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Record Nr. |
UNINA9910820810803321 |
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Autore |
Sóbester András |
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Titolo |
Aircraft aerodynamic design : geometry and optimization / / András Sóbester, Alexander Forrester |
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Pubbl/distr/stampa |
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Chichester, England : , : Wiley, , 2015 |
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©2015 |
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ISBN |
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1-5231-2340-0 |
1-118-53473-5 |
1-118-53474-3 |
1-118-53471-9 |
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Descrizione fisica |
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1 online resource (246 p.) |
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Collana |
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Aerospace Series |
THEi Wiley ebooks |
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Classificazione |
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Disciplina |
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Soggetti |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di bibliografia |
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Includes bibliographical references and index. |
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Sommario/riassunto |
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"Optimal aircraft design is impossible without a parametric representation of the geometry of the airframe. We need a mathematical model equipped with a set of controls, or design variables, which generates different candidate airframe shapes in response to changes in the values of these variables. This model's objectives are to be flexible and concise, and capable of yielding a wide range of shapes with a minimum number of design variables. Moreover, the process of converting these variables into aircraft geometries must be robust. Alas, flexibility, conciseness and robustness can seldom be achieved simultaneously.Aircraft Aerodynamic Design: Geometry and Optimization addresses this problem by navigating the subtle trade-offs between the competing objectives of geometry parameterization. It beginswith the fundamentals of geometry-centred aircraft design, followed by a review of the building blocks of computational geometries, the curve and surface formulations at the heart of aircraft geometry. The authors then cover a range of legacy formulations in the |
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build-up towards a discussion of the most flexible shape models used in aerodynamic design (with a focus on lift generating surfaces). The book takes a practical approach and includes MATLAB(r), Python and Rhinoceros(r) code, as well as 'real-life' example case studies.Key features: Covers effective geometry parameterization within the context of design optimization Demonstrates how geometry parameterization is an important element of modern aircraft design Includes code and case studies which enable the reader to apply each theoretical concept either as an aid to understanding or as a building block of their own geometry model Accompanied by a website hosting codes Aircraft Aerodynamic Design: Geometry and Optimization is a practical guide for researchers and practitioners in the aerospace industry, and a reference for graduate and undergraduate students in aircraft design and multidisciplinary design optimization"-- |
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2. |
Record Nr. |
UNINA9910739410603321 |
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Titolo |
Analytics in Smart Tourism Design : Concepts and Methods / / edited by Zheng Xiang, Daniel R. Fesenmaier |
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Pubbl/distr/stampa |
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Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 |
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Edizione |
[1st ed. 2017.] |
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Descrizione fisica |
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1 online resource (309 p.) |
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Collana |
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Tourism on the Verge, , 2366-2611 |
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Disciplina |
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Soggetti |
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Tourism |
Management |
Big data |
Internet marketing |
Tourism Management |
Big Data/Analytics |
Online Marketing/Social Media |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Description based upon print version of record. |
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Nota di contenuto |
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Introduction -- Part I: Travel Demand Analytics -- Part II: Analytics in Every Day Life and Travel -- Part III: Tourism Geoanalytics -- Part IV: Web and Social Media Analytics: Concepts and Methods -- Part V: Case Studies in Web and Social Media Analytics -- Closing Remarks. . |
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Sommario/riassunto |
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This book presents cutting edge research on the development of analytics in travel and tourism. It introduces new conceptual frameworks and measurement tools, as well as applications and case studies for destination marketing and management. It is divided into five parts: Part one on travel demand analytics focuses on conceptualizing and implementing travel demand modeling using big data. It illustrates new ways to identify, generate and utilize large quantities of data in tourism demand forecasting and modeling. Part two focuses on analytics in travel and everyday life, presenting recent developments in wearable computers and physiological measurement devices, and the implications for our understanding of on-the-go travelers and tourism design. Part three embraces tourism geoanalytics, correlating social media and geo-based data with tourism statistics. Part four discusses web-based and social media analytics and presents the latest developments in utilizing user-generated content on the Internet to understand a number of managerial problems. The final part is a collection of case studies using web-based and social media analytics, with examples from the Sochi Olympics on Twitter, leveraging online reviews in the hotel industry, and evaluating destination communications and market intelligence with online hotel reviews. The chapters in this section collectively describe a range of different approaches to understanding market dynamics in tourism and hospitality. |
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