Research Projects

Through SC Solutions, we have recently received a Small Business Innovative Research (SBIR) award from US Department of Transportation (DOT) to develop a novel technology solution for operational monitoring and damage diagnosis of bridges. I will be serving as the Principal Investigator (PI) on this project. My colleagues at SC Solutions and UCLA will help me running this exciting research and technology development project. Stay tuned for more updates!

September 2018

Digital Twins for Bridge Management through the Integrating of Computer Vision Techniques and Finite Element Models

This innovative research proposes the development of a fast damage identification approach for building structures using a method similar to seismic tomography. The funding for this research was provided through the Caltech Terrestrial Hazard Observation and Reporting (THOR) program. This research is mainly led by Professor Monica Kohler.

January 2016 - September 2016

A Seismic Interferometry Approach for Rapid Post-Event Damage Identification of Building Structures

This research aimed at providing an innovative framework for senor placement to ensure the successful performance of nonlinear structural system identification methods. 

February 2015 - September 2015

Identifiability Assessment of Structural Models using an Information-Theoretic Approach

This research represents another innovation in my Ph.D. work. I have originally proposed and developed an innovative framework for output-only nonlinear system identification of civil structures based on nonlinear finite element (FE) model updating, utilizing only the measured structural response to earthquake excitations.

August 2014 - September 2015

Output-only Nonlinear System Identification of Civil Structures using Sparse Seismic Measurement Data

This project constitutes the flagship and chief novelty of my Ph.D. work. Through this cutting-edge research, we are developing a groundbreaking methodology that can draw a new pathway in structural health monitoring and damage identification practice. 

July 2013 - Jan 2015

Structural Health Monitoring and Damage Identification of Civil Structures Based on Nonlinear Finite Element Model Updating using Bayesian Inference Framework

To support the BNCS project, a detailed three-dimensional nonlinear finite element model of the structure was developed and used for pre-test response simulations to predict the response of the test specimen, support the seismic test protocol design, and guide the instrumentation layout for both the structure and NCSs. This challenging research study was accomplished in three phases.

March 2011 - December 2012

Pre-Test Nonlinear Finite Element Response Simulation of the BNCS Full-Scale Five-Story Reinforced Concrete Building

Using input-output and output-only structural vibration data, the modal properties of the test specimen were identified and studied both during construction and at different stages between the seismic tests. This research allowed for studying the effects of the construction process and both structural and nonstructural damage on the dynamic properties of the building system.

June 2011 - December 2012 

System Identification of the BNCS Full-Scale Five-Story Reinforced Concrete Building 

BNCS was a landmark project involving the earthquake and post-earthquake fire testing of a five-story reinforced concrete building specimen built at full-scale and completely furnished with non-structural components and systems. ​As a core team member, I was closely involved in and contributed at all the stages of this milestone test project from its early conceptual design through the end of demolition.

January 2011 - October 2013 

BNCS: Full-Scale Structural and Nonstructural Building System Performance during Earthquakes and Post-Earthquake Fire

© 2014-2019 by Hamed Ebrahimian.