications for /tag/finite%20adaptivity,https://puma.ub.uni-stuttgart.de/tag/finite%20adaptivity,PUMA RSS feed for /tag/finite%20adaptivity,2024-03-28T13:46:35+01:00Using influence matrices as a design and analysis tool for adaptive truss and beam structureshttps://puma.ub.uni-stuttgart.de/bibtex/25c6ea7f8c8a7a8d5be302512fbf6ca16/jmuellerjmueller2023-11-27T15:10:57+01:00actuator adaptivity, element finite influence matrices, method optimization, placement, sensitivity, sobek typology, <span data-person-type="author" class="authorEditorList "><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Simon Steffen" itemprop="url" href="/person/10663fb28e392e08532a9adb072a84ae7/author/0"><span itemprop="name">S. Steffen</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Stefanie Weidner" itemprop="url" href="/person/10663fb28e392e08532a9adb072a84ae7/author/1"><span itemprop="name">S. Weidner</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Lucio Blandini" itemprop="url" href="/person/10663fb28e392e08532a9adb072a84ae7/author/2"><span itemprop="name">L. Blandini</span></a></span>, </span> and <span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Werner Sobek" itemprop="url" href="/person/10663fb28e392e08532a9adb072a84ae7/author/3"><span itemprop="name">W. Sobek</span></a></span></span>. </span><span class="additional-entrytype-information"><span itemtype="http://schema.org/PublicationIssue" itemscope="itemscope" itemprop="isPartOf"><em><span itemprop="journal">Frontiers in Built Environment</span>, </em> </span>(<em><span>2020<meta content="2020" itemprop="datePublished"/></span></em>)</span>Mon Nov 27 15:10:57 CET 2023Frontiers in Built EnvironmentPaper 83Using influence matrices as a design and analysis tool for adaptive truss and beam structures62020actuator adaptivity, element finite influence matrices, method optimization, placement, sensitivity, sobek typology, Due to the already high and still increasing resource consumption of the building industry, the imminent scarcity of certain building materials and the occurring climate change, new resource- and emission-efficient building technologies need to be developed. This
need for new technologies is further amplified by the continuing growth of the human population. One possible solution proposed by researchers at the University of Stuttgart, and which is currently further examined in the context of the Collaborative Research
Centre (SFB) 1244 Adaptive Skins and Structures for the Built Environment of Tomorrow is that of adaptivity. The integration of sensors, actuators, and a control unit enables structures to react specifically to external loads, when needed (e.g., in the case of high but rare loads). For example, adaptivity in load-bearing structures allows for a reduction
of deflections or a homogenization of stresses. This in its turn allows for ultra-lightweight structures with significantly reduced material consumption and emissions. To reach ultra-lightweight structures, i.e., adaptive load-bearing structures, two key questions need to
be answered. First, the question of optimal actuator placement and, second, which type of typology (truss, frame, etc.) is most effective. One approach for finding the optimal
configuration is that of the so-called influence matrices. Influence matrices, as introduced in this paper, are a type of sensitivity matrix, which describe how and to which extend various properties of a given load-bearing structure can be influenced by different types of actuation principles. The method of influence matrices is exemplified by a series of studies on different configurations of a truss structure.A posteriori error estimates with point sources in fractional sobolev
spaceshttps://puma.ub.uni-stuttgart.de/bibtex/2a795baaf1eb095e7f7ab84a05f884ad8/mathematikmathematik2018-07-20T10:55:02+02:00Dirac Sobolev a adaptivity, element error estimators, finite fractional from:mhartmann ians mass, methods, posteriori spaces vorlaeufig <span data-person-type="author" class="authorEditorList "><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="F. D. Gaspoz" itemprop="url" href="/person/1fea501ed2a4ad0de2f63886c01491c60/author/0"><span itemprop="name">F. Gaspoz</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="P. Morin" itemprop="url" href="/person/1fea501ed2a4ad0de2f63886c01491c60/author/1"><span itemprop="name">P. Morin</span></a></span>, </span> and <span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="A. Veeser" itemprop="url" href="/person/1fea501ed2a4ad0de2f63886c01491c60/author/2"><span itemprop="name">A. Veeser</span></a></span></span>. </span><span class="additional-entrytype-information"><span itemtype="http://schema.org/PublicationIssue" itemscope="itemscope" itemprop="isPartOf"><em><span itemprop="journal">Numerical Methods for Partial Differential Equations</span>, </em> <em><span itemtype="http://schema.org/PublicationVolume" itemscope="itemscope" itemprop="isPartOf"><span itemprop="volumeNumber">33 </span></span>(<span itemprop="issueNumber">4</span>):
<span itemprop="pagination">1018--1042</span></em> </span>(<em><span>2017<meta content="2017" itemprop="datePublished"/></span></em>)</span>Fri Jul 20 10:55:02 CEST 2018Numerical Methods for Partial Differential Equations41018--1042A posteriori error estimates with point sources in fractional sobolev
