Links About Tamas Liszkai

• Tamas Liszkai | Facebook
  Tamas Liszkai has worked at NuScale, studied at Texas A&M, lives in Corvallis, Oregon and is from Miskolc, Hungary. Join Facebook to connect with Tamas ...
• Tamas Liszkai (liszkait) on Twitter
  The latest from Tamas Liszkai (@liszkait). Tamas Liszkai is a Supervisory Engineer at NuScale Power leading a group of engineers designing the reactor ...
• Tamas Liszkai, Ph.D, P.E. | LinkedIn
  View Tamas Liszkai, Ph.D, P.E.'s professional profile on LinkedIn. LinkedIn is the world's largest business network, helping professionals like Tamas Liszkai, ...
• DBLP: Anne M. Raich
  
• Genetic and Evolutionary Computation--GECCO 2003: Genetic and Evolutionary ... - Erick Cantù-Paz - Google Books
  
• Genetic and Evolutionary Computation--GECCO 2003: Genetic and Evolutionary ... - Erick Cantù-Paz - Google Books
  
• + Liszkai profiles | LinkedIn
  Tamas Liszkai, Ph.D, P.E.. Title: Solid Mechanics Supervisor at NuScale Power; Demographic info: Corvallis, Oregon Area | Oil & Energy. Current: Solid ...
• Tamas Liszkai, Ph.D, P.E. | LinkedIn
  
• Tamas Liszkai
  
• Tamas Liszkai
  
• Tamas Liszkai
  
• Scientific Commons: Tamas R. Liszkai
  Tamas R. Liszkai, Anne M. Raich. Accurately identifying damage is difficult after an extreme event since damage often cannot be directly measured. Sensors ...
• Tamas Liszkai
  
• Tamas Liszkai - NRC
  February 4, 2008. MEMORANDUM TO: Matthew A. Mitchell, Chief. Vessels & Internals Integrity Branch. Division of Component Integrity.
• STRUCTURAL DAMAGE DETECTION USING MODERN HEURISTICS
  Special thanks to Dr. Tamas Liszkai and Dr. Norris Stubbs for their inspiring advice and critiques. This research wouldn't have been completed without their ...
• Proceedings of the ASME ... / Vol. 7 / Operations, applications and ...
  461. Materials Aging Degradation of Reactor Vessel Internals Part III: Structural Evaluation - Local Finite Element Models. Matthew D. Snyder, Tamas R. Liszkai, ...
• Newsletter September 2006 - Fulbright Students' Association
  Tamas Liszkai. 09/08/74 Hungary. Rosa H Sadaruvalcaba. 09/08/62 Mexico. Eberhard Laepple. 09/09/74 Germany. Aneel Kumar Tanwani.
• Benefits of implicit redundant genetic algorithms for structural ...
  Liszkai, Tamas R.. Modern heuristics in structural damage detection using frequency response functions. Ph.D. Dissertation, Texas A&M University (2003).
• Multi-objective Optimization of Sensor and Excitation Layouts for ...
  ... and Excitation Layouts for Frequency Response Function-Based Structural Damage Identification. Anne M. Raich1,*,; Tamas R. Liszkai2.
• Multi-objective Optimization of Sensor and Excitation Layouts for Frequency Response Function-Based Structural Damage Identification. | ResearchGate
  
• Full article in PDF
  Anne Raich and Tamás Liszkai. Texas A&M University, Dept. of Civil Engineering
• Improving the Performance of Structural Damage Detection Methods ...
  by Anne M. Raich, A.M.ASCE, (Asst. Prof., Dept. of Civ. and Envir. Engrg., Lafayette Coll., Easton, PA 18064) and Tamás R. Liszkai, (Engr., Material and Struct.
• Computer-Aided Civil and Infrastructure Engineering, Volume 27
  Anne M. Raich, Tamás Liszkai: Multi-objective Optimization of Sensor and Excitation Layouts for Frequency Response Function-Based Structural Damage ...
• Prof. Anne M. Raich » Student Research Work - Sites at Lafayette
  Chair, Ph.D. Dissertation Committee, Tamas Liszkai, Robust FRF-based Damage Detection Methodology Using Genetic Algorithms, August 2003, Current ...
• Liszkai T. Benefits of implicit redundant genetic algorithms for structural damage detection in noisy environments-知来论文发表中心
  
• Vol 6, No 3/4
  T. Liszkai and J. Farkas. Minimum cost design of ring and stringer stiffened cylindrical shells. CAMES 1999 (6) 3/4: 425-437. In this paper the optimum design of ...
• Liszkai T. Benefits of implicit redundant genetic algorithms for ...
  author = {Anne Raich and Tamás Liszkai}, title = {Liszkai T. Benefits of implicit redundant genetic algorithms for structural damage detection in noisy ...
• DBLP: Tamás Liszkai (selection)
  Anne M. Raich, Tamás Liszkai: Multi-objective Optimization of Sensor and Excitation Layouts for Frequency Response Function-Based ...
• Modern Heuristics in Structural Damage Detection Using Frequency Response ... - Tama's Ro'bert Liszkai - Google Books
  
• Structural Health Monitoring 2003: From Diagnostics & Prognostics to ... - Google Books
  
• Abstract - SpringerLink
  
• CiteSeerX — Abstract Solving Inverse Problems in Structural Damage Identification Using Advanced Genetic Algorithm Representations
  
• DBLP Keys for 'Tamás Liszkai'
  
• Mechanical Collateral Damage Assessment of Reactor Vessel Bottom Mounted Nozzles: Part II---Analysis and Applications
  
• XANSYS ~ Viewing profile
  
• Search Sciweavers | Sciweavers
  
• BibSonomy :: publication :: Benefits of Implicit Redundant Genetic Algorithms for Structural Damage Detection in Noisy Environments.
  
