LEADER 02087nam 2200457z- 450 001 9910347050603321 005 20210211 010 $a1000042280 035 $a(CKB)4920000000102010 035 $a(oapen)https://directory.doabooks.org/handle/20.500.12854/54922 035 $a(oapen)doab54922 035 $a(EXLCZ)994920000000102010 100 $a20202102d2014 |y 0 101 0 $aeng 135 $aurmn|---annan 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$aNumerically Efficient Gradient Crystal Plasticity with a Grain Boundary Yield Criterion and Dislocation-based Work-Hardening 210 $cKIT Scientific Publishing$d2014 215 $a1 online resource (XIII, 260 p. p.) 225 1 $aSchriftenreihe Kontinuumsmechanik im Maschinenbau / Karlsruher Institut für Technologie, Institut für Technische Mechanik - Bereich Kontinuumsmechanik 311 08$a3-7315-0245-3 330 $aThis book is a contribution to the further development of gradient plasticity. Several open questions are addressed, where the efficient numerical implementation is particularly focused on. Thebook inspects an equivalent plastic strain gradient plasticity theory and a grain boundary yield model. Experiments can successfully be reproduced. The hardening model is based on dislocation densities evolving according to partial differential equations taking into account dislocation transport. 606 $aTechnology: general issues$2bicssc 610 $acrystals 610 $aDislocations 610 $aGro?ßeneffekt 610 $ahardening 610 $aKristalle 610 $aplasticity 610 $aPlastizita?t 610 $asize effect 610 $aVerfestigung 610 $aVersetzungen 615 7$aTechnology: general issues 700 $aWulfinghoff$b Stephan$4auth$01296126 906 $aBOOK 912 $a9910347050603321 996 $aNumerically Efficient Gradient Crystal Plasticity with a Grain Boundary Yield Criterion and Dislocation-based Work-Hardening$93023785 997 $aUNINA LEADER 03365nam 2200721z- 450 001 9910557433203321 005 20210501 035 $a(CKB)5400000000043391 035 $a(oapen)https://directory.doabooks.org/handle/20.500.12854/69020 035 $a(oapen)doab69020 035 $a(EXLCZ)995400000000043391 100 $a20202105d2020 |y 0 101 0 $aeng 135 $aurmn|---annan 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$aDemand-Response in Smart Buildings 210 $aBasel, Switzerland$cMDPI - Multidisciplinary Digital Publishing Institute$d2020 215 $a1 online resource (112 p.) 311 08$a3-03928-266-2 311 08$a3-03928-267-0 330 $aThis book represents the Special Issue of Energies, entitled "Demand-Response in Smart Buildings", that was published in the section "Energy and Buildings". This Special Issue is a collection of original scientific contributions and review papers that deal with smart buildings and communities. Demand response (DR) offers the capability to apply changes in the energy usage of consumers-from their normal consumption patterns-in response to changes in energy pricing over time. This leads to a lower energy demand during peak hours or during periods when an electricity grid's reliability is put at risk. Therefore, demand response is a reduction in demand designed to reduce peak load or avoid system emergencies. Hence, demand response can be more cost-effective than adding generation capabilities to meet the peak and/or occasional demand spikes. The underlying objective of DR is to actively engage customers in modifying their consumption in response to pricing signals. Demand response is expected to increase energy market efficiency and the security of supply, which will ultimately benefit customers by way of options for managing their electricity costs leading to reduced environmental impact. 606 $aHistory of engineering and technology$2bicssc 610 $aartificial neural network 610 $acloud computing 610 $ademand response 610 $aelectrification in the built environment 610 $aenergy efficiency 610 $aenergy flexibility 610 $aenergy management 610 $aenergy resource 610 $aenergy security 610 $aenergy sources 610 $afog computing 610 $agenetic algorithm 610 $aIndia 610 $alow-carbon mobility 610 $amicrogrid 610 $aoptimisation 610 $apower predictions 610 $aprocessing time 610 $arequests time 610 $aresidential consumption 610 $aresource allocation 610 $aresponse time 610 $aretrofitting interventions 610 $aSlovakia 610 $asmart cities 610 $asmart energy management 610 $asmart grid 610 $awater-energy nexus 615 7$aHistory of engineering and technology 700 $aKolokotsa$b Denia$4edt$0896531 702 $aPignatta$b Gloria$4edt 702 $aGobakis$b Kostas$4edt 702 $aKolokotsa$b Denia$4oth 702 $aPignatta$b Gloria$4oth 702 $aGobakis$b Kostas$4oth 906 $aBOOK 912 $a9910557433203321 996 $aDemand-Response in Smart Buildings$93033870 997 $aUNINA