Department of Civil Engineering & Construction | College of Engineering, Design and Computing
University of Colorado Denver
Department of Civil Engineering & Construction | College of Engineering, Design and Computing
University of Colorado Denver
Climate Adaptable Structural Engineering (CASE) represents a multi-disciplinary endeavor to tackle the untenable status quo surrounding our current cities facing the effects of climate change and other stressors that emerge throughout the 21st century. By working across disciplines encapsulating structural engineering, mechanical engineering, ocean engineering, and architecture, we aim to foster innovative solutions that enable future cities to adapt to a range of possible climate scenarios. To realize this objective, focus is placed on the following research themes:
Coastal structures subject to extreme wind, waves, and storm surge flooding
Floating structures as a sustainable alternative to land reclamation
Architecture-inspired solutions to urban resilience and structural art
CASE directly targets the goals of the Future World Vision initiative launched by the American Society of Civil Engineers (ASCE) and the United Nations UN-Habitat program for sustainable urban development.
Applied Ocean Mechanics for Structural Engineering and Climate Adaptation
This book introduces the theory and applications of ocean mechanics at a senior undergraduate or graduate level without assuming prior knowledge of hydrodynamics, wave theory, or related subjects. The objective is to equip students, educators, researchers, and designers with the necessary tools to promote infrastructure solutions that are more resilient and adaptable to ocean hazards exacerbated by a changing climate.
Numerical Analysis and Modeling of Floating Structures
This reprint highlights the growing importance of floating systems, as offshore engineering continues to expand into deeper waters and more challenging marine environments. The ten contributions in this volume demonstrate how advances in numerical methods, particularly computational fluid dynamics and integrated multi-physics modeling, enable more accurate prediction and analysis of these systems under realistic environmental conditions.
To inquire about research opportunities or collaborations, please contact the principal investigator.