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Variable-fidelity optimization with design space reduction 被引量:3
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作者 Mohammad Kashif Zahir Gao Zhenghong 《Chinese Journal of Aeronautics》 SCIE EI CAS CSCD 2013年第4期841-849,共9页
Advanced engineering systems, like aircraft, are defined by tens or even hundreds of design variables. Building an accurate surrogate model for use in such high-dimensional optimization problems is a difficult task ow... Advanced engineering systems, like aircraft, are defined by tens or even hundreds of design variables. Building an accurate surrogate model for use in such high-dimensional optimization problems is a difficult task owing to the curse of dimensionality. This paper presents a new algorithm to reduce the size of a design space to a smaller region of interest allowing a more accurate surrogate model to be generated. The framework requires a set of models of different physical or numerical fidelities. The low-fidelity (LF) model provides physics-based approximation of the high-fidelity (HF) model at a fraction of the computational cost. It is also instrumental in identifying the small region of interest in the design space that encloses the high-fidelity optimum. A surrogate model is then constructed to match the low-fidelity model to the high-fidelity model in the identified region of interest. The optimization process is managed by an update strategy to prevent convergence to false optima. The algorithm is applied on mathematical problems and a two-dimen-sional aerodynamic shape optimization problem in a variable-fidelity context. Results obtained are in excellent agreement with high-fidelity results, even with lower-fidelity flow solvers, while showing up to 39% time savings. 展开更多
关键词 Airfoil optimization Curse of dimensionality design space reduction Genetic algorithms Kriging Surrogate models Surrogate update strategies Variable fidelity
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Application of the Concept of“Endowing the Old with the New”in Urban Renewal
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作者 JI Yuan 《Journal of Landscape Research》 2023年第2期21-26,共6页
The renewal of ancient cities is an important part of the urban renewal work in China.However,there are few studies on the general historical ancient cities at the county level in China,and there is no guidance on the... The renewal of ancient cities is an important part of the urban renewal work in China.However,there are few studies on the general historical ancient cities at the county level in China,and there is no guidance on the renewal path.Through the practice of the renewal design project of Suining County,Xuzhou City,it makes an exploratory study on the renewal concept and mode.It first interprets the connotation and implementation path of the renewal concept of“endowing the old with the new”.Based on the texture analysis of the ancient city of Suining,it finally determines the design theme that tracing the historical context of the ancient city.Using the renewal techniques such as“extraction-transformationactivation”,through the renewal strategies such as“building new space,shaping new landscape,inheriting new culture and pregnant with new environment”,it realizes the regeneration of urban historical context and meets the needs of residents'modern life,so as to provide reference and guidance for the renovation of general historical ancient cities at the county level in China. 展开更多
关键词 Endowing the old with the new Ancient city renewal update design Application research
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A study on the brand IP identity design of a healthcare brand using generative AI technology—focused on Yunnan Baiyao
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作者 Pengrui Zhang 《Advances in Humanities Research》 2025年第4期81-92,共12页
Against the backdrop of growing health awareness and a younger consumer market,healthcare brands face the dualchallenge of revitalizing their visual identity while preserving brand heritage.This is particularly pressi... Against the backdrop of growing health awareness and a younger consumer market,healthcare brands face the dualchallenge of revitalizing their visual identity while preserving brand heritage.This is particularly pressing for traditional Chinesemedicine brands,which urgently need to adopt innovative design approaches to develop brand IP identities that combine culturaldepth with contemporary appeal.This study centers on Yunnan Baiyao as a core case and integrates generative ArtificialIntelligence(AI)technology to explore strategies for updating brand identities that align with brand tonality while offeringconsistency and visual recognizability.First,the study conducts a literature review and case analysis to examine the developmenttrends in healthcare brand identity design.It then performs a Strengths,Weakness,Opportunities and Threats(SWOT)analysisof Yunnan Baiyao’s existing visual assets to clarify the strengths and areas for improvement in its brand identity.Based on thebrand’s core values and cultural background,prompt engineering and image generation experiments using generative AI arecarried out to explore systematic expressions of IP characters,graphic styles,and communication media.The research aims toconstruct a brand identity system that blends tradition and modernity through innovative applications of visual language,colorschemes,and narrative strategies—ultimately enhancing brand recognizability,emotional resonance,and marketcompetitiveness. 展开更多
关键词 generative AI technology updated design brand design
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