• Sodium thermal-hydraulics in the pool LMFBR primary vessel-知来论文发表中心
  
• Aging Management of Nuclear Power Plant Reactor Internals-知来论文发表中心
  
• Expanding with a Lofty Goal.
  
• Materials Aging Degradation of Reactor Vessel Internals: Part I --- Thermal Hydraulics Evaluation
  
• GECCO 2003 - LNCS 2723
  Anne Raich and Tamás Liszkai. Texas A&M University Dept. of Civil Engineering College Station, Texas, 77843, USA {araich,tamas}@tamu.edu. Abstract.
• DBLP: Tamás Liszkai
  Anne M. Raich, Tamás Liszkai: Multi-objective Optimization of Sensor and Excitation Layouts for Frequency Response Function-Based Structural Damage ...
• Speakers - Nuclear Energy Insider
  Tamás R. Liszkai, Ph.D. P.E. Supervisory Engineer, Component Analysis and Fracture Mechanics, AREVA IncPresentation Title TBA View Bio, AREVA ...
• ANNIE - Artificial Neural Networks In Engineering
  Anne M. Raich, Tamas R. Liszkai, Texas A & M, College Station, TX and Framatome ANP, Lynchburg, VA USA TP2.3E Method for Assessing Quality of Food ...
•        Abstract Solving Inverse Problems in Structural Damage Identification Using Advanced Genetic Algorithm Representations 2005 - by, Tamas, R, Liszkai, Anne, M, Raich, Abstract, Solving, Inverse, Problems, Structural, Damage, Identification, Using, Advanced, Genetic, Algorithm, Representations, 2005, Accurately, identifying, damage, difficult, extreme, event, since, damage, often, cannot, directly, measured, Sensors, however, collect, data, reflects, damage, measuring, changes, structural, response, Therefore, damage, identification, becomes, inverse, goal, system, properties, using, limited, response, information, The, inverse, formulated, optimization, solved, using, implicit, redundant, representation, genetic, algorithm, IRR, GA, Element, damage, introduced, finite, element, model, using, damage, indicator, represent, loss, stiffness, The, damage, indicators, optimized, minimizing, difference, frequency, response, functions, obtained, damaged, structure, updated, structural, model, Although, accurate, structural, model, require, thousands, finite, elements, damaged, elements, typically, smaller, The, problem, however, damaged, elements, locations, known, beforehand, leads, unstructured, optimization, problem, To, solve, IRR, uses, redundant, segments, allow, design, variables, damage, indicators, during, optimization, damage, scenario, represented, subset, damage, indicators, instead, possible, damaged, elements, The, performance, method, two-span, beam, multi-story, frame, structures, evaluated, using, several, imposed, damage, scenarios, High, damage, identification, accuracy, obtained, limited, sensor, data, measurement, noise, present, sensor, data, The, method, identify, damage, larger, systems, difficult, solve, using, existing, methods, due, design, variables, - sciencestage.com More fields of science
  
• Anne M. Raich
  
• Benefits of Implicit Redundant Genetic Algorithms for Structural Damage Detection in Noisy Environments | Sciweavers
  
• Tamas R. Liszkai - Microsoft Academic Search
  View Tamas R. Liszkai (Tamás R. Liszkai)'s professional profile. Publications: 6 | Citations: 14 Field Rating: 2. Fields of study: Artificial Intelligence, Civil ...
• Improving the Performance of Structural Damage Detection Methods Using Advanced Genetic Algorithms
  
• Multi-objective genetic algorithms for sensor layout optimization in structural damage detection
  
• Benefits of Implicit Redundant Genetic Algorithms for Structural Damage Detection in Noisy Environments
  
• Multi-Objective Genetic Algorithm Methodology for Optimizing Sensor Layouts to Enhance Structural Damage Identification
  
• A model parameter updating damage detection technique using genetic algorithm
  
• Materials Aging Degradation of Reactor Vessel Internals: Part II---Structural Evaluation and Global Finite Element Models
  
• Agenda | Nuclear Long-Term Operations and Aging Management ...
  Tamás R. Liszkai, Ph.D. - P.E. Supervisory Engineer, Component Analysis and Fracture Mechanics, AREVA. 15.15-15.45, Prioritising Tasks: An Approach to a ...
• TDGS - "Anne M. Raich"
  
• Ebook: Liszkai T. Benefits of implicit redundant genetic algorithms ...
  by Anne Raich; Tamás Liszkai. Price: Free download. Rating: Point (0) (Not rated yet. Be the first). Reviews: 0 Review Ebook (Not reviewed yet.
• Structural Damage Detection via Modal Data with Genetic ...
  ... [7] Anne M. Raich, A.M.Asce;Tamás R. Liszkai Improving The Performance Of ... Raich;Tamás Liszkai Benefits Of Implicit Redundant Genetic Algorithms For ...
• Materials Aging Degradation of Reactor Vessel Internals: Part III---Structural Evaluation and Local Finite Element Models
  
• Anne M. Raich
  
• Benefits of Implicit Redundant Genetic Algorithms ... - ResearchGate
  Anne M. Raich, Tamás Liszkai. 01/2003; In proceeding of: Genetic and Evolutionary Computation - GECCO 2003, Genetic and Evolutionary Computation ...
• Application of Aging Management Strategies for Reactor Vessel Internals and Core Support Structures
  
• Mechanical Collateral Damage Assessment of Reactor Vessel Bottom Mounted Nozzles: Part I---Requirements and Methodology