Introduction to Modern Infrastructure Construction - Softcover

Wang, George; Chen, Don; Brandenburg, Jennifer

Softcover

ISBN 10: 1032051590 ISBN 13: 9781032051598

Verlag: Routledge, 2024

Inhaltsangabe

Introducing the basics of infrastructure design and construction, this textbook offers an primer on civil construction. From the initial bid to a megaproject's final stages, this accessible guide to the construction manager's role on a heavy civil construction jobsite is suitable for graduate, undergraduate students and professionals.

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Über die Autorin bzw. den Autor

George Wang, PhD, PEng, F.ASCE, brings extensive professional experience across Australia, Canada, and the United States, with a long-standing career in both industry and academia. He currently holds the position of Gregory Poole Distinguished Professor of Construction Management at East Carolina University, where his teaching and research focus on infrastructure construction, sustainable technologies, and materials. Dr. Wang actively contributes to several technical committees, including those of ASCE, TRB, and ASTM, and is a lifetime member of ACCE.

Jennifer Brandenburg, PE, is a professional engineer with over 35 years of experience in government transportation agencies and the private sector. She holds a degree in civil engineering from North Carolina State University and has overseen numerous transportation infrastructure projects. Jennifer has also held senior management positions in the transportation industry and is currently an adjunct faculty member in construction management at East Carolina University.

Don Chen, PhD, LEED, has more than 30 years of experience in the engineering field. He is a professor at the University of North Carolina at Charlotte, teaching courses on Highway Design and Construction, Applied Analytics and Machine Learning, and Building Information Modeling (BIM). His research focuses on pavement performance evaluation and pavement management, emphasizing improving roadway network performance through local calibration, performance modeling, and deep learning.

Details zur Ausgabe

• Verlag: Routledge
• Erscheinungsdatum: 2024
• Sprache: Englisch
• ISBN 10: 1032051590
• ISBN 13: 9781032051598
• Einband: Taschenbuch
• Auflage: 1
• Anzahl der Seiten: 360
• Kontakt zum Hersteller: Taylor & Francis Verlag GmbH; GPSR@taylorandfrancis.com; ; Kaufingerstraße 24; München; 80331; Deutschland