001452780 000__ 06577cam\a2200625\a\4500
001452780 001__ 1452780
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001452780 019__ $$a1334100039
001452780 020__ $$a9783031077463$$q(electronic bk.)
001452780 020__ $$a3031077466$$q(electronic bk.)
001452780 020__ $$z3031077458
001452780 020__ $$z9783031077456
001452780 0247_ $$a10.1007/978-3-031-07746-3$$2doi
001452780 035__ $$aSP(OCoLC)1334887222
001452780 040__ $$aEBLCP$$beng$$epn$$cEBLCP$$dGW5XE$$dYDX$$dOCLCF$$dOCLCQ
001452780 049__ $$aISEA
001452780 050_4 $$aTA681
001452780 08204 $$a624.1/834$$223/eng/20220712
001452780 1112_ $$aRILEM International Conference on Numerical Modeling Strategies for Sustainable Concrete Structures$$d(2022 :$$cMarseille, France)
001452780 24510 $$aNumerical modeling strategies for sustainable concrete structures :$$bSSCS 2022 /$$cPierre Rossi, Jean-Louis Tailhan, editors.
001452780 2463_ $$aSSCS 2022
001452780 260__ $$aCham :$$bSpringer,$$c[2023]
001452780 300__ $$a1 online resource (397 pages)
001452780 336__ $$atext$$btxt$$2rdacontent
001452780 337__ $$acomputer$$bc$$2rdamedia
001452780 338__ $$aonline resource$$bcr$$2rdacarrier
001452780 4901_ $$aRILEM Bookseries ;$$vv. 38
001452780 500__ $$a2.2 Finite Element (FE) Model
001452780 500__ $$aIncludes author index.
001452780 5050_ $$aIntro -- Preface -- Contents -- RILEM Publications -- RILEM Proceedings (PRO) -- RILEM Reports (REP) -- Artificial Neural Network-Based Methodology for Optimization of Low-Cost Green UHPFRC Under Ductility Requirements -- 1 Introduction -- 1.1 Motivation -- 1.2 UHPFRC -- 2 Methodology -- 2.1 Artificial Neural Networks -- 2.2 Multi-objective Optimization -- 2.3 Design of Experiments (DoE) -- 2.4 Materials and Experimental Procedures -- 3 Results -- 3.1 UHPC Cementitious Matrix -- 3.2 UHPFRC -- 4 Conclusions -- References
001452780 5058_ $$aLong Term Prediction of the Delayed Behavior of Concrete Structures -- The Case of the VERCORS Mock-Up -- 1 Introduction -- 2 Modelling of Delayed Strains -- 2.1 EC2 Equations for Creep and Shrinkage -- 2.2 Influence of Temperature on Creep and Shrinkage -- 2.3 Comparison with Laboratory Tests -- 2.4 Relaxation -- 3 Modelling of the Containment -- 3.1 General Considerations -- 3.2 In-Situ Measurements -- 3.3 Comparison Between Modelling and In-Situ Measurements -- 3.4 Discussion of the Results -- 4 Conclusions -- References
001452780 5058_ $$aHPC Finite Element Solvers for Phase-Field Models for Fracture in Solids -- 1 Introduction -- 2 Mathematical Formulations -- 2.1 Model Formulation -- 2.2 Finite Element Formulation -- 3 Parallelization -- 4 Numerical Experiments -- 5 Conclusion -- References -- Integrating Hybrid Reinforced Concrete Technology and Advanced FEM-Based Numerical Modelling for Crack Control in Long Concrete Foundations Without Joints -- 1 Introduction -- 2 Experimental Study -- 2.1 Material Characterization -- 2.2 Measurement of Temperature Evolution in the HRC Foundation -- 3 Numerical Study
001452780 5058_ $$a3.1 Calibration of Thermal Model Parameters -- 3.2 Derivation of FRC Stress-Crack Width Relationship -- 3.3 Assessment of Cracking Risk of the Structure Since Early Ages -- 4 Conclusions -- References -- Multi-physical Simulation of Concrete Hydraulic Facilities Affected by Alkali-Aggregate Reaction: From Material to Structure -- 1 Introduction -- 2 Experimental Characterization Program -- 2.1 Size Effects -- 2.2 Asymptotic Fracture Energy -- 2.3 AAR Free Expansion -- 2.4 Results -- 3 Constitutive Modelling -- 3.1 Computational Framework -- 3.2 V & V -- 4 Application at the Facility Level
001452780 5058_ $$a5 Conclusions -- References -- Biaxial Interaction Diagrams of a RC Section at Elevated Temperatures -- 1 Introduction -- 2 Material Strength Properties at Elevated Temperature -- 3 Yield Design Auxiliary Problem -- 4 Lower Bound Static Approach -- 5 Numerical Examples -- 6 Comparison with Available Experimental Results -- 7 Conclusion -- References -- Probabilistic Modelling of Containment Building Leakage at the Structural Scale: Application to the PACE Mock-Up -- 1 Introduction -- 2 Deterministic Leakage Prediction of a Structural Representative Volume -- 2.1 PACE Mock-Up Brief Description
001452780 506__ $$aAccess limited to authorized users.
001452780 520__ $$aThis volume highlights the latest advances, innovations, and applications in the field of sustainable concrete structures, as presented by scientists and engineers at the RILEM International Conference on Numerical Modeling Strategies for Sustainable Concrete Structures (SSCS), held in Marseille, France, on July 4-6, 2022. It demonstrates that numerical methods (finite elements, finite volumes, finite differences) are a relevant response to the challenge to optimize the utilization of cement in concrete constructions while checking that these constructions have a lifespan compatible with the stakes of sustainable development. They are indeed accurate tools for an optimized design of concrete constructions, and allow us to consider all types of complexities: for example, those linked to rheological, physicochemical and mechanical properties of concrete, those linked to the geometry of the structures or even to the environmental boundary conditions. This optimization must also respect constraints of time, money, security, energy, CO2 emissions, and, more generally, life cycle more reliably than the codes and analytical approaches currently used. Numerical methods are, undoubtedly, the best calculation tools at the service of concrete eco-construction. The contributions present traditional and new ideas that will open novel research directions and foster multidisciplinary collaboration between different specialists.
001452780 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed July 12, 2022).
001452780 650_0 $$aConcrete construction$$vCongresses.
001452780 650_0 $$aSustainable construction$$xMaterials$$vCongresses.
001452780 655_7 $$aConference papers and proceedings.$$2fast$$0(OCoLC)fst01423772
001452780 655_0 $$aElectronic books.
001452780 7001_ $$aRossi, P.$$q(Pierre),$$d1956-
001452780 7001_ $$aTailhan, Jean-Louis.
001452780 77608 $$iPrint version:$$aRossi, Pierre.$$tNumerical Modeling Strategies for Sustainable Concrete Structures.$$dCham : Springer International Publishing AG, ©2022$$z9783031077456
001452780 830_0 $$aRILEM bookseries ;$$vv. 38.
001452780 852__ $$bebk
001452780 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-031-07746-3$$zOnline Access$$91397441.1
001452780 909CO $$ooai:library.usi.edu:1452780$$pGLOBAL_SET
001452780 980__ $$aBIB
001452780 980__ $$aEBOOK
001452780 982__ $$aEbook
001452780 983__ $$aOnline
001452780 994__ $$a92$$bISE