Description

Book Synopsis
This book comprises the proceedings of the Annual Conference of the Canadian Society of Civil Engineering 2021. The contents of this volume focus on specialty conferences in construction, environmental, hydrotechnical, materials, structures, transportation engineering, etc. This volume will prove a valuable resource for those in academia and industry.

Table of Contents
Chapter 1: Construction Innovation In The Province Of Quebec: Barriers, Drivers, Enablers And Impact.- Chapter 2: Economic Analysis Of Water Efficient Appliances And Fixtures In The Residential Sector.- Chapter 3: Integrating Building Information Modeling (Bim) And Sustainability Indicators And Criteria To Select Associated Construction Method At The Conceptual Design Stage Of Buildings.- Chapter 4: Discovery Of Energy Performance Patterns For Residential Buildings Through Machine Learning.

Proceedings of the Canadian Society of Civil

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    A Hardback by Scott Walbridge, Mazdak Nik-Bakht, Kelvin Tsun Wai Ng

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      Publisher: Springer Verlag, Singapore
      Publication Date: 26/05/2022
      ISBN13: 9789811909672, 978-9811909672
      ISBN10: 9811909679

      Description

      Book Synopsis
      This book comprises the proceedings of the Annual Conference of the Canadian Society of Civil Engineering 2021. The contents of this volume focus on specialty conferences in construction, environmental, hydrotechnical, materials, structures, transportation engineering, etc. This volume will prove a valuable resource for those in academia and industry.

      Table of Contents
      Chapter 1: Construction Innovation In The Province Of Quebec: Barriers, Drivers, Enablers And Impact.- Chapter 2: Economic Analysis Of Water Efficient Appliances And Fixtures In The Residential Sector.- Chapter 3: Integrating Building Information Modeling (Bim) And Sustainability Indicators And Criteria To Select Associated Construction Method At The Conceptual Design Stage Of Buildings.- Chapter 4: Discovery Of Energy Performance Patterns For Residential Buildings Through Machine Learning.

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