Geometrical Enhancements Based On Data Driven Design Decisions
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Geometrical Enhancements Based on Data-Driven Design Decisions
The text presents various design and modelling solutions for effective decision-making that are grounded on the basics of data analytics. It further discusses important topics such as sustainable design and data-driven design synthesis, product analytics and its role in sustainable development, and descriptive models for the geometrical evaluation of product features. This book: Familiarize the readers with the numerous decision protocols that can be utilized for deducing geometrical qualities using data-driven design analysis Offers a more comprehensive approach to multidisciplinary engineering applications using data-driven modelling and analysis Discusses multi-objective optimization for product design and development through data-driven decision-making Explains information processing and analysis through data visualization and data mining Covers artificial intelligence and machine learning-based decision models and their effective utilization across interdisciplinary applications It is primarily written for senior undergraduate, graduate students, and academic researchers in fields including industrial engineering, production engineering, manufacturing engineering, mechanical engineering, and aerospace engineering.
Geometrical Enhancements Based on Data-Driven Design Decisions
The text presents various design and modelling solutions for effective decision-making that are grounded on the basics of data analytics. It further discusses important topics such as sustainable design and data-driven design synthesis, product analytics and its role in sustainable development, and descriptive models for the geometrical evaluation of product features. This book: Familiarize the readers with the numerous decision protocols that can be utilized for deducing geometrical qualities using data-driven design analysis Offers a more comprehensive approach to multidisciplinary engineering applications using data-driven modelling and analysis Discusses multi-objective optimization for product design and development through data-driven decision-making Explains information processing and analysis through data visualization and data mining Covers artificial intelligence and machine learning-based decision models and their effective utilization across interdisciplinary applications It is primarily written for senior undergraduate, graduate students, and academic researchers in fields including industrial engineering, production engineering, manufacturing engineering, mechanical engineering, and aerospace engineering.
Data-Driven Design and Construction
“In this comprehensive book, Professor Randy Deutsch has unlocked and laid bare the twenty-first century codice nascosto of architecture. It is data. Big data. Data as driver. . .This book offers us the chance to become informed and knowledgeable pursuers of data and the opportunities it offers to making architecture a wonderful, useful, and smart art form.” —From the Foreword by James Timberlake, FAIA Written for architects, engineers, contractors, owners, and educators, and based on today’s technology and practices, Data-Driven Design and Construction: 25 Strategies for Capturing, Applying and Analyzing Building Data addresses how innovative individuals and firms are using data to remain competitive while advancing their practices. seeks to address and rectify a gap in our learning, by explaining to architects, engineers, contractors and owners—and students of these fields—how to acquire and use data to make more informed decisions. documents how data-driven design is the new frontier of the convergence between BIM and architectural computational analyses and associated tools. is a book of adaptable strategies you and your organization can apply today to make the most of the data you have at your fingertips. Data-Driven Design and Construction was written to help design practitioners and their project teams make better use of BIM, and leverage data throughout the building lifecycle.