LEADER 01305nam--2200373---450- 001 990001024690203316 005 20090203124750.0 035 $a0102469 035 $aUSA010102469 035 $a(ALEPH)000102469USA01 035 $a0102469 100 $a20020311d2001----km-y0itay0103----ba 101 $aita 102 $aIT 105 $ay|||z|||001yy 200 1 $aProfili tecnici ed economici del bilancio dell'impresa di assicurazione$ei contenuti del decreto legislativo 26 maggio 1997, n.173 e la disciplina normativa di settore 210 $aMilano$cGiuffré$dcopyr. 2001 215 $aVIII, 187 p.$d24 cm 225 2 $aQuaderni di impresa assicurativa 410 0$12001$aQuaderni di impresa assicurativa 606 $aCompagnie di assicurazione$xGestione finanziaria 606 $aAssicurazione vita$xPolizze 676 $a657.836 801 0$aIT$bsalbc$gISBD 912 $a990001024690203316 951 $a657.836 PRO 1 (IRA 25 408)$b30278 G.$cIRA$d00078006 959 $aBK 969 $aECO 979 $aANGELA$b90$c20020311$lUSA01$h1052 979 $c20020403$lUSA01$h1743 979 $aPATRY$b90$c20040406$lUSA01$h1711 979 $aRSIAV1$b90$c20090203$lUSA01$h1247 996 $aProfili tecnici ed economici del bilancio dell'impresa di assicurazione$9977381 997 $aUNISA LEADER 01308nam 2200409 450 001 9910554838803321 005 20220928101729.0 010 $a3-527-83638-1 010 $a3-527-83639-X 010 $a3-527-83637-3 035 $a(MiAaPQ)EBC6886050 035 $a(Au-PeEL)EBL6886050 035 $a(CKB)21167526400041 035 $a(EXLCZ)9921167526400041 100 $a20220928d2022 uy 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aLiquid electrolyte chemistry for lithium metal batteries $edesign, mechanisms, strategies /$fJianmin Ma 210 1$aWeinheim, Germany :$cWiley-VCH,$d[2022] 210 4$d©2022 215 $a1 online resource (221 pages) 311 08$aPrint version: Ma, Jianmin Liquid Electrolyte Chemistry for Lithium Metal Batteries Newark : John Wiley & Sons, Incorporated,c2022 9783527350148 606 $aLithium cells 608 $aElectronic books. 615 0$aLithium cells. 676 $a621.312423 700 $aMa$b Jianmin$01219035 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910554838803321 996 $aLiquid Electrolyte Chemistry for Lithium Metal Batteries$92819363 997 $aUNINA LEADER 05654nam 2200685 450 001 9910823353003321 005 20200520144314.0 010 $a1-119-10275-8 010 $a1-119-10304-5 010 $a1-119-10291-X 035 $a(CKB)3710000000366201 035 $a(EBL)1980999 035 $a(SSID)ssj0001468130 035 $a(PQKBManifestationID)11865376 035 $a(PQKBTitleCode)TC0001468130 035 $a(PQKBWorkID)11518728 035 $a(PQKB)10524651 035 $a(MiAaPQ)EBC1980999 035 $a(Au-PeEL)EBL1980999 035 $a(CaPaEBR)ebr11027504 035 $a(CaONFJC)MIL770183 035 $a(OCoLC)905919597 035 $a(PPN)189244445 035 $a(EXLCZ)993710000000366201 100 $a20150312h20152015 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 00$aDiscrete element model and simulation of continuous materials behavior set$hVolume 1$iDiscrete element method to model 3D continuous materials /$fMohamed Jebahi [and three others] 210 1$aLondon, England ;$aHoboken, New Jersey :$ciSTE :$cWiley,$d2015. 210 4$d©2015 215 $a1 online resource (198 p.) 225 1 $aNumerical Methods in Engineering Series 300 $aDescription based upon print version of record. 311 $a1-84821-770-6 320 $aIncludes bibliographical references and index. 