LEADER 03266nam 22005775 450 001 9910299405403321 005 20200707023304.0 010 $a3-662-55239-6 024 7 $a10.1007/978-3-662-55239-1 035 $a(CKB)4100000001381706 035 $a(DE-He213)978-3-662-55239-1 035 $a(MiAaPQ)EBC5210878 035 $a(PPN)222228768 035 $a(EXLCZ)994100000001381706 100 $a20171228d2018 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aImaging the Rupture Processes of Earthquakes Using the Relative Back-Projection Method $eTheory and Applications /$fby Hao Zhang 205 $a1st ed. 2018. 210 1$aBerlin, Heidelberg :$cSpringer Berlin Heidelberg :$cImprint: Springer,$d2018. 215 $a1 online resource (XI, 117 p. 47 illus., 37 illus. in color.) 225 1 $aSpringer Theses, Recognizing Outstanding Ph.D. Research,$x2190-5053 311 $a3-662-55237-X 320 $aIncludes bibliographical references. 327 $aIntroduction -- Generalized array imaging on rupture processes of earthquakes: Principle and Theoretical Tests -- Relative back-projection method and its application to the 2008 Wenchuan, China earthquake -- Imaging the rupture process of the 2010 Mw 8.8 Chilean earthquake using the relative back-projection method -- Three sub-event rupture in the 2011 Mw 9.0 Tohoku, Japan earthquake revealed by teleseimsic P waves -- Multi-fault rupture and successive triggering during the 2012 Mw 8.6 Sumatra earthquake -- Discussion, conclusions and prospectives. 330 $aThis thesis adopts the relative back-projection method to dramatically reduce ?swimming? artifacts by identifying the rupture fronts in the time window of a reference station; this led to a faster and more accurate image of the rupture processes of earthquakes. Mitigating the damage caused by earthquakes is one of the primary goals of seismology, and includes saving more people?s lives by devising seismological approaches to rapidly analyze an earthquake?s rupture process. The back-projection method described in this thesis can make that a reality.   . 410 0$aSpringer Theses, Recognizing Outstanding Ph.D. Research,$x2190-5053 606 $aGeophysics 606 $aNatural disasters 606 $aSedimentology 606 $aGeophysics/Geodesy$3https://scigraph.springernature.com/ontologies/product-market-codes/G18009 606 $aNatural Hazards$3https://scigraph.springernature.com/ontologies/product-market-codes/G32000 606 $aSedimentology$3https://scigraph.springernature.com/ontologies/product-market-codes/G17080 615 0$aGeophysics. 615 0$aNatural disasters. 615 0$aSedimentology. 615 14$aGeophysics/Geodesy. 615 24$aNatural Hazards. 615 24$aSedimentology. 676 $a551.22 700 $aZhang$b Hao$4aut$4http://id.loc.gov/vocabulary/relators/aut$01058046 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910299405403321 996 $aImaging the Rupture Processes of Earthquakes Using the Relative Back-Projection Method$92546113 997 $aUNINA LEADER 05073nam 22005535 450 001 9910299225903321 005 20250609110125.0 010 $a1-4471-5634-X 024 7 $a10.1007/978-1-4471-5634-5 035 $a(CKB)3710000000403988 035 $a(EBL)2095492 035 $a(SSID)ssj0001501011 035 $a(PQKBManifestationID)11904650 035 $a(PQKBTitleCode)TC0001501011 035 $a(PQKBWorkID)11524030 035 $a(PQKB)10661909 035 $a(DE-He213)978-1-4471-5634-5 035 $a(MiAaPQ)EBC2095492 035 $a(PPN)185487084 035 $a(MiAaPQ)EBC3109980 035 $a(EXLCZ)993710000000403988 100 $a20150430d2015 u| 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aModeling and Simulation in the Systems Engineering Life Cycle $eCore Concepts and Accompanying Lectures /$fedited by Margaret L. Loper 205 $a1st ed. 2015. 210 1$aLondon :$cSpringer London :$cImprint: Springer,$d2015. 215 $a1 online resource (405 p.) 225 1 $aSimulation Foundations, Methods and Applications,$x2195-2817 300 $aDescription based upon print version of record. 311 08$a1-4471-5633-1 320 $aIncludes bibliographical references and index. 327 $aPart I: Modeling & Simulation Fundamentals -- Introduction to Modeling & Simulation -- The Modeling & Simulation Lifecycle Process -- Fidelity, Resolution, Accuracy and Uncertainty -- Conceptual Modeling -- Types of Models -- Model Verification & Validation -- Part II: Methods and Methodologies -- Modeling the Environment -- Modeling Behavior -- Modeling Time -- Discrete Event Simulation -- Continuous Time Simulation -- Agent Based Simulation -- System Dynamics Simulation -- Hardware-in-the-Loop Simulation -- Human-in-the-Loop Simulation -- Part III: Experimentation, Execution & Results -- Design of Experiments -- Surrogate Modeling -- Monte Carlo Analysis -- Wargames -- Distributed Simulation & Architectures -- Part IV: Introduction to Systems Engineering -- Systems Engineering Fundamentals -- Introduction to Systems Thinking -- Model Based Systems Engineering -- Part V: M&S in Systems Engineering Life Cycle -- Real-time Data Driven Arterial Simulation for Performance Measure Estimation -- Rotorcraft Pilot's Associate -- Framework Assessing Cost and Technology -- Model Based Systems Engineering: Extracorporeal Membrane Oxygenation (ECMO) Therapy -- Computational Modeling of Complex Enterprise Systems: A Multi-Level Approach -- Real Time Simulation of a Nuclear Power Plant with Embedded Hardware -- Return on Investment Metrics for Funding Modeling and Simulation. 330 $aThis easy to read text/reference provides a broad introduction to the fundamental concepts of modeling and simulation (M&S) and systems engineering, highlighting how M&S is used across the entire systems engineering lifecycle. Each chapter corresponds to a short lecture covering a core topic in M&S or systems engineering. Topics and features: ·         Reviews the full breadth of technologies, methodologies and uses of M&S, rather than just focusing on a specific aspect of the field ·         Presents contributions from renowned specialists in each topic covered ·         Introduces the foundational elements and processes that serve as the groundwork for understanding M&S ·         Explores common methods and methodologies used in M&S, explaining the difference between these two similar sounding terms ·         Discusses how best to design and execute experiments, covering the use of Monte Carlo techniques, surrogate modeling, and distributed simulation ·         Explores the use of M&S throughout the systems development lifecycle, describing a number of methods, techniques, and tools available to support systems engineering processes ·         Provides a selection of case studies illustrating the use of M&S in systems engineering across a variety of domains Designed to support both professional and undergraduate education in M&S, this helpful and authoritative work presents a comprehensive overview of the discipline, with an emphasis on the key concepts that systems engineers need to understand in order to be effective in their jobs. Dr. Margaret L. Loper is a Chief Scientist in the Information & Communications Laboratory at Georgia Tech Research Institute, Atlanta, GA, USA. . 410 0$aSimulation Foundations, Methods and Applications,$x2195-2817 606 $aComputer simulation 606 $aSimulation and Modeling$3https://scigraph.springernature.com/ontologies/product-market-codes/I19000 615 0$aComputer simulation. 615 14$aSimulation and Modeling. 676 $a003.3 676 $a004 702 $aLoper$b Margaret L$4edt$4http://id.loc.gov/vocabulary/relators/edt 906 $aBOOK 912 $a9910299225903321 996 $aModeling and Simulation in the Systems Engineering Life Cycle$92520009 997 $aUNINA