000779112 000__ 07708cam\a2200553Mi\4500 000779112 001__ 779112 000779112 005__ 20230306142911.0 000779112 006__ m\\\\\o\\d\\\\\\\\ 000779112 007__ cr\nn\nnnunnun 000779112 008__ 170121s2017\\\\si\\\\\\ob\\\\000\0\eng\d 000779112 019__ $$a974651061$$a981114970$$a981814099 000779112 020__ $$a9789811030871$$q(electronic book) 000779112 020__ $$a9811030871$$q(electronic book) 000779112 020__ $$z9789811030864 000779112 0247_ $$a10.1007/978-981-10-3087-1$$2doi 000779112 035__ $$aSP(OCoLC)ocn969643385 000779112 035__ $$aSP(OCoLC)969643385$$z(OCoLC)974651061$$z(OCoLC)981114970$$z(OCoLC)981814099 000779112 040__ $$aEBLCP$$beng$$epn$$cEBLCP$$dN$T$$dGW5XE$$dOCLCF$$dUAB$$dOCLCQ$$dNJR$$dYDX$$dMERUC$$dIDEBK$$dCCO$$dUPM$$dVT2$$dUWO$$dIOG 000779112 049__ $$aISEA 000779112 050_4 $$aQE539.2.S34 000779112 050_4 $$aTA1-2040 000779112 08204 $$a624.1/762$$223 000779112 08204 $$a690.383 000779112 1001_ $$aLu, Xinzheng. 000779112 24510 $$aEarthquake disaster simulation of civil infrastructures :$$bfrom tall buildings to urban areas /$$cXinzheng Lu, Hong Guan. 000779112 260__ $$aSingapore :$$bSpringer,$$c2017. 000779112 300__ $$a1 online resource (451 pages) 000779112 336__ $$atext$$btxt$$2rdacontent 000779112 337__ $$acomputer$$bc$$2rdamedia 000779112 338__ $$aonline resource$$bcr$$2rdacarrier 000779112 347__ $$atext file$$bPDF$$2rda 000779112 500__ $$a4.2.3.2 Earthquake-Induced Collapse Subjected to One-Directional El-Centro Ground Motion. 000779112 504__ $$aIncludes bibliographical references. 000779112 5050_ $$aPreface; Contents; Abbreviations; 1 Introduction; 1.1 Research Background; 1.2 Significance and Implication of Earthquake Disaster Simulation of Civil Infrastructures; 1.3 Research Framework and Contents; 2 High-Fidelity Computational Models for Earthquake Disaster Simulation of Tall Buildings; 2.1 Introduction; 2.2 Fiber-Beam Element Model; 2.2.1 Fundamental Principals; 2.2.2 Uniaxial Stress-Strain Model of Concrete; 2.2.2.1 Compressive Stress-Strain Model of Concrete; 2.2.2.2 Tensile Stress-Strain Model of Concrete; 2.2.3 Uniaxial Stress-Strain Model of Steel Reinforcement. 000779112 5058_ $$a2.2.4 Validation Through Reinforced Concrete Specimens2.2.5 Stress-Strain Model of Composite Components; 2.3 Multilayer Shell Model; 2.3.1 Fundamental Principal; 2.3.2 High-Performance Flat Shell Element NLDKGQ; 2.3.2.1 Background; 2.3.2.2 Formulation of the NLDKGQ Element; 2.3.2.3 Validation Through Classical Benchmark Problems; 2.3.3 Constitutive Model of Concrete and Steel; 2.3.4 Implementation of Multilayer Shell Element in OpenSees; 2.3.5 Validation Through Reinforced Concrete Specimens; 2.3.5.1 RC Shear Wall Experiments; 2.3.5.2 A Pseudo-Static Collapse Experiment of an RC Column. 000779112 5058_ $$a2.3.6 Collapse Simulation of an RC Frame Core-Tube Tall Building2.4 Hysteretic Hinge Model; 2.4.1 Overview; 2.4.2 The Proposed Hysteretic Hinge Model; 2.4.3 Validation of the Proposed Hysteretic Hinge Model; 2.5 Multi-scale Modeling; 2.5.1 Overview; 2.5.2 Interface Modeling; 2.6 Element Deactivation and Collapse Simulation; 2.6.1 Element Deactivation for Component Failure Simulation; 2.6.2 Visualization of the Movement of Deactivated Elements Using Physics Engine; 2.6.2.1 Background; 2.6.2.2 Integrated Approach for Fragment Simulation; 2.6.2.3 Case Study; 2.7 Summary. 000779112 5058_ $$a3 High-Performance Computing and Visualization for Earthquake Disaster Simulation of Tall Buildings3.1 Introduction; 3.2 GPU-Based High-Performance Matrix Solvers for OpenSees; 3.2.1 Fundamental Conception of General-Purpose Computing on GPU (GPGPU); 3.2.2 High-Performance Solver for Sparse System of Equations (SOE) in OpenSees; 3.2.3 Case Studies; 3.3 Physics Engine-Based High-Performance Visualization; 3.3.1 Overview; 3.3.2 Overall Visualization Framework; 3.3.3 Clustering-Based Key Frame Extractions; 3.3.4 Parallel Frame Interpolation; 3.3.4.1 Interpolation Model Based on the B-Spline. 