327 $aCover; Title Page; Copyright; Contents; List of Figures; List of Tables; Preface; Introduction; I.1. Toward discrete element modeling of continuous materials; I.2. Scope and objective; I.3. Organization; 1: State of the Art: Discrete Element Modeling; 1.1. Introduction; 1.2. Classification of discrete methods; 1.2.1. Quantum mechanical methods; 1.2.2. Atomistic methods; 1.2.3. Mesoscopic discrete methods; 1.2.3.1. Lattice methods; 1.2.3.2. Smooth contact particle methods; 1.2.3.3. Non-smooth contact particle models; 1.2.3.4. Hybrid lattice-particle models 327 $a1.3. Discrete element method for continuous materials1.4. Discrete-continuum transition: macroscopic variables; 1.4.1. Stress tensor for discrete systems; 1.4.2. Strain tensor for discrete systems; 1.4.2.1. Equivalent continuum strains; 1.4.2.2. Best-fit strains; 1.4.2.3. Satake strain; 1.5. Conclusion; 2: Discrete Element Modeling of Mechanical Behavior of Continuous Materials; 2.1. Introduction; 2.2. Explicit dynamic algorithm; 2.3. Construction of the discrete domain; 2.3.1. The cooker compaction algorithm; 2.3.1.1. Stopping criterion of compaction process; 2.3.1.2. Filling process 327 $a2.3.1.3. Overlapping removing2.3.2. Geometrical characterization of the discrete domain; 2.3.2.1. Geometrical isotropy and granulometry; 2.3.2.2. Average coordination number; 2.3.2.3. Discrete domain fineness; 2.4. Mechanical behavior modeling; 2.4.1. Cohesive beam model; 2.4.1.1. Analytical model; 2.4.1.2. Strain energy computation; 2.4.2. Calibration of the cohesive beam static parameters; 2.4.2.1. Quasistatic tensile test description; 2.4.2.1.1. From discrete to continuous geometry; 2.4.2.1.2. Loading; 2.4.2.1.3. EM and ?M computation; 2.4.2.2. Parametric study 327 $a2.4.2.2.1. Microscopic Poisson's ratio influence2.4.2.2.2. Microscopic Young's modulus influence; 2.4.2.2.3. Microscopic radius ratio influence; 2.4.2.3. Calibration method for static parameters; 2.4.2.4. Convergence study; 2.4.2.5. Validation; 2.4.3. Calibration of the cohesive beam dynamic parameters; 2.4.3.1. Calibration method for dynamic parameters; 2.4.3.2. Validation; 2.5. Conclusion; 3: Discrete Element Modeling of Thermal Behavior of Continuous Materials; 3.1. Introduction; 3.2. General description of the method; 3.2.1. Characterization of field variable variation in discrete domain 327 $a3.2.2. Application to heat conduction3.3. Thermal conduction in 3D ordered discrete domains; 3.4. Thermal conduction in 3D disordered discrete domains; 3.4.1. Determination of local parameters for each discrete element; 3.4.2. Calculation of discrete element transmission surface; 3.4.3. Calculation of local volume fraction; 3.4.4. Interactions between each discrete element and its neighbors; 3.5. Validation; 3.5.1. Cylindrical beam in contact with a hot plane; 3.5.2. Dynamically heated sheet; 3.6. Conclusion; 4: Discrete Element Modeling of Brittle Fracture; 4.1. Introduction 327 $a4.2. Fracture model based on the cohesive beam bonds 330 $a Complex behavior models (plasticity, cracks, visco elascticity) face some theoretical difficulties for the determination of the behavior law at the continuous scale. When homogenization fails to give the right behavior law, a solution is to simulate the material at a meso scale in order to simulate directly a set of discrete properties that are responsible of the macroscopic behavior. The discrete element model has been developed for granular material. The proposed set shows how this method is capable to solve the problem of complex behavior that are linked to discrete meso scale effects. 410 0$aNumerical methods in engineering series. 606 $aMaterials$xMathematical models 606 $aDiscrete element method 615 0$aMaterials$xMathematical models. 615 0$aDiscrete element method. 676 $a620.11015118 700 $aJebahi$b Mohamed$01680794 702 $aJebahi$b Mohamed 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910823353003321 996 $aDiscrete element model and simulation of continuous materials behavior set$94109492 997 $aUNINA