Ping Jiang – författare

Reimagining Environmental Identity by Ping Jiang presents a compelling exploration of architectural practice designed to navigate the dynamic urban landscapes of China and beyond. The book showcases 19 diverse projects from Jiang’s studio, reflecting a novel approach to architecture that engages deeply with social, cultural, technological, and environmental issues. Rather than adhering to conventional architectural norms, Jiang's practice emphasises the creation of meaningful, context-sensitive designs that foster a profound connection between people and their environment. Through a range of projects, from high-rise buildings to urban interventions and civic structures, the monograph highlights a non-linear design process that blends spatial experience with cultural relevance and environmental sensitivity. It underscores the importance of forging a unique sense of place and identity in architecture, advocating for designs that resonate with both local and global contexts. This collection offers insights into how contemporary architecture can address the complexities of urban life while preserving and enhancing cultural and environmental values.

This book covers some of the most popular methods in design space sampling, ensembling surrogate models, multi-fidelity surrogate model construction, surrogate model selection and validation, surrogate-based robust design optimization, and surrogate-based evolutionary optimization.Surrogate or metamodels are now frequently used in complex engineering product design to replace expensive simulations or physical experiments. They are constructed from available input parameter values and the corresponding output performance or quantities of interest (QOIs) to provide predictions based on the fitted or interpolated mathematical relationships.The book highlights a range of methods for ensembling surrogate and multi-fidelity models, which offer a good balance between surrogate modeling accuracy and building cost. A number of real-world engineering design problems, such as three-dimensional aircraft design, are also provided to illustrate the ability of surrogates for supporting complex engineering design. Lastly, illustrative examples are included throughout to help explain the approaches in a more “hands-on” manner.

This book covers some of the most popular methods in design space sampling, ensembling surrogate models, multi-fidelity surrogate model construction, surrogate model selection and validation, surrogate-based robust design optimization, and surrogate-based evolutionary optimization.Surrogate or metamodels are now frequently used in complex engineering product design to replace expensive simulations or physical experiments. They are constructed from available input parameter values and the corresponding output performance or quantities of interest (QOIs) to provide predictions based on the fitted or interpolated mathematical relationships.The book highlights a range of methods for ensembling surrogate and multi-fidelity models, which offer a good balance between surrogate modeling accuracy and building cost. A number of real-world engineering design problems, such as three-dimensional aircraft design, are also provided to illustrate the ability of surrogates for supporting complex engineering design. Lastly, illustrative examples are included throughout to help explain the approaches in a more “hands-on” manner.