The primary aim of this project is to explore the application of fiber optic sensing (FOS) for strain measurements at crucial points in reinforced concrete structures. This is intended to evaluate structural performance and identify potential damage. FOS enables real-time… Read More »Bridge Monitoring with Distributed Fiber-optic Sensing Technology
This project seeks to demonstrate the ability of fiber optic sensing (FOS) technology to produce meaningful data that characterize single-axis tracking systems with regard to dynamic wind loading. This project will explore the ability of FOS technology to capture frequency modes,… Read More »Distributed Strain Sensing of a Solar PV single-axis tracking system located at the Nextracker Development Center
Optical Frequency Domain Reflectometry (OFDR), a specialized branch of Fiber Optic Sensing (FOS), is emerging as a transformative approach in Structural Health Monitoring (SHM) of Reinforced Concrete (RC) structures. This research explores OFDR’s potential in post-earthquake damage assessment, contrasting its… Read More »Enhanced Post-Earthquake Structural Assessment of Reinforced Concrete Moment Frames through Distributed Fiber Optic Sensing
LEM is a numerical method that is used to investigate fracture development in rock materials. It is a novel approach that does not require fracture path to be predefined. Fully coupled 1D beam-element lattice networks are used to represent 3D… Read More »Lattice Element Method (LEM)
FEM is a numerical method that utilizes discretization to develop then solve a system of equations to numerically approximate the solution to differential equations of interest. Beyond geotechnical modeling, FEM is very frequently used for modeling structural analysis, heat transfer,… Read More »Finite Element Method (FEM)
MPM is a particle-based method that represents material as a collection of material points. Each material point’s movement is determined via solving Newton’s laws of motion. MPM is a hybrid Eulerian-Lagrangian approach, which uses moving material points and a fixed… Read More »Material Point Method (MPM)
This project examines technology adoption by the cities, counties, and other local government agencies that manage infrastructure. Which types of institutions are more likely to adopt new technologies and why? Which technologies are more likely to be adopted? How do… Read More »Smart City Technology Adoption
CSI has collaborated with the EBMUD to deploy AI/ML techniques to improve water distribution network resiliency. This is a rapidly developing sector of CSI+EBMUD collaboration! 1) Investigating the Effects of Operational and Environmental Factors on Water Distribution Pipeline Failures using… Read More »EBMUD – Water Network Resiliency Evaluation
CSI has collaborated with notable entities in the Tunneling & Underground Construction industry: Sizense, Enzan Koubou, and Kajima to implement AI/ML techniques to improve TBM tunneling. 1) Supervised geologic interpretation based on TBM data This research aims to develop a… Read More »Sixense / Enzan / Kajima – AI/ML for TBM Tunneling
In response to the NSF Smart & Connected Communities program, this project aims at initiating and expanding collective learning capacity through integrating digital twin simulations and social digital serious games. The goal of this project is to engage decision makers… Read More »SCC-IRG Track 1 Designing Smart, Sustainable Risk Reduction in Hazard-Prone Communities: Modeling Risk Across Scales of Time and Space