000779112 5058_ $$a3.3.4.2 GPU-Based Parallel Frame Interpolation3.3.4.3 Optimized Access Model Based on Shared Memory; 3.3.5 Case Study; 3.4 Summary; 4 Earthquake Disaster Simulation of Typical Supertall Buildings; 4.1 Introduction; 4.2 Earthquake Disaster Simulation of the Shanghai Tower; 4.2.1 Overview of the Shanghai Tower; 4.2.2 Finite Element Model of the Shanghai Tower; 4.2.2.1 Material Constitutive Laws; 4.2.2.2 Core Tube; 4.2.2.3 Outrigger, External Frame, and Other Components; 4.2.2.4 Mega-columns; 4.2.3 Earthquake-Induced Collapse Simulation; 4.2.3.1 Basic Dynamic Characteristics. 000779112 506__ $$aAccess limited to authorized users. 000779112 520__ $$aBased on more than 12 years of systematic investigation on earthquake disaster simulation of civil infrastructures, this book covers the major research outcomes including a number of novel computational models, high performance computing methods and realistic visualization techniques for tall buildings and urban areas, with particular emphasize on collapse prevention and mitigation in extreme earthquakes, earthquake loss evaluation and seismic resilience. Typical engineering applications to several tallest buildings in the world (e.g., the 632 m tall Shanghai Tower and the 528 m tall Z15 Tower) and selected large cities in China (the Beijing Central Business District, Xi'an City, Taiyuan City and Tangshan City) are also introduced to demonstrate the advantages of the proposed computational models and techniques. The high-fidelity computational model developed in this book has proven to be the only feasible option to date for earthquake-induced collapse simulation of supertall buildings that are higher than 500 m. More importantly, the proposed collapse simulation technique has already been successfully used in the design of some real-world supertall buildings, with significant savings of tens of thousands of tons of concrete and steel, whilst achieving a better seismic performance and safety. The proposed novel solution for earthquake disaster simulation of urban areas using nonlinear multiple degree-of-freedom (MDOF) model and time-history analysis delivers several unique advantages: (1) true representation of the characteristic features of individual buildings and ground motions; (2) realistic visualization of earthquake scenarios, particularly dynamic shaking of buildings during earthquakes; (3) detailed prediction of seismic response and losses on each story of every building at any time period. The proposed earthquake disaster simulation technique has been successfully implemented in the seismic performance assessments and earthquake loss predictions of several central cities in China. The outcomes of the simulation as well as the feedback from the end users are encouraging, particularly for the government officials and/or administration department personnel with limited professional knowledge of earthquake engineering. The book offers readers a systematic solution to earthquake disaster simulation of civil infrastructures. The application outcomes demonstrate a promising future of the proposed advanced techniques. The book provides a long-awaited guide for academics and graduate students involving in earthquake engineering research and teaching activities. It can also be used by structural engineers for seismic design of supertall buildings. 000779112 588__ $$aDescription based on print version record. 000779112 650_0 $$aEarthquake hazard analysis. 000779112 650_0 $$aEarthquakes$$xSimulation methods. 000779112 7001_ $$aGuan, Hong. 000779112 77608 $$iPrint version:$$aLu, Xinzheng.$$tEarthquake Disaster Simulation of Civil Infrastructures : From Tall Buildings to Urban Areas.$$dSingapore : Springer Singapore, ©2016$$z9789811030864 000779112 852__ $$bebk 000779112 85640 $$3SpringerLink$$uhttps://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-981-10-3087-1$$zOnline Access$$91397441.1 000779112 909CO $$ooai:library.usi.edu:779112$$pGLOBAL_SET 000779112 980__ $$aEBOOK 000779112 980__ $$aBIB 000779112 982__ $$aEbook 000779112 983__ $$aOnline 000779112 994__ $$a92$$bISE