spaces332017Dirac Sobolev a adaptivity, element error estimators, finite fractional from:mhartmann ians mass, methods, posteriori spaces vorlaeufig A convergent time-space adaptive $dG(s)$ finite element method for
parabolic problems motivated by equal error distributionhttps://puma.ub.uni-stuttgart.de/bibtex/24276d5a0313937597a16f8ab9f50ce70/mathematikmathematik2018-07-20T10:54:52+02:00a adaptivity, convergence, element equation error estimators, finite from:mhartmann heat ians methods, posteriori vorlaeufig <span data-person-type="author" class="authorEditorList "><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="F. D. Gaspoz" itemprop="url" href="/person/1590acae3fb93ecdb48f22ba922444179/author/0"><span itemprop="name">F. Gaspoz</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="C. Kreuzer" itemprop="url" href="/person/1590acae3fb93ecdb48f22ba922444179/author/1"><span itemprop="name">C. Kreuzer</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="K. Siebert" itemprop="url" href="/person/1590acae3fb93ecdb48f22ba922444179/author/2"><span itemprop="name">K. Siebert</span></a></span>, </span> and <span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="D. Ziegler" itemprop="url" href="/person/1590acae3fb93ecdb48f22ba922444179/author/3"><span itemprop="name">D. Ziegler</span></a></span></span>. </span><span class="additional-entrytype-information">(<em><span>2017<meta content="2017" itemprop="datePublished"/></span></em>)</span>Fri Jul 20 10:54:52 CEST 2018SubmittedA convergent time-space adaptive $dG(s)$ finite element method for
parabolic problems motivated by equal error distribution2017a adaptivity, convergence, element equation error estimators, finite from:mhartmann heat ians methods, posteriori vorlaeufig A posteriori error estimates with point sources in fractional sobolev
spaceshttps://puma.ub.uni-stuttgart.de/bibtex/2a795baaf1eb095e7f7ab84a05f884ad8/mhartmannmhartmann2018-07-20T10:54:15+02:00Dirac Sobolev a adaptivity, element error estimators, finite fractional mass, methods, posteriori spaces vorlaeufig <span data-person-type="author" class="authorEditorList "><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="F. D. Gaspoz" itemprop="url" href="/person/1fea501ed2a4ad0de2f63886c01491c60/author/0"><span itemprop="name">F. Gaspoz</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="P. Morin" itemprop="url" href="/person/1fea501ed2a4ad0de2f63886c01491c60/author/1"><span itemprop="name">P. Morin</span></a></span>, </span> and <span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="A. Veeser" itemprop="url" href="/person/1fea501ed2a4ad0de2f63886c01491c60/author/2"><span itemprop="name">A. Veeser</span></a></span></span>. </span><span class="additional-entrytype-information"><span itemtype="http://schema.org/PublicationIssue" itemscope="itemscope" itemprop="isPartOf"><em><span itemprop="journal">Numerical Methods for Partial Differential Equations</span>, </em> <em><span itemtype="http://schema.org/PublicationVolume" itemscope="itemscope" itemprop="isPartOf"><span itemprop="volumeNumber">33 </span></span>(<span itemprop="issueNumber">4</span>):
<span itemprop="pagination">1018--1042</span></em> </span>(<em><span>2017<meta content="2017" itemprop="datePublished"/></span></em>)</span>Fri Jul 20 10:54:15 CEST 2018Numerical Methods for Partial Differential Equations41018--1042A posteriori error estimates with point sources in fractional sobolev
spaces332017Dirac Sobolev a adaptivity, element error estimators, finite fractional mass, methods, posteriori spaces vorlaeufig A convergent time-space adaptive $dG(s)$ finite element method for
parabolic problems motivated by equal error distributionhttps://puma.ub.uni-stuttgart.de/bibtex/24276d5a0313937597a16f8ab9f50ce70/mhartmannmhartmann2018-07-20T10:54:15+02:00a adaptivity, convergence, element equation error estimators, finite heat methods, posteriori vorlaeufig <span data-person-type="author" class="authorEditorList "><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="F. D. Gaspoz" itemprop="url" href="/person/1590acae3fb93ecdb48f22ba922444179/author/0"><span itemprop="name">F. Gaspoz</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="C. Kreuzer" itemprop="url" href="/person/1590acae3fb93ecdb48f22ba922444179/author/1"><span itemprop="name">C. Kreuzer</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="K. Siebert" itemprop="url" href="/person/1590acae3fb93ecdb48f22ba922444179/author/2"><span itemprop="name">K. Siebert</span></a></span>, </span> and <span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="D. Ziegler" itemprop="url" href="/person/1590acae3fb93ecdb48f22ba922444179/author/3"><span itemprop="name">D. Ziegler</span></a></span></span>. </span><span class="additional-entrytype-information">(<em><span>2017<meta content="2017" itemprop="datePublished"/></span></em>)</span>Fri Jul 20 10:54:15 CEST 2018SubmittedA convergent time-space adaptive $dG(s)$ finite element method for
parabolic problems motivated by equal error distribution2017a adaptivity, convergence, element equation error estimators, finite heat methods, posteriori vorlaeufig