Daniel A. Kuchma

Associate Professor
Burton & Erma Lewis Faculty Scholar

2106 Newmark Civil Engineering Laboratory

205 N. Mathews Ave. Urbana, IL 61801

Phone: 
(217) 333-1571
Fax: 
(217) 265-8040

Daniel A. Kuchma holds a B.A.Sc. (University of Toronto 1987), M.A.Sc. (University of Toronto 1989), and Ph.D. (University of Toronto 1996), all in civil engineering. He has been on the faculty of the department of Civil and Environmental Engineering at the University of Illinois since 1997. He has worked on a variety of consulting projects involving offshore structures, hydroelectric dams, towers, buildings and specialty structures.

Dr. Kuchma has taught graduate and undergraduate courses on structural dynamics, statics, reinforced concrete, prestressed concrete, and also on experimental methods.

Dr. Kuchma is a member of several professional societies including the American Concrete Institute (ACI) and the Federation International de Beton (fib). He serves on ACI Committee 318E on "Shear and Torsion", ACI Subcommittee 445-A "Strut and Tie", and on ACI Subcommittee 445-F on "Shear Database". He is chair on fib Working Party 4.4.4 on "Benchmark Tests and Validation Procedures".

Dr. Kuchma is the recipient of a National Science Foundation CAREER Award on "Tools and Research to Advance the Use of Strut-and-Tie Models in Education and Design". He is also a National Center for Supercomputing Applications Faculty Fellow and University of Illinois Collins Scholar. He has also been included on the list of outstanding instructors at the University of Illinois.

Research Overview: 

Dr. Kuchma's research interests include the design and behavior of reinforced and prestressed concrete structures subject to complex states of stress. Some of his recent activities involve investigating the behavior of structural concrete designed by the strut-and-tie method as well as the shear design of high-strength concrete bridge girders. In addition, Dr. Kuchma is studying how advanced instrumentation methods can be used in physical experiments for the development, calibration, and validation of more comprehensive and reliable numerical models.